{ "data": { "a": { "slug": "elevenlabs-scribe", "name": "ElevenLabs Scribe Speech to Text API", "vendor": "ElevenLabs", "vendorUrl": "https://elevenlabs.io", "kind": "model", "category": "speech-to-text", "summary": "ElevenLabs' speech-to-text service for audio transcription.", "url": "https://www.anchorterminal.com/tools/elevenlabs-scribe", "markdownUrl": "https://www.anchorterminal.com/tools/elevenlabs-scribe.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/elevenlabs-scribe.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/elevenlabs-scribe.json", "dns": "elevenlabs-scribe.grade.anchorterminal.com", "repo": "https://github.com/elevenlabs/elevenlabs-python", "license": "MIT (SDKs)", "transports": [ "http", "stdio" ], "remoteUrl": "https://api.elevenlabs.io/v1", "packages": [ { "registry": "npm", "name": "@elevenlabs/elevenlabs-js" }, { "registry": "pypi", "name": "elevenlabs" }, { "registry": "pypi", "name": "elevenlabs-mcp" } ], "auth": "api-key", "authNotes": "`xi-api-key` header on `POST /v1/speech-to-text` and the realtime WebSocket. The hosted MCP server doesn't expose transcription. Only the deprecated local `elevenlabs-mcp` server has a `speech_to_text` tool.", "pricing": "freemium", "pricingNotes": "Scribe v2 and Scribe v2 Medical cost $0.22 an hour of audio, Scribe v2 Realtime $0.39 an hour. Keyterm prompting adds $0.05 an hour on batch and $0.08 on realtime, and transcript editing $0.07 and $0.12. Silence counts. Since 26 October 2026 a request priced below one credit is charged one credit. Free includes 4 hours 30 minutes of batch audio a month, Starter $6 ($1 the first month) 27 hours, Creator $22 ($11 the first month) 100 hours, Pro $99 450 hours, Scale $299 1,359 hours and Business $990 4,500 hours (https://elevenlabs.io/pricing/api).", "priceSummary": "Freemium", "where": "both", "x402": { "level": "no", "evidence": "No x402 or machine payment in the docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 3122, "npmWeekly": 1063065, "pypiWeekly": 2223099, "asOf": "2026-09-30" }, "docsUrl": "https://elevenlabs.io/docs/overview/capabilities/speech-to-text", "llmsTxt": "https://elevenlabs.io/docs/llms.txt", "openapi": "https://api.elevenlabs.io/openapi.json", "capabilities": [ "speech.stt", "speech.streaming", "speech.batch", "speech.diarisation", "speech.languages" ], "tags": [ "hosted", "freemium", "free-tier", "closed-source", "python", "typescript", "openapi", "llms-txt", "streaming", "batch", "webhooks", "async-jobs", "enterprise" ], "lastRelease": "2026-10-27", "graded": true, "anchor": { "graded": true, "score": 73, "grade": "BB", "agentReady": true, "rank": 101, "ranked": true, "rankOf": 1349, "categoryRank": 5, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 77, "payments": 40, "reliability": 80, "schema": 95, "security": 65, "transparency": 71 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": 0, "verdict": "Scribe v2 transcribes 90+ languages at $0.22 an hour of batch audio, with diarisation up to 32 speakers and keys that can be scoped by endpoint, capped and set to expire. Audio may be used for training unless the account opts out, the opt-out isn't retroactive, and zero retention needs Enterprise.", "bestFor": "Batch transcription where diarisation, entity detection and keyterms matter, and for teams already on ElevenLabs for speech.", "strengths": [ "$0.22 an hour for batch with 90+ languages and diarisation to 32 speakers", "Keys restricted by endpoint, capped by credits, limited by IP and set to expire", "429 codes named in the error reference with exponential backoff guidance", "A Request Log on the Developers page lists every API request, with CSV export", "OpenAPI file and an llms.txt with Markdown pages" ], "weaknesses": [ "Audio may be used for training unless the account opts out, and the opt-out isn't retroactive", "Speech-to-text data is retained by default, and zero retention needs Enterprise", "`scribe_v1` is deprecated with no retirement date", "No self-serve SLA found" ], "agentNotes": [ "Create a key restricted to speech-to-text with a credit quota and an expiry", "Use `source_url` for hosted files instead of downloading and re-uploading", "Set `webhook=true` for long files and turn on webhook retries so results aren't lost", "Back off exponentially on any of the three 429 codes", "Opt out under Data use before sending customer audio. It only covers later uploads" ], "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": 73 } ], "editorialScores": { "ergonomics": 75, "maintenance": 77, "payments": 40, "reliability": 80, "schema": 95, "security": 65, "transparency": 50 }, "provenanceScore": 91, "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.elevenlabs.io/v1/speech-to-text -H \"xi-api-key: $ELEVENLABS_API_KEY\" \\\n -F model_id=scribe_v2 -F diarize=true -F file=@call.mp3", "config": { "mcpServers": { "elevenlabs": { "args": [ "elevenlabs-mcp" ], "command": "uvx", "env": { "ELEVENLABS_API_KEY": "${ELEVENLABS_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/elevenlabs-scribe" }, "sameCompany": [ "elevenlabs-music", "elevenlabs-tts", "elevenlabs-agents", "elevenlabs-voice-cloning" ], "area": "voice", "unitPrices": [ { "item": "Scribe v2 batch", "unit": "audio-minute", "usd": 0.0037, "note": "published as $0.22 an hour, also Scribe v2 Medical" }, { "item": "Scribe v2 Realtime", "unit": "audio-minute", "usd": 0.0065, "note": "published as $0.39 an hour" }, { "item": "Transcript editing add-on (batch)", "unit": "audio-minute", "usd": 0.0012, "note": "published as $0.07 an hour; $0.12 on Scribe v2 Realtime" }, { "item": "Keyterm prompting add-on (batch)", "unit": "audio-minute", "usd": 0.0008, "note": "published as $0.05 an hour; $0.08 on Scribe v2 Realtime" } ], "provenance": { "legalEntity": "Eleven Labs Inc.", "domain": "elevenlabs.io", "domainRegistered": "2021-12-15", "endpointOnVendorDomain": true, "terms": "https://elevenlabs.io/terms-of-use", "privacy": "https://elevenlabs.io/privacy-policy", "statusPage": "https://status.elevenlabs.io", "changelog": "https://elevenlabs.io/docs/changelog", "securityTxt": "valid", "checked": "2026-11-01", "score": 91 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/elevenlabs-scribe.json", "live": { "slug": "elevenlabs-scribe", "probe": { "target": "https://api.elevenlabs.io/v1", "method": "get", "lastAt": "2026-11-04T21:39:22.134850133Z", "lastOk": true, "lastStatus": 404, "lastMs": 112, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 134, "p95ms24h": 289, "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": 252 }, { "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": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 223, "ok": 223 } ] }, "vendorStatus": { "page": "https://status.elevenlabs.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-04T21:38:11.457424346Z" }, "versions": [ { "registry": "github", "name": "elevenlabs/elevenlabs-python", "version": "v2.76.0", "released": "2026-11-04", "seenAt": "2026-11-04T20:14:18.781210986Z" }, { "registry": "npm", "name": "@elevenlabs/elevenlabs-js", "version": "2.76.0", "seenAt": "2026-11-04T20:14:16.334581395Z" }, { "registry": "pypi", "name": "elevenlabs", "version": "2.76.0", "released": "2026-11-04", "seenAt": "2026-11-04T20:14:16.619502712Z" }, { "registry": "pypi", "name": "elevenlabs-mcp", "version": "0.12.2", "released": "2026-08-04", "seenAt": "2026-11-04T20:14:16.73528861Z" } ], "githubStars": 3172, "npmWeekly": 1334670, "pypiWeekly": 2612931, "securityTxt": { "url": "https://elevenlabs.io/.well-known/security.txt", "state": "valid", "expires": "2027-10-06T00:00:00.000Z", "checkedAt": "2026-11-04T15:54:10.357272915Z" }, "llmsTxt": { "url": "https://elevenlabs.io/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-04T15:22:53.964265875Z" }, "domain": { "domain": "elevenlabs.io", "checkedAt": "2026-11-01T14:12:37.895521288Z" }, "github": { "repo": "elevenlabs/elevenlabs-python", "checkedAt": "2026-11-02T08:46:10.308861891Z", "stars": 3170, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-30T19:21:45Z", "openIssues": 20, "openPRs": 35, "issuesOpened90d": 13, "issuesClosed90d": 7, "prsMerged90d": 33, "ci": { "branch": "main", "runs": 50, "success": 49, "failure": 1, "other": 0, "latest": "success", "latestAt": "2026-10-27T23:12:03Z" }, "replies": { "sampled": 25, "unanswered": 8, "medianDays": 2.3 } }, "updatedAt": "2026-11-04T21:39:22.134850133Z" } }, "answer": "ElevenLabs Scribe Speech to Text API scores 73 (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": 41, "category": "transparency", "leads": "elevenlabs-scribe", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed service with clear terms and MIT SDKs (15). The Privacy Policy, updated 9 October 2026 and re-read on 1 November, allows training on personal data with a forward-only opt-out, and the zero retention page now says every `/v1/speech-to-text/` endpoint is covered for Enterprise customers. We found no speech-to-text statement that contradicts them, though a reader still pieces the position together from three pages (15). `scribe_v1` is marked deprecated without a date or a written policy (5). EU, India and Singapore residency hosts are documented, but no named sub-processor list was found (15). 15 + 15 + 5 + 15 = 50.", "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": 71, "b": 30 } }, { "by": 30, "category": "reliability", "leads": "elevenlabs-scribe", "name": "Reliability", "reasons": { "a": "incident.io status page with a Speech to Text component and dated component history (20). Re-read on 1 November from the history page, which dates each component's impact, as the ElevenLabs text-to-speech, voice cloning and agents listings were read; the incidents feed was re-posted on 21 October and leaves older incidents out. Six incidents touched the Speech to Text component in the 90 days from 3 August. Elevated TTS and STT error rates from 06:39 to 07:13 UTC on 3 August and TTS and STT latency from 15:15 to 17:53 UTC on 26 August, both at degraded performance. Two latency incidents on 4 September, the EU residency from 11:41 to 12:12 UTC and the global residency from 13:55 to 21:01 UTC for \"a small subset of requests\", and STT latency from 15:42 to 16:05 UTC on 28 September, all degraded. From 16:00 to 19:44 UTC on 29 September a usage datastore fault caused latency, conversation failures and 429s on STT requests, marked partial outage on Speech to Text and Conversations. The 1 October note called it one major of 94 minutes; the page dates the STT impact at 3 hours 44 minutes, and it is read as partial, as the ElevenLabs agents listing read the same incident. A one-minute entry named \"Test\" on 16 October isn't counted. Nothing has touched STT since 29 September. Minor only (20 of 30, was 10). Concurrency per plan published with numbers, re-read on 1 November, 8 on Free to 60 on Scale for batch and 6 to 45 for realtime, with `current-concurrent-requests` and `maximum-concurrent-requests` headers (15). The error reference names three 429 codes, `rate_limit_exceeded`, `concurrent_limit_exceeded` and `system_busy`, and asks for exponential backoff (15). No SLA found for self-serve plans, and the API pricing page puts SLAs under Enterprise (0). Scribe v2, Scribe v2 Realtime and Scribe v2 Medical carry no alpha or beta label (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": "elevenlabs-scribe", "name": "Schema \u0026 documentation", "reasons": { "a": "OpenAPI file at api.elevenlabs.io/openapi.json, per the 1 October check, not re-read on 1 November because api.elevenlabs.io's robots.txt disallows every path (25). llms.txt with a Markdown twin of each page, re-read on 1 November (10). Reference pages state what each parameter does, and the docs separate batch, realtime and medical use, though they rarely say when not to use one (15). Multipart fields are typed with enums such as `timestamps_granularity`, and `model_id` is required (15). Examples on each endpoint and an error reference with codes and meanings, re-read on 1 November (15). Versioned `/v1` paths and a dated weekly changelog, the newest entry 26 October (15). 25 + 10 + 15 + 15 + 15 + 15 = 95.", "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": 10, "category": "payments", "leads": "elevenlabs-scribe", "name": "Payments \u0026 pricing", "reasons": { "a": "No x402, MPP or L402 (0). Per-hour prices and plan allowances published without a login, re-read on 1 November, $0.22 an hour for Scribe v2 and Scribe v2 Medical and $0.39 for Scribe v2 Realtime (20). Free plan with 4 hours 30 minutes of batch a month and no card, per the 1 October check; the pricing page read on 1 November doesn't say whether the free plan needs one (20). A person signs up in a browser (0). 0 + 20 + 20 + 0 = 40.", "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": 8, "category": "security", "leads": "elevenlabs-scribe", "name": "Security \u0026 auth", "reasons": { "a": "Model reading of the checklist, with training and retention in place of least-privilege and injection lines. Keys can be restricted to chosen endpoints, given a credit quota and limited to IP addresses or CIDR ranges, user keys can expire after 15 minutes to 30 days, service accounts hold keys that don't belong to a person, and leaked keys found by GitHub secret scanning are disabled, re-read on 1 November. Realtime browser clients use single-use tokens, which we don't deduct for (30). The Privacy Policy (updated 9 October 2026, re-read on 1 November) says ElevenLabs may train on personal data, with an opt-out under Data use that only covers data sent after it's set (10). Speech-to-text audio and transcripts are kept by default and zero retention through `enable_logging=false` is Enterprise only, though the zero retention page now names every `/v1/speech-to-text/` endpoint (5). The Developers page has a Request Log that lists every API request with search, filters and CSV export, and usage can be broken down by API key, though we found no audit log of key actions below Enterprise (10 of 15, was 5). A valid security.txt (expiring 6 October 2027, re-read on 1 November) pointing to a vulnerability disclosure programme, and the Eleven v4 launch page states SOC 2 Type II, ISO 27001 and PCI DSS Level 1 certification for every ElevenLabs model. We count those as vendor claims because we saw no report, and the trust centre wasn't re-read. No bug bounty or public advisories found (10 of 20, was 5, as the ElevenLabs text-to-speech listing reads the same evidence). 30 + 10 + 5 + 10 + 10 = 65.", "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": 65, "b": 57 } }, { "by": 8, "category": "maintenance", "leads": "elevenlabs-scribe", "name": "Maintenance \u0026 community", "reasons": { "a": "Read as a model, as the ElevenLabs text-to-speech listing is, in place of the 1 October release-count reading. Newest change is SDK 2.75.0, tagged in the Python and JavaScript repositories on 27 October 2026 (23:02 UTC), and the 26 October changelog entry changed realtime silence thresholds and added transcription webhook retries. Speech to Text also changed on 12 October (`turn_prediction` commit strategy) and 19 October (`edited_text`) (30). Weekly dated entries, 16 between 3 August and 26 October (10). `scribe_v1` is still marked deprecated in favour of `scribe_v2` with no date or notice period (0 of 10). Public changelog and support channels (10 of 15). The Python SDK had 19 open issues on 1 October, several opened in August 2026, per the ElevenLabs text-to-speech listing's 1 October check of the same repository, not re-read on 1 November (5 of 10). Official Python and TypeScript SDKs current at 2.75.0. The local `elevenlabs-mcp` package, the only one with a transcription tool, has been deprecated since 20 August 2026 in favour of the hosted server, its last release 0.12.2 on 4 August (15). Fern-generated SDKs, read as the ElevenLabs text-to-speech listing reads them (7 of 10). 30 + 10 + 0 + 10 + 5 + 15 + 7 = 77.", "b": "Read as a model, on the lines deepgram-stt and cartesia-ink-stt use (recency 30, dated releases 10, deprecation notice 10, support 15, issues 10, SDKs 15, health 10). The Python and Node SDKs released 0.2.1 and the Pipecat adapter 0.3.3 on 1 November 2026, and the examples and MCP repositories changed on 3 November (30). Since 7 October the Node SDK has four tagged releases, the Python SDK six and the Pipecat adapter six, the STT ones from 12 October (10). No deprecation policy or dated notice. The legacy `https://giggy.ai/v1` origin and older SDK transports are kept 'for existing integrations' with no end date (2 of 10). No service changelog; the support and contact pages drew by script, and GitHub issues is the support URL in the plugin manifest (5 of 15). GitHub issues and reply times could not be read, since the GitHub API was not available to this session (0 of 10). Official SDKs current, `giggy` and `@giggy-ai/sdk` at 0.2.1 on PyPI and npm (15). CI workflows in five repositories and publish workflows, the n8n node through npm OIDC with provenance, and two runtime dependencies in each SDK; run results not seen (7 of 10). 30+10+2+5+0+15+7 = 69." }, "scores": { "a": 77, "b": 69 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "ElevenLabs", "b": "Giggy", "name": "Vendor" }, { "a": "https://api.elevenlabs.io/v1", "b": "https://api.giggy.ai/v1", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP, SSE (legacy), websocket, Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "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": "2026-10-27", "b": "2026-11-01", "name": "Last release" }, { "a": "2026-03-31", "b": "not read yet", "name": "Terms last updated" }, { "a": "2026-05-20", "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": "not found in the text", "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": "3.1k stars, 1.1M npm/wk, 2.2M PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "ElevenLabs Scribe Speech to Text API scores 73 (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, ElevenLabs Scribe Speech to Text API or Giggy Speech to Text?" }, { "answer": "Both need an API key.", "question": "Do ElevenLabs Scribe Speech to Text API and Giggy Speech to Text need an API key?" }, { "answer": "Yes. ElevenLabs Scribe Speech to Text API has a hosted endpoint at https://api.elevenlabs.io/v1 and Giggy Speech to Text at https://api.giggy.ai/v1.", "question": "Can an agent call ElevenLabs Scribe Speech to Text API 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, 65 against 57", "Payments \u0026 pricing, 40 against 30", "Maintenance \u0026 community, 77 against 69", "Transparency \u0026 trust, 71 against 30" ], "also": [ "Agent-ready, a grade of BB or better", "Runs on your own machine" ], "goodFor": "Batch transcription where diarisation, entity detection and keyterms matter, and for teams already on ElevenLabs for speech.", "slug": "elevenlabs-scribe", "watchFor": "Audio may be used for training unless the account opts out, and the opt-out isn't retroactive" }, { "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": { "elevenlabs-scribe": [ { "causes": [ "evidence", "correction" ], "date": "2026-11-01", "delta": 4, "from": 69, "fromGrade": "B", "to": 73, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 68.9, "fromGrade": "B", "to": 69, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.1, "from": 69, "fromGrade": "B", "to": 68.9, "toGrade": "B" } ], "giggy-stt": null }, "job": { "capability": "speech.stt", "name": "Speech-to-text" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-elevenlabs-scribe.json", "title": "Amazon Transcribe vs ElevenLabs 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"https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-soniox-stt.json", "title": "ElevenLabs Scribe Speech to Text API vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-speechmatics-stt.json", "title": "ElevenLabs Scribe Speech to Text API vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-speechmatics-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, "edge": "elevenlabs-scribe", "elevenlabs-scribe": 80, "giggy-stt": 50, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 27, "edge": "elevenlabs-scribe", "elevenlabs-scribe": 95, "giggy-stt": 68, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 7, "edge": "elevenlabs-scribe", "elevenlabs-scribe": 75, "giggy-stt": 68, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 8, "edge": "elevenlabs-scribe", "elevenlabs-scribe": 65, "giggy-stt": 57, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 10, "edge": "elevenlabs-scribe", "elevenlabs-scribe": 40, "giggy-stt": 30, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 8, "edge": "elevenlabs-scribe", "elevenlabs-scribe": 77, "giggy-stt": 69, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 41, "edge": "elevenlabs-scribe", "elevenlabs-scribe": 71, "giggy-stt": 30, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "ElevenLabs Scribe Speech to Text API scores 73 (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": "$0.22 to $0.39", "b": "$0.04 to $0.09", "cheaper": "giggy-stt", "task": "Transcribe a one-hour meeting", "what": "60 minutes of recorded audio" } ], "tutorials": [], "verdicts": { "elevenlabs-scribe": "Scribe v2 transcribes 90+ languages at $0.22 an hour of batch audio, with diarisation up to 32 speakers and keys that can be scoped by endpoint, capped and set to expire. Audio may be used for training unless the account opts out, the opt-out isn't retroactive, and zero retention needs Enterprise.", "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/elevenlabs-scribe-vs-giggy-stt", "json": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-giggy-stt.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-giggy-stt.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-giggy-stt.min.md" }, "markdown": "ElevenLabs Scribe Speech to Text API scores 73 (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- ElevenLabs Scribe Speech to Text API: grade BB, 73/100, rank #101 of 1349. Markdown https://www.anchorterminal.com/tools/elevenlabs-scribe.md · JSON https://www.anchorterminal.com/api/v1/tools/elevenlabs-scribe.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### ElevenLabs Scribe Speech to Text API (BB)\n\nGood for: Batch transcription where diarisation, entity detection and keyterms matter, and for teams already on ElevenLabs for speech.\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, 65 against 57\n- Payments \u0026 pricing, 40 against 30\n- Maintenance \u0026 community, 77 against 69\n- Transparency \u0026 trust, 71 against 30\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Runs on your own machine\n\nWatch for: Audio may be used for training unless the account opts out, and the opt-out isn't retroactive\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: ElevenLabs Scribe Speech to Text API +41\n\n- ElevenLabs Scribe Speech to Text API (71): Closed service with clear terms and MIT SDKs (15). The Privacy Policy, updated 9 October 2026 and re-read on 1 November, allows training on personal data with a forward-only opt-out, and the zero retention page now says every `/v1/speech-to-text/` endpoint is covered for Enterprise customers. We found no speech-to-text statement that contradicts them, though a reader still pieces the position together from three pages (15). `scribe_v1` is marked deprecated without a date or a written policy (5). EU, India and Singapore residency hosts are documented, but no named sub-processor list was found (15). 15 + 15 + 5 + 15 = 50.\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: ElevenLabs Scribe Speech to Text API +30\n\n- ElevenLabs Scribe Speech to Text API (80): incident.io status page with a Speech to Text component and dated component history (20). Re-read on 1 November from the history page, which dates each component's impact, as the ElevenLabs text-to-speech, voice cloning and agents listings were read; the incidents feed was re-posted on 21 October and leaves older incidents out. Six incidents touched the Speech to Text component in the 90 days from 3 August. Elevated TTS and STT error rates from 06:39 to 07:13 UTC on 3 August and TTS and STT latency from 15:15 to 17:53 UTC on 26 August, both at degraded performance. Two latency incidents on 4 September, the EU residency from 11:41 to 12:12 UTC and the global residency from 13:55 to 21:01 UTC for \"a small subset of requests\", and STT latency from 15:42 to 16:05 UTC on 28 September, all degraded. From 16:00 to 19:44 UTC on 29 September a usage datastore fault caused latency, conversation failures and 429s on STT requests, marked partial outage on Speech to Text and Conversations. The 1 October note called it one major of 94 minutes; the page dates the STT impact at 3 hours 44 minutes, and it is read as partial, as the ElevenLabs agents listing read the same incident. A one-minute entry named \"Test\" on 16 October isn't counted. Nothing has touched STT since 29 September. Minor only (20 of 30, was 10). Concurrency per plan published with numbers, re-read on 1 November, 8 on Free to 60 on Scale for batch and 6 to 45 for realtime, with `current-concurrent-requests` and `maximum-concurrent-requests` headers (15). The error reference names three 429 codes, `rate_limit_exceeded`, `concurrent_limit_exceeded` and `system_busy`, and asks for exponential backoff (15). No SLA found for self-serve plans, and the API pricing page puts SLAs under Enterprise (0). Scribe v2, Scribe v2 Realtime and Scribe v2 Medical carry no alpha or beta label (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: ElevenLabs Scribe Speech to Text API +27\n\n- ElevenLabs Scribe Speech to Text API (95): OpenAPI file at api.elevenlabs.io/openapi.json, per the 1 October check, not re-read on 1 November because api.elevenlabs.io's robots.txt disallows every path (25). llms.txt with a Markdown twin of each page, re-read on 1 November (10). Reference pages state what each parameter does, and the docs separate batch, realtime and medical use, though they rarely say when not to use one (15). Multipart fields are typed with enums such as `timestamps_granularity`, and `model_id` is required (15). Examples on each endpoint and an error reference with codes and meanings, re-read on 1 November (15). Versioned `/v1` paths and a dated weekly changelog, the newest entry 26 October (15). 25 + 10 + 15 + 15 + 15 + 15 = 95.\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### Payments \u0026 pricing: ElevenLabs Scribe Speech to Text API +10\n\n- ElevenLabs Scribe Speech to Text API (40): No x402, MPP or L402 (0). Per-hour prices and plan allowances published without a login, re-read on 1 November, $0.22 an hour for Scribe v2 and Scribe v2 Medical and $0.39 for Scribe v2 Realtime (20). Free plan with 4 hours 30 minutes of batch a month and no card, per the 1 October check; the pricing page read on 1 November doesn't say whether the free plan needs one (20). A person signs up in a browser (0). 0 + 20 + 20 + 0 = 40.\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### Security \u0026 auth: ElevenLabs Scribe Speech to Text API +8\n\n- ElevenLabs Scribe Speech to Text API (65): Model reading of the checklist, with training and retention in place of least-privilege and injection lines. Keys can be restricted to chosen endpoints, given a credit quota and limited to IP addresses or CIDR ranges, user keys can expire after 15 minutes to 30 days, service accounts hold keys that don't belong to a person, and leaked keys found by GitHub secret scanning are disabled, re-read on 1 November. Realtime browser clients use single-use tokens, which we don't deduct for (30). The Privacy Policy (updated 9 October 2026, re-read on 1 November) says ElevenLabs may train on personal data, with an opt-out under Data use that only covers data sent after it's set (10). Speech-to-text audio and transcripts are kept by default and zero retention through `enable_logging=false` is Enterprise only, though the zero retention page now names every `/v1/speech-to-text/` endpoint (5). The Developers page has a Request Log that lists every API request with search, filters and CSV export, and usage can be broken down by API key, though we found no audit log of key actions below Enterprise (10 of 15, was 5). A valid security.txt (expiring 6 October 2027, re-read on 1 November) pointing to a vulnerability disclosure programme, and the Eleven v4 launch page states SOC 2 Type II, ISO 27001 and PCI DSS Level 1 certification for every ElevenLabs model. We count those as vendor claims because we saw no report, and the trust centre wasn't re-read. No bug bounty or public advisories found (10 of 20, was 5, as the ElevenLabs text-to-speech listing reads the same evidence). 30 + 10 + 5 + 10 + 10 = 65.\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### Maintenance \u0026 community: ElevenLabs Scribe Speech to Text API +8\n\n- ElevenLabs Scribe Speech to Text API (77): Read as a model, as the ElevenLabs text-to-speech listing is, in place of the 1 October release-count reading. Newest change is SDK 2.75.0, tagged in the Python and JavaScript repositories on 27 October 2026 (23:02 UTC), and the 26 October changelog entry changed realtime silence thresholds and added transcription webhook retries. Speech to Text also changed on 12 October (`turn_prediction` commit strategy) and 19 October (`edited_text`) (30). Weekly dated entries, 16 between 3 August and 26 October (10). `scribe_v1` is still marked deprecated in favour of `scribe_v2` with no date or notice period (0 of 10). Public changelog and support channels (10 of 15). The Python SDK had 19 open issues on 1 October, several opened in August 2026, per the ElevenLabs text-to-speech listing's 1 October check of the same repository, not re-read on 1 November (5 of 10). Official Python and TypeScript SDKs current at 2.75.0. The local `elevenlabs-mcp` package, the only one with a transcription tool, has been deprecated since 20 August 2026 in favour of the hosted server, its last release 0.12.2 on 4 August (15). Fern-generated SDKs, read as the ElevenLabs text-to-speech listing reads them (7 of 10). 30 + 10 + 0 + 10 + 5 + 15 + 7 = 77.\n- Giggy Speech to Text (69): Read as a model, on the lines deepgram-stt and cartesia-ink-stt use (recency 30, dated releases 10, deprecation notice 10, support 15, issues 10, SDKs 15, health 10). The Python and Node SDKs released 0.2.1 and the Pipecat adapter 0.3.3 on 1 November 2026, and the examples and MCP repositories changed on 3 November (30). Since 7 October the Node SDK has four tagged releases, the Python SDK six and the Pipecat adapter six, the STT ones from 12 October (10). No deprecation policy or dated notice. The legacy `https://giggy.ai/v1` origin and older SDK transports are kept 'for existing integrations' with no end date (2 of 10). No service changelog; the support and contact pages drew by script, and GitHub issues is the support URL in the plugin manifest (5 of 15). GitHub issues and reply times could not be read, since the GitHub API was not available to this session (0 of 10). Official SDKs current, `giggy` and `@giggy-ai/sdk` at 0.2.1 on PyPI and npm (15). CI workflows in five repositories and publish workflows, the n8n node through npm OIDC with provenance, and two runtime dependencies in each SDK; run results not seen (7 of 10). 30+10+2+5+0+15+7 = 69.\n\n## Score by category\n\n| Category | Weight | ElevenLabs Scribe Speech to Text API | Giggy Speech to Text | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 50 | ElevenLabs Scribe Speech to Text API +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 95 | 68 | ElevenLabs Scribe Speech to Text API +27 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 68 | ElevenLabs Scribe Speech to Text API +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 57 | ElevenLabs Scribe Speech to Text API +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 30 | ElevenLabs Scribe Speech to Text API +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 77 | 69 | ElevenLabs Scribe Speech to Text API +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 71 | 30 | ElevenLabs Scribe Speech to Text API +41 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **73 · BB** | **54.5 · C** | |\n\n## Facts side by side\n\n| Fact | ElevenLabs Scribe Speech to Text API | Giggy Speech to Text |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | ElevenLabs | Giggy |\n| Hosted endpoint | `https://api.elevenlabs.io/v1` | `https://api.giggy.ai/v1` |\n| Transports | HTTP, stdio | HTTP, SSE (legacy), websocket, Streamable HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | 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 | 2026-10-27 | 2026-11-01 |\n| Terms last updated | 2026-03-31 | not read yet |\n| Privacy policy last updated | 2026-05-20 | 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 | not found in the text | 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 | 3.1k stars, 1.1M npm/wk, 2.2M PyPI/wk | none |\n| Agent reviews | 3.5/5 (2) | none |\n\n## What the same task costs\n\n| Task | ElevenLabs Scribe Speech to Text API | Giggy Speech to Text |\n| --- | --- | --- |\n| Transcribe a one-hour meeting | $0.22 to $0.39 | $0.04 to $0.09 |\n\n## How the scores have moved\n\n### ElevenLabs Scribe Speech to Text API\n\n- +4.0 on 1 November 2026 (B to BB): new evidence, correction\n- +0.1 on 27 October 2026: checklist\n- -0.1 on 8 October 2026: checklist\n\n### Giggy Speech to Text\n\nNo score change since it was listed.\n\n## Verdicts\n\n**ElevenLabs Scribe Speech to Text API.** Scribe v2 transcribes 90+ languages at $0.22 an hour of batch audio, with diarisation up to 32 speakers and keys that can be scoped by endpoint, capped and set to expire. Audio may be used for training unless the account opts out, the opt-out isn't retroactive, and zero retention needs Enterprise.\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### ElevenLabs Scribe Speech to Text API\n\n1. Create a key restricted to speech-to-text with a credit quota and an expiry\n2. Use `source_url` for hosted files instead of downloading and re-uploading\n3. Set `webhook=true` for long files and turn on webhook retries so results aren't lost\n4. Back off exponentially on any of the three 429 codes\n5. Opt out under Data use before sending customer audio. It only covers later uploads\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, ElevenLabs Scribe Speech to Text API or Giggy Speech to Text?\n\nElevenLabs Scribe Speech to Text API scores 73 (BB) on agent readiness against Giggy Speech to Text's 54.5 (C), and leads in every scored category.\n\n### Do ElevenLabs Scribe Speech to Text API and Giggy Speech to Text need an API key?\n\nBoth need an API key.\n\n### Can an agent call ElevenLabs Scribe Speech to Text API and Giggy Speech to Text without installing anything?\n\nYes. ElevenLabs Scribe Speech to Text API has a hosted endpoint at https://api.elevenlabs.io/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/elevenlabs-scribe-vs-giggy-stt.json, and with the fewest tokens: https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-giggy-stt.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"elevenlabs-scribe\", \"b\": \"giggy-stt\"}`. From a terminal: `anchor compare elevenlabs-scribe giggy-stt`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/elevenlabs-scribe.json and https://www.anchorterminal.com/api/v1/tools/giggy-stt.json\n\n## Other comparisons with ElevenLabs Scribe Speech to Text API or Giggy Speech to Text\n\n- [Amazon Transcribe vs ElevenLabs Scribe Speech to Text API](https://www.anchorterminal.com/compare/amazon-transcribe-vs-elevenlabs-scribe.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 ElevenLabs Scribe Speech to Text API](https://www.anchorterminal.com/compare/assemblyai-stt-vs-elevenlabs-scribe.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 ElevenLabs Scribe Speech to Text API](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-elevenlabs-scribe.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 ElevenLabs Scribe Speech to Text API](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-elevenlabs-scribe.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 Giggy Speech to Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-giggy-stt.md)\n- [ElevenLabs Scribe Speech to Text API vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-gladia-stt.md)\n- [ElevenLabs Scribe Speech to Text API vs Google Cloud Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-google-speech-to-text.md)\n- [ElevenLabs Scribe Speech to Text API vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-groq-speech-to-text.md)\n- [ElevenLabs Scribe Speech to Text API vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-mistral-voxtral-transcribe.md)\n- [ElevenLabs Scribe Speech to Text API vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-openai-speech-to-text.md)\n- [ElevenLabs Scribe Speech to Text API vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-rev-ai-stt.md)\n- [ElevenLabs Scribe Speech to Text API vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-soniox-stt.md)\n- [ElevenLabs Scribe Speech to Text API vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-speechmatics-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": "ElevenLabs Scribe Speech to Text API vs Giggy Speech to Text", "url": "" } ], "description": "ElevenLabs Scribe Speech to Text scores 73 (BB) to Giggy Speech to Text's 54.5 (C) for speech-to-text. 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