{ "data": { "a": { "slug": "cartesia-ink-stt", "name": "Cartesia Ink", "vendor": "Cartesia", "vendorUrl": "https://www.cartesia.ai", "kind": "model", "category": "speech-to-text", "summary": "Cartesia's hosted speech-to-text API. Ink 2 transcribes live audio in five languages over a WebSocket with built-in turn detection, and the older Ink Whisper model transcribes uploaded files in about 100 languages.", "url": "https://www.anchorterminal.com/tools/cartesia-ink-stt", "markdownUrl": "https://www.anchorterminal.com/tools/cartesia-ink-stt.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cartesia-ink-stt.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cartesia-ink-stt.json", "repo": "https://github.com/cartesia-ai/cartesia-python", "license": "Proprietary hosted service under the Cartesia Terms of Service. The Python and JavaScript SDKs are Apache-2.0", "transports": [ "http", "websocket", "streamable-http" ], "remoteUrl": "https://api.cartesia.ai", "packages": [ { "registry": "pypi", "name": "cartesia" }, { "registry": "npm", "name": "@cartesia/cartesia-js" }, { "registry": "pypi", "name": "cartesia-mcp" } ], "auth": "api-key", "authNotes": "Self-serve API key (`sk_car_...`) from the Playground at play.cartesia.ai/keys, sent as `Authorization: Bearer` or `X-API-Key`. Browser clients use an access token with an `stt` grant, valid for at most one hour, passed as the `access_token` query parameter on WebSockets. Usage and key-metadata endpoints need a separate admin key (https://docs.cartesia.ai/use-the-api/api-conventions).", "pricing": "freemium", "pricingNotes": "Billed in credits. `ink-2` costs 3 credits a second of audio on both realtime endpoints, silence included. `ink-whisper` costs 1 credit a second in realtime and 1 credit per 2 seconds in batch (https://docs.cartesia.ai/pricing). Plans are Free ($0, 20,000 credits a month), Pro ($5, 100,000), Startup ($49, 1.25 million) and Scale ($299, 8 million), so an agent's owner can start without a contract. Commercial use starts at Pro (https://www.cartesia.ai/pricing).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the pricing pages or the STT reference (checked 2026-10-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 134, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.cartesia.ai/use-the-api/stt/compare-endpoints", "llmsTxt": "https://docs.cartesia.ai/llms.txt", "openapi": "https://docs.cartesia.ai/latest.yml", "capabilities": [ "speech.stt", "speech.streaming", "speech.batch", "speech.languages" ], "tags": [ "official", "hosted", "model", "closed-source", "streaming", "batch", "free-tier", "python", "typescript", "openapi", "llms-txt", "mcp", "status-page", "security-txt", "soc2", "enterprise" ], "lastRelease": "2026-09-17", "graded": true, "anchor": { "graded": true, "score": 67.9, "grade": "B", "agentReady": false, "rank": 238, "ranked": true, "rankOf": 950, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 74, "maintenance": 85, "payments": 35, "reliability": 73, "schema": 89, "security": 52, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "Ink 2 streams transcripts with turn detection built into the model, documented by an AsyncAPI file with typed ranges and structured errors. The terms, last revised 14 June 2024, let Cartesia train on inputs and outputs unless the customer opts out, and zero data retention is an Enterprise setting. Ink 2 has no batch endpoint and no diarisation.", "bestFor": "Suited to voice agents that need turn detection and transcription from one model in English, French, Hindi, Japanese or Spanish, and to teams already using Cartesia text-to-speech.", "strengths": [ "`/stt/turns/websocket` emits `turn.start`, `turn.update`, `turn.eager_end`, `turn.resume` and `turn.end`, so no separate voice activity detector is needed", "OpenAPI and AsyncAPI files, llms.txt and Markdown twins of every docs page, with enums and numeric ranges on the WebSocket parameters", "Structured errors on `Cartesia-Version` 2026-03-01 and later, with `error_code`, `title`, `message`, `request_id` and an optional `doc_url`", "Short-lived access tokens (at most one hour) carry an `stt` grant, and admin keys are a separate key type from standard keys", "The status page lists Speech to Text in four regions, at 99.97% (US), 99.994% (EU and APAC) and 100% (AU) for July to October 2026" ], "weaknesses": [ "The terms let Cartesia train models on inputs and outputs unless otherwise agreed. Opting out is a form in the Playground's data controls", "Zero data retention is an Enterprise plan setting, and no retention period for other plans was found in the terms, privacy policy or docs", "`ink-2` supports English, French, Hindi, Japanese and Spanish only and has no batch endpoint. `POST /stt` accepts `ink-whisper` only", "No diarisation or speaker labels in the reviewed documentation, and realtime input is raw mono PCM with `encoding` and `sample_rate` required", "The terms of 14 June 2024 forbid automation software (bots) and any robot or scraper that accesses the Services to collect data, which matters before any probe is run", "No SLA was found, and a 429 for exceeding the concurrency limit is documented without a `Retry-After` header or backoff guidance" ], "agentNotes": [ "Use `wss://api.cartesia.ai/stt/turns/websocket` with `model=ink-2`, `encoding`, `sample_rate` and `cartesia_version=2026-08-14`. All four are required.", "Send raw mono audio in chunks of about 100 ms at the speed it was spoken. Pushing a whole file into the socket can return an internal server error.", "Read the final text from `turn.end` only. `transcript` is cumulative within a turn, so joining `turn.update` events duplicates text.", "Send `{\"type\": \"close\"}` after the last audio and keep reading until the server closes the socket, or the buffered tail is lost.", "Check `encoding` and `sample_rate` against the source before sending. The docs say the server might not return an error when they are wrong." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 67.9 } ], "editorialScores": { "ergonomics": 74, "maintenance": 85, "payments": 35, "reliability": 73, "schema": 89, "security": 52, "transparency": 49 }, "provenanceScore": 84 }, "connect": { "install": "pip install 'cartesia[websockets]' # or: npm install @cartesia/cartesia-js", "claudeCode": "claude mcp add --transport http --scope user cartesia https://mcp.cartesia.ai/mcp" }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/cartesia-ink-stt" }, "sameCompany": [ "cartesia-tts", "cartesia-voice-cloning" ], "area": "voice", "unitPrices": [ { "item": "Ink 2 realtime, Scale plan", "unit": "audio-minute", "usd": 0.0067, "note": "180 credits a minute at $299 for 8M credits. Cartesia quotes $0.39 an hour" }, { "item": "Ink 2 realtime, Startup plan", "unit": "audio-minute", "usd": 0.0071, "note": "180 credits a minute at $49 for 1.25M credits" }, { "item": "Ink 2 realtime, Pro plan", "unit": "audio-minute", "usd": 0.009, "note": "180 credits a minute at $5 for 100,000 credits" }, { "item": "Ink Whisper realtime, Scale plan", "unit": "audio-minute", "usd": 0.0022, "note": "60 credits a minute at $299 for 8M credits" }, { "item": "Ink Whisper batch, Scale plan", "unit": "audio-minute", "usd": 0.0011, "note": "30 credits a minute at $299 for 8M credits" } ], "provenance": { "legalEntity": "Cartesia AI, Inc.", "domain": "cartesia.ai", "domainRegistered": "2023-05-10", "endpointOnVendorDomain": true, "terms": "https://www.cartesia.ai/legal/terms", "privacy": "https://www.cartesia.ai/legal/privacy", "statusPage": "https://status.cartesia.ai", "changelog": "https://docs.cartesia.ai/changelog/2026", "securityTxt": "valid", "checked": "2026-10-09", "score": 84 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cartesia-ink-stt.json", "live": { "slug": "cartesia-ink-stt", "probe": { "target": "https://api.cartesia.ai", "method": "get", "lastAt": "2026-10-10T03:07:00.809061285Z", "lastOk": true, "lastStatus": 200, "lastMs": 126, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 69, "p95ms24h": 203, "samples24h": 117, "samples30d": 117, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 32, "ok": 32 } ] }, "vendorStatus": { "page": "https://status.cartesia.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T03:01:52.995710279Z" }, "versions": [ { "registry": "github", "name": "cartesia-ai/cartesia-python", "version": "v4.2.0", "released": "2026-09-02", "seenAt": "2026-10-09T16:44:27.669680758Z" }, { "registry": "npm", "name": "@cartesia/cartesia-js", "version": "4.2.0", "seenAt": "2026-10-09T16:44:25.845737197Z" }, { "registry": "pypi", "name": "cartesia", "version": "4.2.0", "released": "2026-09-02", "seenAt": "2026-10-09T16:44:25.659263821Z" }, { "registry": "pypi", "name": "cartesia-mcp", "version": "0.26.1", "released": "2026-10-08", "seenAt": "2026-10-09T16:44:26.977578193Z" } ], "githubStars": 134, "npmWeekly": 79696, "pypiWeekly": 205864, "pages": [ { "url": "https://docs.cartesia.ai/changelog/2026", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:36:45.184290806Z", "changedAt": "2026-10-07T18:04:49.25388057Z", "fingerprint": "405fadad924b" }, { "url": "https://docs.cartesia.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:36:47.532132362Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "379a41a8bcf3" }, { "url": "https://www.cartesia.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:48:59.764022121Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "12bd9269bdef" }, { "url": "https://www.cartesia.ai/legal/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:48:55.522982064Z", "changedAt": "2026-10-08T18:26:54.204830291Z", "fingerprint": "90fbd63881e5" }, { "url": "https://www.cartesia.ai/legal/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:48:57.753461207Z", "changedAt": "2026-10-08T18:26:56.591248396Z", "fingerprint": "2153bed03a23" } ], "updatedAt": "2026-10-10T03:07:00.809061285Z" } }, "answer": "Cartesia Ink and Speechmatics Speech-to-Text score within a point of each other on agent readiness, 67.9 (B) and 67.1 (B). Speechmatics Speech-to-Text leads on agent ergonomics, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust.", "b": { "slug": "speechmatics-stt", "name": "Speechmatics Speech-to-Text", "vendor": "Speechmatics", "vendorUrl": "https://www.speechmatics.com", "kind": "model", "category": "speech-to-text", "summary": "Speechmatics' APIs for batch and real-time transcription, including speaker-attributed turns for voice agents.", "url": "https://www.anchorterminal.com/tools/speechmatics-stt", "markdownUrl": "https://www.anchorterminal.com/tools/speechmatics-stt.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/speechmatics-stt.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/speechmatics-stt.json", "repo": "https://github.com/speechmatics/speechmatics-python-sdk", "license": "MIT (SDKs)", "transports": [ "http" ], "remoteUrl": "https://eu1.asr.api.speechmatics.com/v2", "packages": [ { "registry": "npm", "name": "@speechmatics/batch-client" }, { "registry": "npm", "name": "@speechmatics/real-time-client" }, { "registry": "pypi", "name": "speechmatics-batch" }, { "registry": "pypi", "name": "speechmatics-rt" } ], "auth": "api-key", "authNotes": "API key as a Bearer token. Short-lived JWTs for browser and realtime clients, passed as `?jwt=` on the WebSocket URL. A separate management token covers project and key administration.", "pricing": "usage", "pricingNotes": "$100 free credit with no card, then pay as you go per hour of audio, billed to the second. Batch Melia 1 $0.13, Batch Standard $0.24, Batch Enhanced $0.40, Realtime Standard $0.24, Realtime Enhanced $0.43, Linden 1 (Agent STT) $0.16 (was $0.21). Translation adds $0.65 an hour. 20 per cent off usage over 500 hours a month per model, and 33 per cent off if you opt in to model training (https://www.speechmatics.com/pricing).", "priceSummary": "Pay per use", "where": "hosted", "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": 20, "npmWeekly": 58050, "pypiWeekly": 48085, "asOf": "2026-09-30" }, "docsUrl": "https://docs.speechmatics.com", "llmsTxt": "https://docs.speechmatics.com/llms.txt", "capabilities": [ "speech.stt", "speech.streaming", "speech.batch", "speech.diarisation", "speech.languages", "speech.translation" ], "tags": [ "hosted", "no-card", "closed-source", "python", "typescript", "llms-txt", "streaming", "batch", "webhooks", "async-jobs", "enterprise", "self-hosted" ], "lastRelease": "2026-09-22", "graded": true, "anchor": { "graded": true, "score": 67.1, "grade": "B", "agentReady": false, "rank": 262, "ranked": true, "rankOf": 950, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 75, "payments": 40, "reliability": 70, "schema": 65, "security": 65, "transparency": 75 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Training is opt-in and real-time audio is not stored. Enhanced transcription costs $0.40 to $0.43 an hour.", "bestFor": "Regulated or privacy-sensitive audio, multilingual batch with Melia 1, and voice agents that want speaker-attributed turns.", "strengths": [ "Training is opt-in only, and realtime audio isn't stored", "ISO/IEC 27001:2022 and SOC 2 Type II", "Transcripts fetched as plain text, JSON or SRT", "Ten dated changelog entries in September 2026", "$100 credit with no card" ], "weaknesses": [ "Enhanced costs $0.40 to $0.43 an hour, above most rivals", "No OpenAPI or AsyncAPI file linked from the docs", "429s carry a reason but no Retry-After or backoff guidance", "Realtime JWTs travel in the WebSocket URL", "Free plan allows 2 realtime sessions" ], "agentNotes": [ "Set `\"model\": \"enhanced\"` explicitly. The default is `standard`", "Use notifications instead of polling. Polling waits 5 seconds by default since the 23 September 2026 change, and `wait=0` turns that off", "Fetch batch transcripts within 7 days. After that the API returns 404 `expired`", "Pass a `fetch_data` URL for files over 1 GB", "Use `/v2/agent` with `linden-1` for live agents instead of the plain realtime path" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 67.1 } ], "editorialScores": { "ergonomics": 80, "maintenance": 75, "payments": 40, "reliability": 70, "schema": 65, "security": 65, "transparency": 65 }, "provenanceScore": 85 }, "connect": { "http": "curl -X POST https://eu1.asr.api.speechmatics.com/v2/jobs/ -H \"Authorization: Bearer $SPEECHMATICS_API_KEY\" \\\n -F data_file=@call.wav \\\n -F config='{\"type\":\"transcription\",\"transcription_config\":{\"language\":\"en\",\"model\":\"enhanced\",\"diarization\":\"speaker\"}}'" }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/speechmatics-stt" }, "area": "voice", "unitPrices": [ { "item": "Batch Melia 1", "unit": "audio-minute", "usd": 0.0022, "note": "published as $0.13 an hour" }, { "item": "Batch Standard", "unit": "audio-minute", "usd": 0.004, "note": "published as $0.24 an hour" }, { "item": "Batch Enhanced", "unit": "audio-minute", "usd": 0.0067, "note": "published as $0.40 an hour" }, { "item": "Realtime Standard", "unit": "audio-minute", "usd": 0.004, "note": "published as $0.24 an hour" }, { "item": "Realtime Enhanced", "unit": "audio-minute", "usd": 0.0072, "note": "published as $0.43 an hour" }, { "item": "Linden 1 Agent STT", "unit": "audio-minute", "usd": 0.0027, "note": "published as $0.16 an hour, reduced from $0.21" }, { "item": "Translation add-on", "unit": "audio-minute", "usd": 0.0108, "note": "published as $0.65 an hour" } ], "provenance": { "legalEntity": "Cantab Research Ltd", "domain": "speechmatics.com", "domainRegistered": "2006-05-10", "endpointOnVendorDomain": true, "terms": "https://www.speechmatics.com/legal/terms-of-service", "privacy": "https://www.speechmatics.com/legal/privacy-policy", "statusPage": "https://status.speechmatics.com", "changelog": "https://speechmatics.featurebase.app/en/changelog", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Trades as Speechmatics, company number 05697423 in England and Wales. US customers contract with Speechmatics (USA) Inc., a Delaware company" ], "score": 85 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/speechmatics-stt.json", "live": { "slug": "speechmatics-stt", "probe": { "target": "https://eu1.asr.api.speechmatics.com/v2", "method": "get", "lastAt": "2026-10-10T03:07:22.181512014Z", "lastOk": true, "lastStatus": 200, "lastMs": 79, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 73, "p95ms24h": 185, "samples24h": 249, "samples30d": 2468, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "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": 32, "ok": 32 } ] }, "vendorStatus": { "page": "https://status.speechmatics.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T03:02:39.378112713Z" }, "versions": [ { "registry": "github", "name": "speechmatics/speechmatics-python-sdk", "version": "rt/v1.2.1", "released": "2026-10-05", "seenAt": "2026-10-09T17:21:19.573197737Z" }, { "registry": "npm", "name": "@speechmatics/batch-client", "version": "5.4.2", "seenAt": "2026-10-09T17:21:15.241924919Z" }, { "registry": "npm", "name": "@speechmatics/real-time-client", "version": "8.5.1", "seenAt": "2026-10-09T17:21:16.117352264Z" }, { "registry": "pypi", "name": "speechmatics-batch", "version": "1.1.0", "released": "2026-10-02", "seenAt": "2026-10-09T17:21:17.489135668Z" }, { "registry": "pypi", "name": "speechmatics-rt", "version": "1.2.1", "released": "2026-10-05", "seenAt": "2026-10-09T17:21:17.680413296Z" } ], "githubStars": 20, "npmWeekly": 21097, "pypiWeekly": 16435, "securityTxt": { "url": "https://speechmatics.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:39:54.389957384Z" }, "llmsTxt": { "url": "https://docs.speechmatics.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:49.844693739Z" }, "domain": { "domain": "speechmatics.com", "registered": "2006-05-10", "source": "https://rdap.verisign.com/com/v1/domain/speechmatics.com", "checkedAt": "2026-10-04T13:05:04.524690122Z" }, "pages": [ { "url": "https://speechmatics.featurebase.app/en/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:45:44.23207324Z", "changedAt": "2026-10-09T18:45:44.23207324Z", "fingerprint": "acc13ccb4f33" }, { "url": "https://www.speechmatics.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:54:33.566370746Z", "changedAt": "2026-10-06T16:17:05.219546965Z", "fingerprint": "01ed4b71fd7e" }, { "url": "https://www.speechmatics.com/legal/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:54:29.268881414Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3af3999aaeb0" }, { "url": "https://www.speechmatics.com/legal/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:54:31.42363639Z", "changedAt": "2026-10-02T15:28:24.437639084Z", "fingerprint": "33b19ec6fdcb" } ], "updatedAt": "2026-10-10T03:07:22.181512014Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Cartesia", "b": "Speechmatics", "name": "Vendor" }, { "a": "https://api.cartesia.ai", "b": "https://eu1.asr.api.speechmatics.com/v2", "name": "Hosted endpoint" }, { "a": "HTTP, websocket, Streamable HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "not published", "b": "$0.0027 per minute of audio", "name": "Price for speech-to-text" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted service under the Cartesia Terms of Service. The Python and JavaScript SDKs are Apache-2.0", "b": "MIT (SDKs)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-17", "b": "2026-09-22", "name": "Last release" }, { "a": "2024-06-14", "b": "no date given", "name": "Terms last updated" }, { "a": "2024-06-14", "b": "2026-05-27", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "134 stars", "b": "20 stars, 58k npm/wk, 48k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Cartesia Ink and Speechmatics Speech-to-Text score within a point of each other on agent readiness, 67.9 (B) and 67.1 (B). Speechmatics Speech-to-Text leads on agent ergonomics, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust.", "question": "Which is better for AI agents, Cartesia Ink or Speechmatics Speech-to-Text?" }, { "answer": "Both need an API key.", "question": "Do Cartesia Ink and Speechmatics Speech-to-Text need an API key?" }, { "answer": "Yes. Cartesia Ink has a hosted endpoint at https://api.cartesia.ai and Speechmatics Speech-to-Text at https://eu1.asr.api.speechmatics.com/v2.", "question": "Can an agent call Cartesia Ink and Speechmatics Speech-to-Text without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 89 against 65", "Maintenance \u0026 community, 85 against 75" ], "also": null, "goodFor": "Suited to voice agents that need turn detection and transcription from one model in English, French, Hindi, Japanese or Spanish, and to teams already using Cartesia text-to-speech.", "slug": "cartesia-ink-stt", "watchFor": "The terms let Cartesia train models on inputs and outputs unless otherwise agreed. Opting out is a form in the Playground's data controls" }, { "aheadOn": [ "Agent ergonomics, 80 against 74", "Security \u0026 auth, 65 against 52", "Payments \u0026 pricing, 40 against 35", "Transparency \u0026 trust, 75 against 67" ], "also": [ "Free to start without a card" ], "goodFor": "Regulated or privacy-sensitive audio, multilingual batch with Melia 1, and voice agents that want speaker-attributed turns.", "slug": "speechmatics-stt", "watchFor": "Enhanced costs $0.40 to $0.43 an hour, above most rivals" } ], "job": { "capability": "speech.stt", "name": "Speech-to-text" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-cartesia-ink-stt.json", "title": "Amazon Transcribe vs Cartesia Ink", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-cartesia-ink-stt" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-speechmatics-stt.json", "title": "Amazon Transcribe vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-cartesia-ink-stt.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Cartesia Ink", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-cartesia-ink-stt" }, { "json": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-speechmatics-stt.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-cartesia-ink-stt.json", "title": "Azure AI Speech speech-to-text vs Cartesia Ink", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-cartesia-ink-stt" }, { "json": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-speechmatics-stt.json", "title": "Azure AI Speech speech-to-text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-speechmatics-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-elevenlabs-scribe.json", "title": "Cartesia Ink vs ElevenLabs Scribe Speech to Text API", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-elevenlabs-scribe" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-gladia-stt.json", "title": "Cartesia Ink vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-gladia-stt" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-google-speech-to-text.json", "title": "Cartesia Ink vs Google Cloud Speech-to-Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-google-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-groq-speech-to-text.json", "title": "Cartesia Ink vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe.json", "title": "Cartesia Ink vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text.json", "title": "Cartesia Ink vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-rev-ai-stt.json", "title": "Cartesia Ink vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-soniox-stt.json", "title": "Cartesia Ink vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-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-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/gladia-stt-vs-speechmatics-stt.json", "title": "Gladia Speech-to-Text API + MCP vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-speechmatics-stt.json", "title": "Google Cloud Speech-to-Text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-speechmatics-stt.json", "title": "Groq Speech-to-Text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-speechmatics-stt.json", "title": "Mistral Voxtral Transcribe vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/openai-speech-to-text-vs-speechmatics-stt.json", "title": "OpenAI Speech to Text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/openai-speech-to-text-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/rev-ai-stt-vs-speechmatics-stt.json", "title": "Rev AI Speech-to-Text API vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/rev-ai-stt-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/soniox-stt-vs-speechmatics-stt.json", "title": "Soniox Speech-to-Text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/soniox-stt-vs-speechmatics-stt" } ], "scores": [ { "by": 3, "cartesia-ink-stt": 73, "edge": "cartesia-ink-stt", "key": "reliability", "name": "Reliability", "speechmatics-stt": 70, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 24, "cartesia-ink-stt": 89, "edge": "cartesia-ink-stt", "key": "schema", "name": "Schema \u0026 documentation", "speechmatics-stt": 65, "weight": 13 }, { "by": 6, "cartesia-ink-stt": 74, "edge": "speechmatics-stt", "key": "ergonomics", "name": "Agent ergonomics", "speechmatics-stt": 80, "weight": 13 }, { "by": 13, "cartesia-ink-stt": 52, "edge": "speechmatics-stt", "key": "security", "name": "Security \u0026 auth", "speechmatics-stt": 65, "weight": 14 }, { "by": 5, "cartesia-ink-stt": 35, "edge": "speechmatics-stt", "key": "payments", "name": "Payments \u0026 pricing", "speechmatics-stt": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 10, "cartesia-ink-stt": 85, "edge": "cartesia-ink-stt", "key": "maintenance", "name": "Maintenance \u0026 community", "speechmatics-stt": 75, "weight": 7 }, { "by": 8, "cartesia-ink-stt": 67, "edge": "speechmatics-stt", "key": "transparency", "name": "Transparency \u0026 trust", "speechmatics-stt": 75, "weight": 7 } ], "summary": "Cartesia Ink and Speechmatics Speech-to-Text score within a point of each other on agent readiness, 67.9 (B) and 67.1 (B). Speechmatics Speech-to-Text leads on agent ergonomics, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust. Both do speech-to-text.", "verdicts": { "cartesia-ink-stt": "Ink 2 streams transcripts with turn detection built into the model, documented by an AsyncAPI file with typed ranges and structured errors. The terms, last revised 14 June 2024, let Cartesia train on inputs and outputs unless the customer opts out, and zero data retention is an Enterprise setting. Ink 2 has no batch endpoint and no diarisation.", "speechmatics-stt": "Training is opt-in and real-time audio is not stored. Enhanced transcription costs $0.40 to $0.43 an hour." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-speechmatics-stt", "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-speechmatics-stt.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-speechmatics-stt.md", "slim": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-speechmatics-stt.min.md" }, "markdown": "Cartesia Ink and Speechmatics Speech-to-Text score within a point of each other on agent readiness, 67.9 (B) and 67.1 (B). Speechmatics Speech-to-Text leads on agent ergonomics, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust. Both do speech-to-text.\n\n- Cartesia Ink: grade B, 67.9/100, rank #238 of 950. Markdown https://www.anchorterminal.com/tools/cartesia-ink-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/cartesia-ink-stt.json\n- Speechmatics Speech-to-Text: grade B, 67.1/100, rank #262 of 950. Markdown https://www.anchorterminal.com/tools/speechmatics-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/speechmatics-stt.json\n- Best speech-to-text APIs for AI agents: https://www.anchorterminal.com/best/speech-to-text/index.md\n- All 91 stt comparisons: https://www.anchorterminal.com/compare/speech-to-text/index.md\n\n## Which one, for what\n\n### Cartesia Ink (B)\n\nGood for: Suited to voice agents that need turn detection and transcription from one model in English, French, Hindi, Japanese or Spanish, and to teams already using Cartesia text-to-speech.\n\nAhead on:\n- Schema \u0026 documentation, 89 against 65\n- Maintenance \u0026 community, 85 against 75\n\nWatch for: The terms let Cartesia train models on inputs and outputs unless otherwise agreed. Opting out is a form in the Playground's data controls\n\n### Speechmatics Speech-to-Text (B)\n\nGood for: Regulated or privacy-sensitive audio, multilingual batch with Melia 1, and voice agents that want speaker-attributed turns.\n\nAhead on:\n- Agent ergonomics, 80 against 74\n- Security \u0026 auth, 65 against 52\n- Payments \u0026 pricing, 40 against 35\n- Transparency \u0026 trust, 75 against 67\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: Enhanced costs $0.40 to $0.43 an hour, above most rivals\n\n\n## Score by category\n\n| Category | Weight | Cartesia Ink | Speechmatics Speech-to-Text | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 73 | 70 | Cartesia Ink +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 65 | Cartesia Ink +24 |\n| Agent ergonomics | 13% (16.2 this run) | 74 | 80 | Speechmatics Speech-to-Text +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 52 | 65 | Speechmatics Speech-to-Text +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | Speechmatics Speech-to-Text +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 75 | Cartesia Ink +10 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 75 | Speechmatics Speech-to-Text +8 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **67.9 · B** | **67.1 · B** | |\n\n## Facts side by side\n\n| Fact | Cartesia Ink | Speechmatics Speech-to-Text |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Cartesia | Speechmatics |\n| Hosted endpoint | `https://api.cartesia.ai` | `https://eu1.asr.api.speechmatics.com/v2` |\n| Transports | HTTP, websocket, Streamable HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| Price for speech-to-text | not published | $0.0027 per minute of audio |\n| x402 | no | no |\n| Licence | Proprietary hosted service under the Cartesia Terms of Service. The Python and JavaScript SDKs are Apache-2.0 | MIT (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-17 | 2026-09-22 |\n| Terms last updated | 2024-06-14 | no date given |\n| Privacy policy last updated | 2024-06-14 | 2026-05-27 |\n| Customer content may train models | yes, with an opt-out | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 134 stars | 20 stars, 58k npm/wk, 48k PyPI/wk |\n| Agent reviews | none | 3.5/5 (2) |\n\n## Verdicts\n\n**Cartesia Ink.** Ink 2 streams transcripts with turn detection built into the model, documented by an AsyncAPI file with typed ranges and structured errors. The terms, last revised 14 June 2024, let Cartesia train on inputs and outputs unless the customer opts out, and zero data retention is an Enterprise setting. Ink 2 has no batch endpoint and no diarisation.\n\n**Speechmatics Speech-to-Text.** Training is opt-in and real-time audio is not stored. Enhanced transcription costs $0.40 to $0.43 an hour.\n\n## Before you call either\n\n### Cartesia Ink\n\n1. Use `wss://api.cartesia.ai/stt/turns/websocket` with `model=ink-2`, `encoding`, `sample_rate` and `cartesia_version=2026-08-14`. All four are required.\n2. Send raw mono audio in chunks of about 100 ms at the speed it was spoken. Pushing a whole file into the socket can return an internal server error.\n3. Read the final text from `turn.end` only. `transcript` is cumulative within a turn, so joining `turn.update` events duplicates text.\n4. Send `{\"type\": \"close\"}` after the last audio and keep reading until the server closes the socket, or the buffered tail is lost.\n5. Check `encoding` and `sample_rate` against the source before sending. The docs say the server might not return an error when they are wrong.\n\n### Speechmatics Speech-to-Text\n\n1. Set `\"model\": \"enhanced\"` explicitly. The default is `standard`\n2. Use notifications instead of polling. Polling waits 5 seconds by default since the 23 September 2026 change, and `wait=0` turns that off\n3. Fetch batch transcripts within 7 days. After that the API returns 404 `expired`\n4. Pass a `fetch_data` URL for files over 1 GB\n5. Use `/v2/agent` with `linden-1` for live agents instead of the plain realtime path\n\n## Questions\n\n### Which is better for AI agents, Cartesia Ink or Speechmatics Speech-to-Text?\n\nCartesia Ink and Speechmatics Speech-to-Text score within a point of each other on agent readiness, 67.9 (B) and 67.1 (B). Speechmatics Speech-to-Text leads on agent ergonomics, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust.\n\n### Do Cartesia Ink and Speechmatics Speech-to-Text need an API key?\n\nBoth need an API key.\n\n### Can an agent call Cartesia Ink and Speechmatics Speech-to-Text without installing anything?\n\nYes. Cartesia Ink has a hosted endpoint at https://api.cartesia.ai and Speechmatics Speech-to-Text at https://eu1.asr.api.speechmatics.com/v2.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-speechmatics-stt.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-speechmatics-stt.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cartesia-ink-stt\", \"b\": \"speechmatics-stt\"}`. From a terminal: `anchor compare cartesia-ink-stt speechmatics-stt`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cartesia-ink-stt.json and https://www.anchorterminal.com/api/v1/tools/speechmatics-stt.json\n\n## Other comparisons with Cartesia Ink or Speechmatics Speech-to-Text\n\n- [Amazon Transcribe vs Cartesia Ink](https://www.anchorterminal.com/compare/amazon-transcribe-vs-cartesia-ink-stt.md)\n- [Amazon Transcribe vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-speechmatics-stt.md)\n- [AssemblyAI Speech-to-Text (Universal) vs Cartesia Ink](https://www.anchorterminal.com/compare/assemblyai-stt-vs-cartesia-ink-stt.md)\n- [AssemblyAI Speech-to-Text (Universal) vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-speechmatics-stt.md)\n- [Azure AI Speech speech-to-text vs Cartesia Ink](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-cartesia-ink-stt.md)\n- [Azure AI Speech speech-to-text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-speechmatics-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 ElevenLabs Scribe Speech to Text API](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-elevenlabs-scribe.md)\n- [Cartesia Ink vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-gladia-stt.md)\n- [Cartesia Ink vs Google Cloud Speech-to-Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-google-speech-to-text.md)\n- [Cartesia Ink vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-groq-speech-to-text.md)\n- [Cartesia Ink vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe.md)\n- [Cartesia Ink vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text.md)\n- [Cartesia Ink vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-rev-ai-stt.md)\n- [Cartesia Ink vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/cartesia-ink-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 Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-speechmatics-stt.md)\n- [Gladia Speech-to-Text API + MCP vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-speechmatics-stt.md)\n- [Google Cloud Speech-to-Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/google-speech-to-text-vs-speechmatics-stt.md)\n- [Groq Speech-to-Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-speechmatics-stt.md)\n- [Mistral Voxtral Transcribe vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-speechmatics-stt.md)\n- [OpenAI Speech to Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/openai-speech-to-text-vs-speechmatics-stt.md)\n- [Rev AI Speech-to-Text API vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/rev-ai-stt-vs-speechmatics-stt.md)\n- [Soniox Speech-to-Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/soniox-stt-vs-speechmatics-stt.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Cartesia Ink vs Speechmatics Speech-to-Text", "url": "" } ], "description": "Cartesia Ink and Speechmatics Speech-to-Text score within a point of each other for speech-to-text, 67.9 and 67.1 out of 100. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Cartesia Ink B 67.9", "Speechmatics Speech-to-Text B 67.1", "scores" ], "h1": "Cartesia Ink vs Speechmatics Speech-to-Text", "image": "https://www.anchorterminal.com/assets/og/compare-cartesia-ink-stt-vs-speechmatics-stt.png", "path": "/compare/cartesia-ink-stt-vs-speechmatics-stt", "published": "2026-10-01", "section": "tools", "title": "Cartesia Ink vs Speechmatics Speech-to-Text for AI agents (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-speechmatics-stt" }, "tokens": { "markdown": 2750, "slim": 730 }, "version": 1 }