{ "data": { "a": { "slug": "deepgram-stt", "name": "Deepgram Speech-to-Text (Nova-3, Flux)", "vendor": "Deepgram", "vendorUrl": "https://deepgram.com", "kind": "model", "category": "speech-to-text", "summary": "Deepgram's speech-to-text API for recorded audio and live streams, including turn detection for voice agents.", "url": "https://www.anchorterminal.com/tools/deepgram-stt", "markdownUrl": "https://www.anchorterminal.com/tools/deepgram-stt.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepgram-stt.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json", "dns": "deepgram-stt.grade.anchorterminal.com", "repo": "https://github.com/deepgram/deepgram-python-sdk", "license": "MIT (SDKs)", "transports": [ "http", "streamable-http", "stdio", "sse" ], "remoteUrl": "https://api.deepgram.com/v1", "packages": [ { "registry": "npm", "name": "@deepgram/sdk" }, { "registry": "pypi", "name": "deepgram-sdk" }, { "registry": "pypi", "name": "deepctl" } ], "auth": "api-key", "authNotes": "`Authorization: Token \u003ckey\u003e` header on REST and WebSocket calls. Short-lived JWTs (30-second TTL) from the token endpoint for browsers. The `dg` CLI MCP server uses `dg login` credentials or `DEEPGRAM_API_KEY`. The docs MCP needs no key.", "pricing": "usage", "pricingNotes": "$200 free credit with no card, then pay as you go, or Growth from $4,000 a year prepaid for up to 20 per cent off. Nova-3 pre-recorded $0.0043 a minute (multilingual $0.0052, Growth $0.0036 and $0.0043). Streaming Nova-3 $0.0077 a minute, multilingual $0.0092, Flux English $0.0077 and Flux Multilingual $0.0078 (Growth $0.0065, $0.0078, $0.0065 and $0.0068). The promotional streaming rates listed on 30 September are gone. Streaming diarisation adds $0.0020 a minute, redaction $0.0020 and keyterm prompting $0.0013. Billed per second (https://deepgram.com/pricing).", "priceSummary": "Pay per use", "where": "both", "x402": { "level": "no", "evidence": "No x402 or machine payment in the docs or pricing. Card or prepaid credits only (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 468, "npmWeekly": 1123798, "pypiWeekly": 805026, "asOf": "2026-09-30" }, "docsUrl": "https://developers.deepgram.com/docs/models-languages-overview", "llmsTxt": "https://developers.deepgram.com/llms.txt", "openapi": "https://developers.deepgram.com/openapi.json", "capabilities": [ "speech.stt", "speech.streaming", "speech.batch", "speech.diarisation", "speech.languages" ], "tags": [ "hosted", "no-card", "closed-source", "python", "typescript", "openapi", "llms-txt", "mcp", "streaming", "batch", "webhooks", "enterprise", "self-hosted" ], "lastRelease": "2026-10-28", "graded": true, "anchor": { "graded": true, "score": 74.4, "grade": "BB", "agentReady": true, "rank": 76, "ranked": true, "rankOf": 1349, "categoryRank": 3, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 73, "payments": 40, "reliability": 80, "schema": 95, "security": 72, "transparency": 78 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": 0, "verdict": "Flux streams with model-level end-of-turn detection, so a voice agent needs no separate VAD. Training on audio is the default and the opt-out is a per-request flag.", "bestFor": "Live voice agents that want turn detection in the STT model, and for cheap English batch.", "strengths": [ "Flux streams with model-level end-of-turn detection, so a voice agent needs no separate VAD", "Nova-3 pre-recorded at $0.0043 a minute with diarisation included", "OpenAPI and AsyncAPI files, an llms.txt and SDKs in six languages", "Keys can carry a role and an expiry date", "$200 free credit with no card" ], "weaknesses": [ "Training on audio is the default and the opt-out is a per-request flag", "Nine partial speech-to-text incidents in the 90 days to 1 November 2026, the longest about 2.5 hours of slow batch requests on 22 October", "No SLA published for self-serve plans", "The privacy policy dates from October 2021 and doesn't mention the Model Improvement Program", "Streaming now costs $0.0077 a minute on pay as you go, the promotional rates having ended" ], "agentNotes": [ "Add `mip_opt_out=true` to every request that carries customer audio", "Use Flux (`flux-general-en`) on `/v2/listen` for live agents and Nova-3 for files", "Back off exponentially on 429. The concurrency limit is per project", "Pass `callback` for long files and verify callbacks with Basic Auth in the URL or an `extra` secret, not `dg-token`", "Pin `version` on `language=multi` if a change of model would break your tests" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 74.4 } ], "editorialScores": { "ergonomics": 75, "maintenance": 73, "payments": 40, "reliability": 80, "schema": 95, "security": 72, "transparency": 60 }, "provenanceScore": 95, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl -X POST \"https://api.deepgram.com/v1/listen?model=nova-3\u0026smart_format=true\u0026diarize=true\" \\\n -H \"Authorization: Token $DEEPGRAM_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"url\":\"https://dpgr.am/spacewalk.wav\"}'", "claudeCode": "claude mcp add deepgram-docs --transport http https://api.dx.deepgram.com/kapa/mcp", "config": { "mcpServers": { "deepgram": { "args": [ "mcp" ], "command": "dg", "env": { "DEEPGRAM_API_KEY": "${DEEPGRAM_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/deepgram-stt" }, "sameCompany": [ "deepgram-tts", "deepgram-voice-agent" ], "area": "voice", "unitPrices": [ { "item": "Nova-3 pre-recorded", "unit": "audio-minute", "usd": 0.0043, "note": "pay as you go, diarisation included" }, { "item": "Nova-3 Multilingual pre-recorded", "unit": "audio-minute", "usd": 0.0052 }, { "item": "Nova-3 streaming", "unit": "audio-minute", "usd": 0.0077, "note": "pay as you go, Growth $0.0065" }, { "item": "Nova-3 Multilingual streaming", "unit": "audio-minute", "usd": 0.0092, "note": "pay as you go, Growth $0.0078" }, { "item": "Flux English streaming", "unit": "audio-minute", "usd": 0.0077, "note": "pay as you go, Growth $0.0065" }, { "item": "Flux Multilingual streaming", "unit": "audio-minute", "usd": 0.0078, "note": "pay as you go, Growth $0.0068" }, { "item": "Streaming diarisation add-on", "unit": "audio-minute", "usd": 0.002 } ], "provenance": { "legalEntity": "Deepgram, Inc.", "domain": "deepgram.com", "domainRegistered": "2016-01-28", "endpointOnVendorDomain": true, "terms": "https://deepgram.com/terms", "privacy": "https://deepgram.com/privacy", "statusPage": "https://status.deepgram.com", "changelog": "https://developers.deepgram.com/changelog", "securityTxt": "valid", "checked": "2026-11-01", "notes": [ "https://deepgram.com/.well-known/security.txt answered 200 on 1 November 2026 with Contact mailto:security@deepgram.com and Expires 2027-09-30T00:00:00.000Z. It was not found on 30 September. developers.deepgram.com serves its docs host's own security.txt (buildwithfern.com), which isn't Deepgram's." ], "score": 95 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/deepgram-stt.json", "live": { "slug": "deepgram-stt", "probe": { "target": "https://api.deepgram.com/v1", "method": "get", "lastAt": "2026-11-04T21:39:20.444062156Z", "lastOk": true, "lastStatus": 404, "lastMs": 423, "authRequired": false, "uptime24h": 100, "uptime30d": 99.78, "p50ms24h": 464, "p95ms24h": 580, "samples24h": 247, "samples30d": 8090, "days": [ { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 238 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 248, "ok": 248 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 245 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 223, "ok": 223 } ], "outages": [ { "start": "2026-11-01T14:56:25.869723814Z", "end": "2026-11-01T15:19:07.046696746Z", "note": "HTTP 503 server error" }, { "start": "2026-10-16T18:32:08.990037736Z", "end": "2026-10-16T19:00:41.988742329Z", "note": "HTTP 503 server error" }, { "start": "2026-10-16T15:41:11.006527186Z", "end": "2026-10-16T15:58:18.194208173Z", "note": "HTTP 503 server error" } ] }, "vendorStatus": { "page": "https://status.deepgram.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-04T21:38:08.117111722Z" }, "versions": [ { "registry": "github", "name": "deepgram/deepgram-python-sdk", "version": "v7.17.0", "released": "2026-11-04", "seenAt": "2026-11-04T20:11:13.704865616Z" }, { "registry": "npm", "name": "@deepgram/sdk", "version": "5.18.0", "seenAt": "2026-11-04T20:11:10.773255418Z" }, { "registry": "pypi", "name": "deepctl", "version": "0.4.0", "released": "2026-10-20", "seenAt": "2026-11-04T20:11:11.718915241Z" }, { "registry": "pypi", "name": "deepgram-sdk", "version": "7.17.0", "released": "2026-11-04", "seenAt": "2026-11-04T20:11:11.606101686Z" } ], "githubStars": 477, "npmWeekly": 1337251, "pypiWeekly": 889170, "securityTxt": { "url": "https://deepgram.com/.well-known/security.txt", "state": "valid", "expires": "2027-09-30T00:00:00.000Z", "checkedAt": "2026-11-04T15:53:43.262343886Z" }, "llmsTxt": { "url": "https://developers.deepgram.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-04T15:22:44.828197036Z" }, "domain": { "domain": "deepgram.com", "registered": "2016-01-28", "source": "https://rdap.verisign.com/com/v1/domain/deepgram.com", "checkedAt": "2026-11-01T14:09:32.822991287Z" }, "pages": [ { "url": "https://developers.deepgram.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-11-04T08:18:44.739347612Z", "changedAt": "2026-10-31T06:07:51.572575306Z", "fingerprint": "bcefb94d5a6f" }, { "url": "https://deepgram.com/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-11-04T08:17:43.148089752Z", "changedAt": "2026-10-29T05:01:12.396434717Z", "fingerprint": "a4881952b802" }, { "url": "https://deepgram.com/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-11-04T08:17:45.322846881Z", "changedAt": "2026-10-29T05:01:14.55745531Z", "fingerprint": "cda702a47eb0" }, { "url": "https://deepgram.com/terms", "kind": "terms", "status": 304, "checkedAt": "2026-11-04T08:17:47.382726947Z", "changedAt": "2026-10-29T05:01:16.866251165Z", "fingerprint": "8f02c7c6eb9d" } ], "github": { "repo": "deepgram/deepgram-python-sdk", "checkedAt": "2026-11-02T08:43:22.258450881Z", "stars": 476, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-30T19:47:20Z", "openIssues": 14, "openPRs": 8, "issuesOpened90d": 24, "issuesClosed90d": 30, "prsMerged90d": 38, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-10-30T17:09:16Z" }, "replies": { "sampled": 25, "unanswered": 12, "medianDays": 4.6 } }, "updatedAt": "2026-11-04T21:39:20.444062156Z" } }, "answer": "Deepgram Speech-to-Text (Nova-3, Flux) scores 74.4 (BB) on agent readiness against Giggy Speech to Text's 54.5 (C), and leads in every scored category.", "b": { "slug": "giggy-stt", "name": "Giggy Speech to Text", "vendor": "Giggy", "vendorUrl": "https://giggy.ai", "kind": "model", "category": "speech-to-text", "summary": "Giggy's hosted speech-to-text API transcribes 16 kHz mono WAV recordings in free Batch, prepaid Fast and Streaming modes, and live audio over a WebSocket, with Python and Node SDKs and a remote MCP server.", "url": "https://www.anchorterminal.com/tools/giggy-stt", "markdownUrl": "https://www.anchorterminal.com/tools/giggy-stt.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/giggy-stt.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/giggy-stt.json", "dns": "giggy-stt.grade.anchorterminal.com", "repo": "https://github.com/giggy-ai/giggy-js", "license": "Proprietary hosted service. The terms page draws its text by script and was not read. The Python and Node SDKs, the Pipecat adapter and the MCP repository are ISC (Copyright 2026 Giggy), the n8n node MIT", "transports": [ "http", "sse", "websocket", "streamable-http" ], "remoteUrl": "https://api.giggy.ai/v1", "packages": [ { "registry": "pypi", "name": "giggy" }, { "registry": "npm", "name": "@giggy-ai/sdk" }, { "registry": "pypi", "name": "pipecat-giggy" } ], "auth": "api-key", "authNotes": "Self-serve API key prefixed `giggy_sk_`, shown once when created or rotated, rejected immediately after revocation, up to ten active per Personal space or Workspace and tied for good to the space that created it. REST sends it in `xi-api-key`; the WebSocket upgrade and the MCP server take `Authorization: Bearer`. No key scopes or expiry were found, and no query-string option is documented (https://giggy.ai/docs/api-reference).", "pricing": "freemium", "pricingNotes": "Batch transcription is free, queued, for recordings of 0.5 seconds to 25 minutes. Fast costs 4,000 credits ($0.04) and Streaming 8,000 credits ($0.08) per input audio hour on Pro, Studio or Scale credits, rounded up to one credit per request. Credits come in one-time packs from $3 and expire a year after purchase. Personal accounts get free credits topped up to 10,000 a month. Whether a card is needed was not stated on any page read (https://giggy.ai/pricing).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the pricing page, the speech API docs, the API reference, llms.txt or llms-full.txt read on 2026-11-04. Credits are bought in prepaid packs; the payment method is not named on any page read.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-04" }, "docsUrl": "https://giggy.ai/docs/speech-api", "llmsTxt": "https://giggy.ai/llms.txt", "openapi": "https://api.giggy.ai/v1/openapi.json", "registryName": "io.github.GRQDigitalCapital/giggy-mcp", "capabilities": [ "speech.stt", "speech.batch", "speech.streaming", "speech.languages" ], "tags": [ "official", "hosted", "model", "closed-source", "streaming", "batch", "async-jobs", "free-tier", "python", "typescript", "openapi", "llms-txt", "mcp", "websocket", "new" ], "lastRelease": "2026-11-01", "graded": true, "anchor": { "graded": true, "score": 54.5, "grade": "C", "agentReady": false, "rank": 806, "ranked": true, "rankOf": 1349, "categoryRank": 15, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 69, "payments": 30, "reliability": 50, "schema": 68, "security": 57, "transparency": 30 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-11-04" }, "negative": 0, "verdict": "Fast transcription costs $0.04 an input audio hour and Batch is free up to 25 minutes, with published rate limits, Retry-After and a rule to check a generation before resubmitting. Input must be 16 kHz mono WAV, there are no timestamps or speaker labels, the status page covers text-to-speech only, and no company is named on pages we could read.", "bestFor": "Agents and voice pipelines that need plain transcripts of recorded or live speech at a few cents an hour, or free for clips under 25 minutes, and can convert audio to 16 kHz mono WAV first.", "strengths": [ "Fast is $0.04 and Streaming $0.08 per input audio hour on Pro credits, and Batch is free for recordings of 0.5 seconds to 25 minutes", "Per-credential rate limits are published with numbers, 429 carries `Retry-After`, and `RateLimit-*` headers report what is left", "The docs say to read a generation by UUID after a timeout or 504 instead of uploading again, and the SDKs never retry paid requests", "llms.txt, llms-full.txt and SDK READMEs state what the API does not do, including no diarisation, timestamps or OpenAI-compatible STT", "Official Python and Node SDKs at 0.2.1, a Pipecat adapter with live STT and a remote MCP server, all released within the last four weeks" ], "weaknesses": [ "Recorded input must be PCM16 mono 16 kHz WAV, so MP3, M4A, stereo or other sample rates need converting before upload", "No word timestamps, speaker labels, confidence scores or redaction, per the speech API docs", "The status page has one component, Text to speech, and no incident history, so speech-to-text availability isn't shown", "REST transcription has no idempotency key, and `client_request_id` is documented as not making a retried upload safe", "The terms, privacy policy, support and contact pages draw by script, and no company, address or security contact was found on any page read" ], "agentNotes": [ "Pass `mode=batch` explicitly for free transcription. Raw REST and MCP default to paid Fast when `mode` is omitted.", "Convert audio to PCM16 mono 16 kHz WAV first and send it as the raw body with `Content-Type: audio/wav`.", "Keep the `generation_uuid` from the 202 and poll `GET /v1/generations/{uuid}`. Never re-upload after a timeout or 504 before reading that generation.", "Fetch the transcript from the signed `generation.result.url` after completion, without the API key. It can disappear after retention cleanup.", "On the live WebSocket, replace earlier text with each cumulative `transcription` event and publish final text only after `input_complete`." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 54.5 } ], "editorialScores": { "ergonomics": 68, "maintenance": 69, "payments": 30, "reliability": 50, "schema": 68, "security": 57, "transparency": 23 }, "provenanceScore": 36, "checked": { "categories": { "ergonomics": "2026-11-04", "maintenance": "2026-11-04", "payments": "2026-11-04", "reliability": "2026-11-04", "schema": "2026-11-04", "security": "2026-11-04", "transparency": "2026-11-04" }, "last": "2026-11-04", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "python -m pip install giggy==0.2.1 # or: npm install @giggy-ai/sdk", "http": "curl -X POST \"https://api.giggy.ai/v1/audio/transcriptions?mode=batch\u0026language=en\" \\\n -H \"xi-api-key: $GIGGY_API_KEY\" -H \"Content-Type: audio/wav\" \\\n --data-binary @recording.wav", "config": { "mcpServers": { "giggy-speech": { "headers": { "Authorization": "Bearer ${GIGGY_API_KEY}" }, "type": "http", "url": "https://giggy.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/giggy-stt" }, "area": "voice", "unitPrices": [ { "item": "Fast, Pro, Studio or Scale credits", "unit": "audio-minute", "usd": 0.000667, "note": "published as $0.04 per input audio hour, rounded up to one credit per request" }, { "item": "Streaming, Pro, Studio or Scale credits", "unit": "audio-minute", "usd": 0.001333, "note": "published as $0.08 per input audio hour" }, { "item": "Fast, Starter pack", "unit": "audio-minute", "usd": 0.000765, "note": "$3 for 261,300 credits, $0.0459 an hour" }, { "item": "Streaming, Starter pack", "unit": "audio-minute", "usd": 0.00153, "note": "$0.0918 an hour" }, { "item": "Batch", "unit": "audio-minute", "usd": 0, "note": "free, queued, 0.5 seconds to 25 minutes a recording" } ], "provenance": { "legalEntity": "", "domain": "giggy.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://giggy.ai/terms", "privacy": "https://giggy.ai/privacy", "statusPage": "https://giggy.ai/status", "changelog": "", "securityTxt": "none", "checked": "2026-11-04", "notes": [ "unchecked: the legal entity. /terms, /privacy, /acceptable-use, /contact, /docs/support and /docs/privacy-rights returned only their titles and metadata, because their text is drawn by script, and /terms.md answered a client error. The about, pricing, grants and docs pages that did render name only Giggy, with 'Made in California' on the about page. The repositories' licences say 'Copyright 2026 Giggy'.", "The status page tracks one component, Text to speech, with 14-day availability and completion figures refreshed every 30 minutes and no incident history. It has no speech-to-text component.", "No service changelog was found. The SDK and Pipecat repositories carry CHANGELOG.md files, dated in the Python SDK and the Pipecat adapter.", "https://giggy.ai/.well-known/security.txt answered a client error. None of the six public repositories has a SECURITY.md.", "robots.txt on giggy.ai allows / and disallows /api/, /ops/, /app/ and /blog/*.md for `*` and for the named AI agents, with no Content-Signal line. api.giggy.ai's robots.txt could not be read (the fetch needed an approval that wasn't given), so nothing on that host was fetched, the OpenAPI file included.", "unchecked: RDAP for giggy.ai (refused for want of an approval on 4 November 2026)." ], "score": 36 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/giggy-stt.json", "live": { "slug": "giggy-stt", "probe": { "target": "https://api.giggy.ai/v1", "method": "get", "lastAt": "2026-11-04T21:39:24.734230033Z", "lastOk": true, "lastStatus": 404, "lastMs": 398, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 286, "p95ms24h": 654, "samples24h": 64, "samples30d": 64, "days": [ { "date": "2026-11-04", "probes": 64, "ok": 64 } ] }, "vendorStatus": { "page": "https://giggy.ai/status", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-04T21:25:54.463598549Z" }, "versions": [ { "registry": "github", "name": "giggy-ai/giggy-js", "version": "v0.1.0", "released": "2026-10-07", "seenAt": "2026-11-04T20:18:19.850001725Z" }, { "registry": "mcp-registry", "name": "io.github.GRQDigitalCapital/giggy-mcp", "version": "1.0.2", "seenAt": "2026-11-04T17:11:44.552009456Z" }, { "registry": "npm", "name": "@giggy-ai/sdk", "version": "0.2.1", "seenAt": "2026-11-04T20:18:17.973963585Z" }, { "registry": "pypi", "name": "giggy", "version": "0.2.1", "released": "2026-11-01", "seenAt": "2026-11-04T20:18:17.733675794Z" }, { "registry": "pypi", "name": "pipecat-giggy", "version": "0.3.3", "released": "2026-11-01", "seenAt": "2026-11-04T20:18:18.946085778Z" } ], "githubStars": 0, "npmWeekly": 209, "pypiWeekly": 32, "securityTxt": { "url": "https://giggy.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-04T15:54:29.107165985Z" }, "updatedAt": "2026-11-04T21:39:24.734230033Z" } }, "edges": [ { "by": 48, "category": "transparency", "leads": "deepgram-stt", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed service with clear terms (15). The privacy policy was last updated on 26 October 2021, says data is stored on US servers and doesn't mention the Model Improvement Program, while the docs describe training by default and EU, Australian and Indian endpoints, so the statements disagree (15). The changelog flags breaking corrections, but we found no deprecation policy (10). Sub-processor list at deepgram.com/privacy/subprocessors and four regional endpoints (20). Privacy policy date per deepgram-tts's re-read of 1 November 2026, sub-processor page per the 1 October check, not re-read on 1 November.", "b": "Closed hosted service. The terms exist at /terms but draw by script and could not be read, so their clarity is unknown; the SDK, Pipecat and MCP repositories are ISC and the n8n node MIT (5 of 30). What could be read agrees with itself, no training on user data, an optional 12-hour retention flag, a seven-day window for Batch audio, and the EEA compute flag. The privacy policy, any DPA and a retention period for transcripts were not found or not readable (12 of 30). No deprecation policy or dated notices, only a statement that the legacy origin remains supported (3 of 20). No subprocessors or data locations are named; the EEA-adequate compute option implies processing outside the EEA by default without saying where (3 of 20). 5+12+3+3 = 23." }, "scores": { "a": 78, "b": 30 } }, { "by": 30, "category": "reliability", "leads": "deepgram-stt", "name": "Reliability", "reasons": { "a": "Statuspage at status.deepgram.com with component history and an RSS feed (20). Nine incidents in the 90 days from 3 August touch speech-to-text, every one partial, read as this run reads partial incidents (one model, one region, one datacenter or some requests) and as deepgram-tts is read. Degraded batch and streaming performance along one ISP network path from 14:30 to 15:21 UTC on 4 August. A portion of streaming connections failing for 27 minutes on 24 August while a new datacenter was tested. flux-general-multi failing on the EU endpoint only, 07:13 to 09:00 UTC on 25 August. Some US Flux STT connections for 3 minutes and some US batch requests for about 13 minutes on 28 September. Two 1 to 2 minute bursts on 30 September. Some batch requests slow or timing out, 19:27 to 21:53 UTC on 22 October. 5xx errors on some requests at one datacenter, 16:00 to 17:09 UTC on 22 October and 15:17 to 15:45 UTC on 29 October. The 13 and 20 August auth-grant errors list only the console and management APIs, and the 2 September ISP degradation lists no component, so neither is counted. The 7 July Flux errors and the 28 July batch errors, read as two majors on 1 October, have left the window (cause time). Minor only (20). Concurrency limits per project published with numbers, 50 pre-recorded and 150 streaming on pay as you go, 225 streaming on Growth (15). Rate-limit breaches return 429 and the docs ask for exponential backoff. Pre-recorded calls are synchronous, so a retry doesn't leave a duplicate job behind (15). No SLA found for self-serve plans (0). Nova-3 and Flux are GA (10). 20 + 20 + 15 + 15 + 0 + 10 = 80.", "b": "Hosted reading, as for deepgram-stt and cartesia-ink-stt. Giggy's own status page at https://giggy.ai/status lists one component, Text to speech, operational on 4 November 2026 with 98.61 per cent observed availability and 99.85 per cent completion over 14 days, refreshed every 30 minutes. It has no speech-to-text component and no incident log, so it shows nothing about this surface (5 of 20). No readable incident history, so the floor (5). Rate limits are published per credential, 60 Batch generation POSTs, 120 event-stream GETs, 600 reads and 120 MCP requests a minute, with eight live contexts per controller; Fast and Streaming POSTs have no per-credential limit and Batch queue capacity isn't given (15). 429 carries `Retry-After` with `RateLimit-*` headers, and the docs give a safe-retry rule for uploads, read the generation by UUID after a timeout or 504 and never upload the same recording again. REST transcription has no idempotency key, but the MCP `transcribe_audio` tool takes one (15). No SLA on the pricing page or in the docs; the terms could not be read (0). No beta or preview label on the API, the SDKs or the MCP server (10). 5+5+15+15+0+10 = 50." }, "scores": { "a": 80, "b": 50 } }, { "by": 27, "category": "schema", "leads": "deepgram-stt", "name": "Schema \u0026 documentation", "reasons": { "a": "OpenAPI file at developers.deepgram.com/openapi.json and an AsyncAPI file for the sockets (25). llms.txt (10). Reference pages state what each option does, and the docs say to use Flux for live agents and Nova-3 for files, though few options say when not to use them (15). Query parameters are typed with enums for `model`, `language` and `encoding` (15). Examples on every endpoint and a documented error format (15). Versioned `/v1` and `/v2` paths and a dated changelog (15).", "b": "Model reading, with the API reference. The docs and llms.txt link an OpenAPI 3.1 file at https://api.giggy.ai/v1/openapi.json, but api.giggy.ai's robots.txt could not be read, so the file wasn't fetched. We credit only what the reference pages show of it, typed `mode` values, the privacy booleans and a typed error body, and there is no AsyncAPI file for the live socket (12 of 25). llms.txt and llms-full.txt (10). The docs say when to use each mode and transport, that MCP is not a live transport, that an OpenAI base-URL swap does not work for STT, and which options have no equivalent, more than most listings say about when not to use something (17 of 20). `mode` is an enum of three values and the input format is fixed, but `language` is a free code or name with no published list, and the MCP input schemas were read only from the repository's docs, not from the server (11 of 15). Examples in the SDK READMEs, the examples repository and a Postman collection, and an error table of ten statuses with `type`, `code`, `message`, `status`, `request_id` and `param` fields, though only one code value is named (11 of 15). Paths are under `/v1` and the SDK and Pipecat repositories keep CHANGELOG.md files, dated in two of them, but there is no service changelog (7 of 15). 12+10+17+11+11+7 = 68." }, "scores": { "a": 95, "b": 68 } }, { "by": 15, "category": "security", "leads": "deepgram-stt", "name": "Security \u0026 auth", "reasons": { "a": "Model reading of the checklist, with training and retention in place of least-privilege and injection lines. Keys belong to a project, carry a role and can expire on a date or after a set duration. Browser JWTs live 30 seconds and travel in a header (30). Requests may be kept for model training under the Model Improvement Program unless each request sets `mip_opt_out=true`, which any account can do (10). Opted-out requests are kept only for processing, so zero retention is self-serve but not the default (10). Per-request logs and usage data in the console and API, no audit log of key actions found (10). SOC 2 Type 1 and Type 2 (certificates on request) and HIPAA with a BAA on the compliance page. deepgram.com now serves a valid security.txt (Contact security@deepgram.com, Expires 30 September 2027), not found on 30 September. No disclosure policy, bug bounty or public advisories found. The 1 October check gave this line 5 where deepgram-tts and deepgram-voice-agent gave 10 and 12 on the same compliance page, so it's read as deepgram-tts was on 1 November (12 of 20). 30 + 10 + 10 + 10 + 12 = 72.", "b": "Model reading of the checklist, with training and retention in place of the least-privilege and injection lines, as for deepgram-stt and cartesia-ink-stt. Keys prefixed `giggy_sk_` are shown once on creation or rotation, rejected immediately after revocation, limited to ten per space and tied to the space that made them, with REST budgets that Workspace members can set. No scopes or expiry were found. The key travels in a header only, with no query-string option documented (22 of 30). The workspace privacy guide states 'Giggy does not use user data to train models'. The privacy policy and terms draw by script and could not be read to confirm it (18 of 20). Requests can opt into 12-hour content retention and EEA-adequate compute, and a guide gives Batch audio a seven-day window, but no retention period for transcripts was found and results can vanish after an unstated 'retention cleanup' (9 of 15). Generation history per space and a request ID on errors; no audit log of key or admin actions was found (8 of 15). /.well-known/security.txt answered a client error, none of the six repositories has a SECURITY.md, and no disclosure policy, bug bounty or certification was found on the pages that rendered; the support page that may name a reporting route drew by script (0 of 20). 22+18+9+8+0 = 57." }, "scores": { "a": 72, "b": 57 } }, { "by": 10, "category": "payments", "leads": "deepgram-stt", "name": "Payments \u0026 pricing", "reasons": { "a": "No x402, MPP or L402 (0). Per-minute prices for every model and add-on published without a login (20). $200 credit with no card (20). A person signs up in a browser to get the first key (0).", "b": "No x402, MPP or L402 (0). Per-hour prices for Batch, Fast and Streaming and every credit pack published without a login (20). Free Batch transcription and Personal free credits topped up to 10,000 a month, but no page read says whether a card is needed, so half, as other listings read an unstated card requirement (10 of 20). A person signs up in a browser and creates the key there; no programmatic key route was found (0). 0+20+10+0 = 30." }, "scores": { "a": 40, "b": 30 } }, { "by": 7, "category": "ergonomics", "leads": "deepgram-stt", "name": "Agent ergonomics", "reasons": { "a": "API reading of the checklist. Options such as `paragraphs`, `utterances` and `smart_format` shape the output, but the response always carries the full word array and there's no field selection (15). The request history endpoint pages and filters by date and status (20). Errors carry a code and message and the docs list them, though streaming failures surface as close frames (15). No idempotency key, and a retried pre-recorded call is billed again (10). Only the audio is required. Official SDKs in six languages, including Python, JavaScript, Go, .NET and Java (15).", "b": "API reading, as for the other speech-to-text listings. The transcript is compact, text, detected languages, audio duration and model metadata, with no word array to trim; on an MCP reading five tools would score 25 (20 of 25). Nothing to page through and no output options, no timestamps, subtitles or speaker labels, and recorded input must be PCM16 mono 16 kHz WAV, so the caller converts everything else; a 12-hour recording goes up in one request (10 of 20). Errors are structured with a type, code, message, status, request ID and parameter, and the reference says what each status means and what to do after a 504, but no list of code values was found and the SDK error classes expose only the status and the raw body (13 of 20). Upload retries are left to the caller with clear rules, read the generation first and never re-upload after a timeout; REST has no idempotency key and `client_request_id` is documented as no guarantee, while MCP `transcribe_audio` takes an `idempotency_key`. The SDKs never retry, and closing an unfinished live socket cancels it (13 of 20). Only the audio is required, with official Python and Node SDKs, but raw REST and MCP default to paid Fast while the SDKs default to free Batch (12 of 15). 20+10+13+13+12 = 68." }, "scores": { "a": 75, "b": 68 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Deepgram", "b": "Giggy", "name": "Vendor" }, { "a": "https://api.deepgram.com/v1", "b": "https://api.giggy.ai/v1", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP, stdio, SSE (legacy)", "b": "HTTP, SSE (legacy), websocket, Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT (SDKs)", "b": "Proprietary hosted service. The terms page draws its text by script and was not read. The Python and Node SDKs, the Pipecat adapter and the MCP repository are ISC (Copyright 2026 Giggy), the n8n node MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.github.GRQDigitalCapital/giggy-mcp", "name": "MCP registry" }, { "a": "2026-10-28", "b": "2026-11-01", "name": "Last release" }, { "a": "2026-08-06", "b": "not read yet", "name": "Terms last updated" }, { "a": "2021-10-26", "b": "not read yet", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "not read yet", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not read yet", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not read yet", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not read yet", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not read yet", "name": "Arbitration or class-action waiver" }, { "a": "468 stars, 1.1M npm/wk, 805k PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Deepgram Speech-to-Text (Nova-3, Flux) scores 74.4 (BB) on agent readiness against Giggy Speech to Text's 54.5 (C), and leads in every scored category.", "question": "Which is better for AI agents, Deepgram Speech-to-Text (Nova-3, Flux) or Giggy Speech to Text?" }, { "answer": "Both need an API key.", "question": "Do Deepgram Speech-to-Text (Nova-3, Flux) and Giggy Speech to Text need an API key?" }, { "answer": "Yes. Deepgram Speech-to-Text (Nova-3, Flux) has a hosted endpoint at https://api.deepgram.com/v1 and Giggy Speech to Text at https://api.giggy.ai/v1.", "question": "Can an agent call Deepgram Speech-to-Text (Nova-3, Flux) and Giggy Speech to Text without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 80 against 50", "Schema \u0026 documentation, 95 against 68", "Agent ergonomics, 75 against 68", "Security \u0026 auth, 72 against 57", "Payments \u0026 pricing, 40 against 30", "Transparency \u0026 trust, 78 against 30" ], "also": [ "Agent-ready, a grade of BB or better", "Runs on your own machine", "Free to start without a card" ], "goodFor": "Live voice agents that want turn detection in the STT model, and for cheap English batch.", "slug": "deepgram-stt", "watchFor": "Training on audio is the default and the opt-out is a per-request flag" }, { "aheadOn": null, "also": null, "goodFor": "Agents and voice pipelines that need plain transcripts of recorded or live speech at a few cents an hour, or free for clips under 25 minutes, and can convert audio to 16 kHz mono WAV first.", "slug": "giggy-stt", "watchFor": "Recorded input must be PCM16 mono 16 kHz WAV, so MP3, M4A, stereo or other sample rates need converting before upload" } ], "history": { "deepgram-stt": [ { "causes": [ "security", "correction", "time" ], "date": "2026-11-01", "delta": 4, "from": 70.4, "fromGrade": "BB", "to": 74.4, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 70.3, "fromGrade": "BB", "to": 70.4, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.3, "from": 70.6, "fromGrade": "BB", "to": 70.3, "toGrade": "BB" } ], "giggy-stt": null }, "job": { "capability": "speech.stt", "name": "Speech-to-text" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-deepgram-stt.json", "title": "Amazon Transcribe vs Deepgram Speech-to-Text (Nova-3, Flux)", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-deepgram-stt" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-giggy-stt.json", "title": "Amazon Transcribe vs Giggy Speech to Text", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-giggy-stt" }, { "json": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-deepgram-stt.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Deepgram Speech-to-Text (Nova-3, Flux)", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-deepgram-stt" }, { "json": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-giggy-stt.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Giggy Speech to Text", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-giggy-stt" }, { "json": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-deepgram-stt.json", "title": "Azure AI Speech speech-to-text vs Deepgram Speech-to-Text (Nova-3, Flux)", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-deepgram-stt" }, { "json": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-giggy-stt.json", "title": "Azure AI Speech speech-to-text vs Giggy Speech to Text", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-giggy-stt" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt.json", "title": "Cartesia Ink vs Deepgram Speech-to-Text (Nova-3, Flux)", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-giggy-stt.json", "title": "Cartesia Ink vs Giggy Speech to Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-giggy-stt" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-elevenlabs-scribe.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs ElevenLabs Scribe Speech to Text API", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-elevenlabs-scribe" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-gladia-stt.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-gladia-stt" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-google-speech-to-text.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Google Cloud Speech-to-Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-google-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-openai-speech-to-text.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-rev-ai-stt.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-soniox-stt.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-speechmatics-stt.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-giggy-stt.json", "title": "ElevenLabs Scribe Speech to Text API vs Giggy Speech to Text", "url": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-giggy-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-gladia-stt.json", "title": "Giggy Speech to Text vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-gladia-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-google-speech-to-text.json", "title": "Giggy Speech to Text vs Google Cloud Speech-to-Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-google-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-groq-speech-to-text.json", "title": "Giggy Speech to Text vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-mistral-voxtral-transcribe.json", "title": "Giggy Speech to Text vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-openai-speech-to-text.json", "title": "Giggy Speech to Text vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-rev-ai-stt.json", "title": "Giggy Speech to Text vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-soniox-stt.json", "title": "Giggy Speech to Text vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/giggy-stt-vs-speechmatics-stt.json", "title": "Giggy Speech to Text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/giggy-stt-vs-speechmatics-stt" } ], "panel": null, "scores": [ { "by": 30, "deepgram-stt": 80, "edge": "deepgram-stt", "giggy-stt": 50, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 27, "deepgram-stt": 95, "edge": "deepgram-stt", "giggy-stt": 68, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 7, "deepgram-stt": 75, "edge": "deepgram-stt", "giggy-stt": 68, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 15, "deepgram-stt": 72, "edge": "deepgram-stt", "giggy-stt": 57, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 10, "deepgram-stt": 40, "edge": "deepgram-stt", "giggy-stt": 30, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 4, "deepgram-stt": 73, "edge": "deepgram-stt", "giggy-stt": 69, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 48, "deepgram-stt": 78, "edge": "deepgram-stt", "giggy-stt": 30, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Deepgram Speech-to-Text (Nova-3, Flux) scores 74.4 (BB) on agent readiness against Giggy Speech to Text's 54.5 (C), and leads in every scored category. Both do speech-to-text.", "tasks": [ { "a": "$0.26 to $0.55", "b": "$0.04 to $0.09", "cheaper": "giggy-stt", "task": "Transcribe a one-hour meeting", "what": "60 minutes of recorded audio" } ], "tutorials": [], "verdicts": { "deepgram-stt": "Flux streams with model-level end-of-turn detection, so a voice agent needs no separate VAD. Training on audio is the default and the opt-out is a per-request flag.", "giggy-stt": "Fast transcription costs $0.04 an input audio hour and Batch is free up to 25 minutes, with published rate limits, Retry-After and a rule to check a generation before resubmitting. Input must be 16 kHz mono WAV, there are no timestamps or speaker labels, the status page covers text-to-speech only, and no company is named on pages we could read." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/deepgram-stt-vs-giggy-stt", "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-giggy-stt.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/deepgram-stt-vs-giggy-stt.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/deepgram-stt-vs-giggy-stt.min.md" }, "markdown": "Deepgram Speech-to-Text (Nova-3, Flux) scores 74.4 (BB) on agent readiness against Giggy Speech to Text's 54.5 (C), and leads in every scored category. Both do speech-to-text.\n\n- Deepgram Speech-to-Text (Nova-3, Flux): grade BB, 74.4/100, rank #76 of 1349. Markdown https://www.anchorterminal.com/tools/deepgram-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json\n- Giggy Speech to Text: grade C, 54.5/100, rank #806 of 1349. Markdown https://www.anchorterminal.com/tools/giggy-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/giggy-stt.json\n- Best speech-to-text APIs for AI agents: https://www.anchorterminal.com/best/speech-to-text/index.md\n- All 253 stt comparisons: https://www.anchorterminal.com/compare/speech-to-text/index.md\n\n## Which one, for what\n\n### Deepgram Speech-to-Text (Nova-3, Flux) (BB)\n\nGood for: Live voice agents that want turn detection in the STT model, and for cheap English batch.\n\nAhead on:\n- Reliability, 80 against 50\n- Schema \u0026 documentation, 95 against 68\n- Agent ergonomics, 75 against 68\n- Security \u0026 auth, 72 against 57\n- Payments \u0026 pricing, 40 against 30\n- Transparency \u0026 trust, 78 against 30\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Runs on your own machine\n- Free to start without a card\n\nWatch for: Training on audio is the default and the opt-out is a per-request flag\n\n### Giggy Speech to Text (C)\n\nGood for: Agents and voice pipelines that need plain transcripts of recorded or live speech at a few cents an hour, or free for clips under 25 minutes, and can convert audio to 16 kHz mono WAV first.\n\nWatch for: Recorded input must be PCM16 mono 16 kHz WAV, so MP3, M4A, stereo or other sample rates need converting before upload\n\n\n## Why the edge\n\n### Transparency \u0026 trust: Deepgram Speech-to-Text (Nova-3, Flux) +48\n\n- Deepgram Speech-to-Text (Nova-3, Flux) (78): Closed service with clear terms (15). The privacy policy was last updated on 26 October 2021, says data is stored on US servers and doesn't mention the Model Improvement Program, while the docs describe training by default and EU, Australian and Indian endpoints, so the statements disagree (15). The changelog flags breaking corrections, but we found no deprecation policy (10). Sub-processor list at deepgram.com/privacy/subprocessors and four regional endpoints (20). Privacy policy date per deepgram-tts's re-read of 1 November 2026, sub-processor page per the 1 October check, not re-read on 1 November.\n- Giggy Speech to Text (30): Closed hosted service. The terms exist at /terms but draw by script and could not be read, so their clarity is unknown; the SDK, Pipecat and MCP repositories are ISC and the n8n node MIT (5 of 30). What could be read agrees with itself, no training on user data, an optional 12-hour retention flag, a seven-day window for Batch audio, and the EEA compute flag. The privacy policy, any DPA and a retention period for transcripts were not found or not readable (12 of 30). No deprecation policy or dated notices, only a statement that the legacy origin remains supported (3 of 20). No subprocessors or data locations are named; the EEA-adequate compute option implies processing outside the EEA by default without saying where (3 of 20). 5+12+3+3 = 23.\n\n### Reliability: Deepgram Speech-to-Text (Nova-3, Flux) +30\n\n- Deepgram Speech-to-Text (Nova-3, Flux) (80): Statuspage at status.deepgram.com with component history and an RSS feed (20). Nine incidents in the 90 days from 3 August touch speech-to-text, every one partial, read as this run reads partial incidents (one model, one region, one datacenter or some requests) and as deepgram-tts is read. Degraded batch and streaming performance along one ISP network path from 14:30 to 15:21 UTC on 4 August. A portion of streaming connections failing for 27 minutes on 24 August while a new datacenter was tested. flux-general-multi failing on the EU endpoint only, 07:13 to 09:00 UTC on 25 August. Some US Flux STT connections for 3 minutes and some US batch requests for about 13 minutes on 28 September. Two 1 to 2 minute bursts on 30 September. Some batch requests slow or timing out, 19:27 to 21:53 UTC on 22 October. 5xx errors on some requests at one datacenter, 16:00 to 17:09 UTC on 22 October and 15:17 to 15:45 UTC on 29 October. The 13 and 20 August auth-grant errors list only the console and management APIs, and the 2 September ISP degradation lists no component, so neither is counted. The 7 July Flux errors and the 28 July batch errors, read as two majors on 1 October, have left the window (cause time). Minor only (20). Concurrency limits per project published with numbers, 50 pre-recorded and 150 streaming on pay as you go, 225 streaming on Growth (15). Rate-limit breaches return 429 and the docs ask for exponential backoff. Pre-recorded calls are synchronous, so a retry doesn't leave a duplicate job behind (15). No SLA found for self-serve plans (0). Nova-3 and Flux are GA (10). 20 + 20 + 15 + 15 + 0 + 10 = 80.\n- Giggy Speech to Text (50): Hosted reading, as for deepgram-stt and cartesia-ink-stt. Giggy's own status page at https://giggy.ai/status lists one component, Text to speech, operational on 4 November 2026 with 98.61 per cent observed availability and 99.85 per cent completion over 14 days, refreshed every 30 minutes. It has no speech-to-text component and no incident log, so it shows nothing about this surface (5 of 20). No readable incident history, so the floor (5). Rate limits are published per credential, 60 Batch generation POSTs, 120 event-stream GETs, 600 reads and 120 MCP requests a minute, with eight live contexts per controller; Fast and Streaming POSTs have no per-credential limit and Batch queue capacity isn't given (15). 429 carries `Retry-After` with `RateLimit-*` headers, and the docs give a safe-retry rule for uploads, read the generation by UUID after a timeout or 504 and never upload the same recording again. REST transcription has no idempotency key, but the MCP `transcribe_audio` tool takes one (15). No SLA on the pricing page or in the docs; the terms could not be read (0). No beta or preview label on the API, the SDKs or the MCP server (10). 5+5+15+15+0+10 = 50.\n\n### Schema \u0026 documentation: Deepgram Speech-to-Text (Nova-3, Flux) +27\n\n- Deepgram Speech-to-Text (Nova-3, Flux) (95): OpenAPI file at developers.deepgram.com/openapi.json and an AsyncAPI file for the sockets (25). llms.txt (10). Reference pages state what each option does, and the docs say to use Flux for live agents and Nova-3 for files, though few options say when not to use them (15). Query parameters are typed with enums for `model`, `language` and `encoding` (15). Examples on every endpoint and a documented error format (15). Versioned `/v1` and `/v2` paths and a dated changelog (15).\n- Giggy Speech to Text (68): Model reading, with the API reference. The docs and llms.txt link an OpenAPI 3.1 file at https://api.giggy.ai/v1/openapi.json, but api.giggy.ai's robots.txt could not be read, so the file wasn't fetched. We credit only what the reference pages show of it, typed `mode` values, the privacy booleans and a typed error body, and there is no AsyncAPI file for the live socket (12 of 25). llms.txt and llms-full.txt (10). The docs say when to use each mode and transport, that MCP is not a live transport, that an OpenAI base-URL swap does not work for STT, and which options have no equivalent, more than most listings say about when not to use something (17 of 20). `mode` is an enum of three values and the input format is fixed, but `language` is a free code or name with no published list, and the MCP input schemas were read only from the repository's docs, not from the server (11 of 15). Examples in the SDK READMEs, the examples repository and a Postman collection, and an error table of ten statuses with `type`, `code`, `message`, `status`, `request_id` and `param` fields, though only one code value is named (11 of 15). Paths are under `/v1` and the SDK and Pipecat repositories keep CHANGELOG.md files, dated in two of them, but there is no service changelog (7 of 15). 12+10+17+11+11+7 = 68.\n\n### Security \u0026 auth: Deepgram Speech-to-Text (Nova-3, Flux) +15\n\n- Deepgram Speech-to-Text (Nova-3, Flux) (72): Model reading of the checklist, with training and retention in place of least-privilege and injection lines. Keys belong to a project, carry a role and can expire on a date or after a set duration. Browser JWTs live 30 seconds and travel in a header (30). Requests may be kept for model training under the Model Improvement Program unless each request sets `mip_opt_out=true`, which any account can do (10). Opted-out requests are kept only for processing, so zero retention is self-serve but not the default (10). Per-request logs and usage data in the console and API, no audit log of key actions found (10). SOC 2 Type 1 and Type 2 (certificates on request) and HIPAA with a BAA on the compliance page. deepgram.com now serves a valid security.txt (Contact security@deepgram.com, Expires 30 September 2027), not found on 30 September. No disclosure policy, bug bounty or public advisories found. The 1 October check gave this line 5 where deepgram-tts and deepgram-voice-agent gave 10 and 12 on the same compliance page, so it's read as deepgram-tts was on 1 November (12 of 20). 30 + 10 + 10 + 10 + 12 = 72.\n- Giggy Speech to Text (57): Model reading of the checklist, with training and retention in place of the least-privilege and injection lines, as for deepgram-stt and cartesia-ink-stt. Keys prefixed `giggy_sk_` are shown once on creation or rotation, rejected immediately after revocation, limited to ten per space and tied to the space that made them, with REST budgets that Workspace members can set. No scopes or expiry were found. The key travels in a header only, with no query-string option documented (22 of 30). The workspace privacy guide states 'Giggy does not use user data to train models'. The privacy policy and terms draw by script and could not be read to confirm it (18 of 20). Requests can opt into 12-hour content retention and EEA-adequate compute, and a guide gives Batch audio a seven-day window, but no retention period for transcripts was found and results can vanish after an unstated 'retention cleanup' (9 of 15). Generation history per space and a request ID on errors; no audit log of key or admin actions was found (8 of 15). /.well-known/security.txt answered a client error, none of the six repositories has a SECURITY.md, and no disclosure policy, bug bounty or certification was found on the pages that rendered; the support page that may name a reporting route drew by script (0 of 20). 22+18+9+8+0 = 57.\n\n### Payments \u0026 pricing: Deepgram Speech-to-Text (Nova-3, Flux) +10\n\n- Deepgram Speech-to-Text (Nova-3, Flux) (40): No x402, MPP or L402 (0). Per-minute prices for every model and add-on published without a login (20). $200 credit with no card (20). A person signs up in a browser to get the first key (0).\n- Giggy Speech to Text (30): No x402, MPP or L402 (0). Per-hour prices for Batch, Fast and Streaming and every credit pack published without a login (20). Free Batch transcription and Personal free credits topped up to 10,000 a month, but no page read says whether a card is needed, so half, as other listings read an unstated card requirement (10 of 20). A person signs up in a browser and creates the key there; no programmatic key route was found (0). 0+20+10+0 = 30.\n\n### Agent ergonomics: Deepgram Speech-to-Text (Nova-3, Flux) +7\n\n- Deepgram Speech-to-Text (Nova-3, Flux) (75): API reading of the checklist. Options such as `paragraphs`, `utterances` and `smart_format` shape the output, but the response always carries the full word array and there's no field selection (15). The request history endpoint pages and filters by date and status (20). Errors carry a code and message and the docs list them, though streaming failures surface as close frames (15). No idempotency key, and a retried pre-recorded call is billed again (10). Only the audio is required. Official SDKs in six languages, including Python, JavaScript, Go, .NET and Java (15).\n- Giggy Speech to Text (68): API reading, as for the other speech-to-text listings. The transcript is compact, text, detected languages, audio duration and model metadata, with no word array to trim; on an MCP reading five tools would score 25 (20 of 25). Nothing to page through and no output options, no timestamps, subtitles or speaker labels, and recorded input must be PCM16 mono 16 kHz WAV, so the caller converts everything else; a 12-hour recording goes up in one request (10 of 20). Errors are structured with a type, code, message, status, request ID and parameter, and the reference says what each status means and what to do after a 504, but no list of code values was found and the SDK error classes expose only the status and the raw body (13 of 20). Upload retries are left to the caller with clear rules, read the generation first and never re-upload after a timeout; REST has no idempotency key and `client_request_id` is documented as no guarantee, while MCP `transcribe_audio` takes an `idempotency_key`. The SDKs never retry, and closing an unfinished live socket cancels it (13 of 20). Only the audio is required, with official Python and Node SDKs, but raw REST and MCP default to paid Fast while the SDKs default to free Batch (12 of 15). 20+10+13+13+12 = 68.\n\n## Score by category\n\n| Category | Weight | Deepgram Speech-to-Text (Nova-3, Flux) | Giggy Speech to Text | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 50 | Deepgram Speech-to-Text (Nova-3, Flux) +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 95 | 68 | Deepgram Speech-to-Text (Nova-3, Flux) +27 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 68 | Deepgram Speech-to-Text (Nova-3, Flux) +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 72 | 57 | Deepgram Speech-to-Text (Nova-3, Flux) +15 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 30 | Deepgram Speech-to-Text (Nova-3, Flux) +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 73 | 69 | Deepgram Speech-to-Text (Nova-3, Flux) +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 78 | 30 | Deepgram Speech-to-Text (Nova-3, Flux) +48 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **74.4 · BB** | **54.5 · C** | |\n\n## Facts side by side\n\n| Fact | Deepgram Speech-to-Text (Nova-3, Flux) | Giggy Speech to Text |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Deepgram | Giggy |\n| Hosted endpoint | `https://api.deepgram.com/v1` | `https://api.giggy.ai/v1` |\n| Transports | HTTP, Streamable HTTP, stdio, SSE (legacy) | HTTP, SSE (legacy), websocket, Streamable HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | MIT (SDKs) | Proprietary hosted service. The terms page draws its text by script and was not read. The Python and Node SDKs, the Pipecat adapter and the MCP repository are ISC (Copyright 2026 Giggy), the n8n node MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.GRQDigitalCapital/giggy-mcp` |\n| Last release | 2026-10-28 | 2026-11-01 |\n| Terms last updated | 2026-08-06 | not read yet |\n| Privacy policy last updated | 2021-10-26 | not read yet |\n| Customer content may train models | yes, with an opt-out | not read yet |\n| Terms restrict automated access | not found in the text | not read yet |\n| Terms restrict benchmarking | yes | not read yet |\n| Terms or service can change without notice | yes | not read yet |\n| Arbitration or class-action waiver | yes | not read yet |\n| Popularity | 468 stars, 1.1M npm/wk, 805k PyPI/wk | none |\n| Agent reviews | 3.5/5 (2) | none |\n\n## What the same task costs\n\n| Task | Deepgram Speech-to-Text (Nova-3, Flux) | Giggy Speech to Text |\n| --- | --- | --- |\n| Transcribe a one-hour meeting | $0.26 to $0.55 | $0.04 to $0.09 |\n\n## How the scores have moved\n\n### Deepgram Speech-to-Text (Nova-3, Flux)\n\n- +4.0 on 1 November 2026: security, correction, time\n- +0.1 on 27 October 2026: checklist\n- -0.3 on 8 October 2026: checklist\n\n### Giggy Speech to Text\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Deepgram Speech-to-Text (Nova-3, Flux).** Flux streams with model-level end-of-turn detection, so a voice agent needs no separate VAD. Training on audio is the default and the opt-out is a per-request flag.\n\n**Giggy Speech to Text.** Fast transcription costs $0.04 an input audio hour and Batch is free up to 25 minutes, with published rate limits, Retry-After and a rule to check a generation before resubmitting. Input must be 16 kHz mono WAV, there are no timestamps or speaker labels, the status page covers text-to-speech only, and no company is named on pages we could read.\n\n## Before you call either\n\n### Deepgram Speech-to-Text (Nova-3, Flux)\n\n1. Add `mip_opt_out=true` to every request that carries customer audio\n2. Use Flux (`flux-general-en`) on `/v2/listen` for live agents and Nova-3 for files\n3. Back off exponentially on 429. The concurrency limit is per project\n4. Pass `callback` for long files and verify callbacks with Basic Auth in the URL or an `extra` secret, not `dg-token`\n5. Pin `version` on `language=multi` if a change of model would break your tests\n\n### Giggy Speech to Text\n\n1. Pass `mode=batch` explicitly for free transcription. Raw REST and MCP default to paid Fast when `mode` is omitted.\n2. Convert audio to PCM16 mono 16 kHz WAV first and send it as the raw body with `Content-Type: audio/wav`.\n3. Keep the `generation_uuid` from the 202 and poll `GET /v1/generations/{uuid}`. Never re-upload after a timeout or 504 before reading that generation.\n4. Fetch the transcript from the signed `generation.result.url` after completion, without the API key. It can disappear after retention cleanup.\n5. On the live WebSocket, replace earlier text with each cumulative `transcription` event and publish final text only after `input_complete`.\n\n## Questions\n\n### Which is better for AI agents, Deepgram Speech-to-Text (Nova-3, Flux) or Giggy Speech to Text?\n\nDeepgram Speech-to-Text (Nova-3, Flux) scores 74.4 (BB) on agent readiness against Giggy Speech to Text's 54.5 (C), and leads in every scored category.\n\n### Do Deepgram Speech-to-Text (Nova-3, Flux) and Giggy Speech to Text need an API key?\n\nBoth need an API key.\n\n### Can an agent call Deepgram Speech-to-Text (Nova-3, Flux) and Giggy Speech to Text without installing anything?\n\nYes. Deepgram Speech-to-Text (Nova-3, Flux) has a hosted endpoint at https://api.deepgram.com/v1 and Giggy Speech to Text at https://api.giggy.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepgram-stt-vs-giggy-stt.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepgram-stt-vs-giggy-stt.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepgram-stt\", \"b\": \"giggy-stt\"}`. From a terminal: `anchor compare deepgram-stt giggy-stt`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json and https://www.anchorterminal.com/api/v1/tools/giggy-stt.json\n\n## Other comparisons with Deepgram Speech-to-Text (Nova-3, Flux) or Giggy Speech to Text\n\n- [Amazon Transcribe vs Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/amazon-transcribe-vs-deepgram-stt.md)\n- [Amazon Transcribe vs Giggy Speech to Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-giggy-stt.md)\n- [AssemblyAI Speech-to-Text (Universal) vs Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/assemblyai-stt-vs-deepgram-stt.md)\n- [AssemblyAI Speech-to-Text (Universal) vs Giggy Speech to Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-giggy-stt.md)\n- [Azure AI Speech speech-to-text vs Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-deepgram-stt.md)\n- [Azure AI Speech speech-to-text vs Giggy Speech to Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-giggy-stt.md)\n- [Cartesia Ink vs Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt.md)\n- [Cartesia Ink vs Giggy Speech to Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-giggy-stt.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs ElevenLabs Scribe Speech to Text API](https://www.anchorterminal.com/compare/deepgram-stt-vs-elevenlabs-scribe.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/deepgram-stt-vs-gladia-stt.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Google Cloud Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-google-speech-to-text.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-openai-speech-to-text.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/deepgram-stt-vs-rev-ai-stt.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-soniox-stt.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-speechmatics-stt.md)\n- [ElevenLabs Scribe Speech to Text API vs Giggy Speech to Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-giggy-stt.md)\n- [Giggy Speech to Text vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/giggy-stt-vs-gladia-stt.md)\n- [Giggy Speech to Text vs Google Cloud Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-google-speech-to-text.md)\n- [Giggy Speech to Text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-groq-speech-to-text.md)\n- [Giggy Speech to Text vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/giggy-stt-vs-mistral-voxtral-transcribe.md)\n- [Giggy Speech to Text vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/giggy-stt-vs-openai-speech-to-text.md)\n- [Giggy Speech to Text vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/giggy-stt-vs-rev-ai-stt.md)\n- [Giggy Speech to Text vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-soniox-stt.md)\n- [Giggy Speech to Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-speechmatics-stt.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-04", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Deepgram Speech-to-Text (Nova-3, Flux) vs Giggy Speech to Text", "url": "" } ], "description": "Deepgram Speech-to-Text scores 74.4 (BB) to Giggy Speech to Text's 54.5 (C) for speech-to-text. 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