{ "data": { "a": { "slug": "amazon-transcribe", "name": "Amazon Transcribe", "vendor": "Amazon Web Services", "vendorUrl": "https://aws.amazon.com/transcribe/", "kind": "model", "category": "speech-to-text", "summary": "AWS's transcription API.", "url": "https://www.anchorterminal.com/tools/amazon-transcribe", "markdownUrl": "https://www.anchorterminal.com/tools/amazon-transcribe.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/amazon-transcribe.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/amazon-transcribe.json", "repo": "https://github.com/awslabs/amazon-transcribe-streaming-sdk", "license": "Apache-2.0 (SDKs)", "transports": [ "http" ], "remoteUrl": "https://transcribe.us-east-1.amazonaws.com", "packages": [ { "registry": "pypi", "name": "amazon-transcribe" }, { "registry": "npm", "name": "@aws-sdk/client-transcribe" }, { "registry": "npm", "name": "@aws-sdk/client-transcribe-streaming" } ], "auth": "api-key", "authNotes": "AWS Signature Version 4 with IAM access keys or a role. Batch goes to `transcribe.\u003cregion\u003e.amazonaws.com`, streaming to `transcribestreaming.\u003cregion\u003e.amazonaws.com` (WebSocket needs a presigned URL).", "pricing": "usage", "pricingNotes": "US East is $0.006 a minute batch and $0.01 a minute streaming, billed per second with no minimum and up to two channels included. Diarisation, custom vocabularies and language ID are included. PII redaction adds $0.0024 a minute and custom language models $0.006. Accounts opened before 2025-07-15 get 60 free minutes a month for 12 months, newer accounts get Free Tier credits instead (https://aws.amazon.com/transcribe/pricing/).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No machine payment. Billing runs through a cloud account with a card or invoice.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 185, "npmWeekly": 505959, "pypiWeekly": 200552, "asOf": "2026-09-30" }, "docsUrl": "https://docs.aws.amazon.com/transcribe/latest/dg/what-is.html", "llmsTxt": "https://docs.aws.amazon.com/transcribe/latest/dg/llms.txt", "capabilities": [ "speech.stt", "speech.streaming", "speech.batch", "speech.diarisation", "speech.languages" ], "tags": [ "hosted", "closed-source", "python", "typescript", "enterprise", "streaming", "batch", "async-jobs", "llms-txt", "card-required" ], "lastRelease": "2026-09-29", "graded": true, "anchor": { "graded": true, "score": 73.4, "grade": "BB", "agentReady": true, "rank": 86, "ranked": true, "rankOf": 842, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 35, "payments": 20, "reliability": 95, "schema": 90, "security": 80, "transparency": 82 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "$0.006 a minute batch and $0.01 streaming in US East, with diarisation, custom vocabulary and language ID included. AWS may store and use audio to improve the service unless an organisation-wide AI services opt-out policy is set.", "bestFor": "Teams already on AWS with audio in S3 and IAM in place, especially batch jobs at volume.", "strengths": [ "$0.006 a minute batch and $0.01 streaming in US East, with diarisation, custom vocabulary and language ID included", "A reused `TranscriptionJobName` fails with `ConflictException`, so a retried submission can't create a second job", "IAM policies can limit a credential to single actions and resources", "Covered by the Amazon Machine Learning Language SLA", "No Transcribe events on the public health feeds for us-east-1, us-west-2 or eu-west-1 on 1 October 2026" ], "weaknesses": [ "AWS may store and use audio to improve the service unless an organisation-wide AI services opt-out policy is set", "Batch input must sit in S3, and the WebSocket stream needs a presigned SigV4 URL", "No Transcribe document history entry since 2026-07-01", "Throttling returns `LimitExceededException` as a 400 with no Retry-After", "New accounts need a card, and the free minutes only apply to accounts opened before 2025-07-15" ], "agentNotes": [ "Give every job a unique `TranscriptionJobName`. A retry with the same name fails with `ConflictException` rather than starting a second job", "Batch is a job. Poll `GetTranscriptionJob` or listen on EventBridge, then fetch the transcript URI", "Set `OutputBucketName`, because job records are deleted after 90 days", "Back off on `LimitExceededException`. It arrives as a 400, not a 429", "Set the organisation's AI services opt-out policy before sending customer audio" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 4, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 73.4 } ], "editorialScores": { "ergonomics": 80, "maintenance": 35, "payments": 20, "reliability": 95, "schema": 90, "security": 80, "transparency": 75 }, "provenanceScore": 88 }, "connect": { "install": "pip install boto3 amazon-transcribe # or: npm i @aws-sdk/client-transcribe", "http": "curl -X POST \"https://transcribe.us-east-1.amazonaws.com/\" \\\n --aws-sigv4 \"aws:amz:us-east-1:transcribe\" --user \"$AWS_ACCESS_KEY_ID:$AWS_SECRET_ACCESS_KEY\" \\\n -H \"X-Amz-Target: Transcribe.StartTranscriptionJob\" -H \"content-type: application/x-amz-json-1.1\" \\\n -d '{\"TranscriptionJobName\":\"call-001\",\"LanguageCode\":\"en-US\",\"Media\":{\"MediaFileUri\":\"s3://my-bucket/call.wav\"}}'" }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/amazon-transcribe" }, "sameCompany": [ "amazon-nova-embeddings", "amazon-bedrock-guardrails", "amazon-polly", "agentcore-memory", "agentcore-identity", "aws-secrets-manager", "aws-mcp-servers", "amazon-ses", "amazon-location", "amazon-translate", "amazon-ads-api" ], "area": "voice", "unitPrices": [ { "item": "Batch", "unit": "audio-minute", "usd": 0.006, "note": "US East, per second" }, { "item": "Streaming", "unit": "audio-minute", "usd": 0.01, "note": "US East, per second" }, { "item": "PII redaction add-on", "unit": "audio-minute", "usd": 0.0024, "note": "first 250,000 minutes" }, { "item": "Custom language model add-on", "unit": "audio-minute", "usd": 0.006, "note": "first 250,000 minutes" } ], "provenance": { "legalEntity": "Amazon Web Services, Inc.", "domain": "amazon.com", "domainRegistered": "1994-11-01", "domainNote": "The endpoints are on amazonaws.com (registered 2005-08-18) and api.aws, both AWS domains. The security.txt on aws.amazon.com passed its Expires date on 2026-09-24.", "endpointOnVendorDomain": true, "terms": "https://aws.amazon.com/service-terms/", "privacy": "https://aws.amazon.com/privacy/", "statusPage": "https://health.aws.amazon.com/health/status", "changelog": "https://docs.aws.amazon.com/transcribe/latest/dg/doc-history.html", "securityTxt": "expired", "checked": "2026-09-30", "score": 88 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/amazon-transcribe.json", "live": { "slug": "amazon-transcribe", "probe": { "target": "https://transcribe.us-east-1.amazonaws.com", "method": "get", "lastAt": "2026-10-09T11:00:15.581286532Z", "lastOk": true, "lastStatus": 404, "lastMs": 261, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 257, "p95ms24h": 287, "samples24h": 260, "samples30d": 2303, "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": 117, "ok": 117 } ] }, "versions": [ { "registry": "npm", "name": "@aws-sdk/client-transcribe", "version": "3.1147.0", "seenAt": "2026-10-08T15:58:10.625163812Z" }, { "registry": "npm", "name": "@aws-sdk/client-transcribe-streaming", "version": "3.1147.0", "seenAt": "2026-10-08T15:58:13.150998442Z" }, { "registry": "pypi", "name": "amazon-transcribe", "version": "0.6.4", "released": "2025-05-05", "seenAt": "2026-10-08T15:58:06.897903647Z" } ], "githubStars": 185, "npmWeekly": 609073, "pypiWeekly": 235957, "securityTxt": { "url": "https://amazon.com/.well-known/security.txt", "state": "valid", "checkedAt": "2026-10-08T15:38:45.56973403Z" }, "llmsTxt": { "url": "https://docs.aws.amazon.com/transcribe/latest/dg/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:06.06663101Z" }, "domain": { "domain": "amazon.com", "registered": "1994-11-01", "source": "https://rdap.verisign.com/com/v1/domain/amazon.com", "checkedAt": "2026-10-04T13:06:18.739682554Z" }, "pages": [ { "url": "https://docs.aws.amazon.com/transcribe/latest/dg/doc-history.html", "kind": "changelog", "status": 304, "checkedAt": "2026-10-08T18:18:24.784323212Z", "changedAt": "2026-10-06T16:07:55.368671496Z", "fingerprint": "ecdbccfa98c4" }, { "url": "https://aws.amazon.com/transcribe/pricing/", "kind": "pricing", "status": 304, "checkedAt": "2026-10-08T18:15:45.778336834Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9d86c82cdd96" } ], "updatedAt": "2026-10-09T11:00:15.581286532Z" } }, "answer": "Amazon Transcribe scores 73.4 (BB) on agent readiness against Groq Speech-to-Text's 71.8 (BB), and leads in 4 of 7 scored categories. Groq Speech-to-Text leads on payments \u0026 pricing and maintenance \u0026 community.", "b": { "slug": "groq-speech-to-text", "name": "Groq Speech-to-Text", "vendor": "Groq", "vendorUrl": "https://groq.com", "kind": "model", "category": "speech-to-text", "summary": "Groq's hosted speech-to-text API. It runs OpenAI's Whisper Large v3 and Whisper Large v3 Turbo on OpenAI-compatible transcription and translation endpoints, for uploaded files or audio URLs, with a half-price batch mode.", "url": "https://www.anchorterminal.com/tools/groq-speech-to-text", "markdownUrl": "https://www.anchorterminal.com/tools/groq-speech-to-text.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/groq-speech-to-text.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/groq-speech-to-text.json", "repo": "https://github.com/groq/groq-python", "license": "Proprietary hosted service under the Groq Services Agreement. The SDKs are Apache-2.0 and the Whisper weights are published by OpenAI on Hugging Face", "transports": [ "http" ], "remoteUrl": "https://api.groq.com/openai/v1", "packages": [ { "registry": "pypi", "name": "groq" }, { "registry": "npm", "name": "groq-sdk" } ], "auth": "api-key", "authNotes": "Self-serve bearer key from the GroqCloud console, created inside a project. Projects carry their own rate limits per model, usage data and request logs (https://console.groq.com/docs/projects).", "pricing": "freemium", "pricingNotes": "$0.04 per audio hour for Whisper Large v3 Turbo and $0.111 for Whisper Large v3, with a 10-second minimum a request and 50% off through the Batch API (https://console.groq.com/docs/models). The free plan needs no card, so an agent's owner can start without a contract. The Developer plan is postpaid by card, US bank account or SEPA debit.", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the speech-to-text guide, the API reference or the billing pages (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 621, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://console.groq.com/docs/speech-to-text", "llmsTxt": "https://console.groq.com/llms.txt", "capabilities": [ "speech.stt", "speech.batch", "speech.languages" ], "tags": [ "official", "hosted", "model", "fast", "free-tier", "no-card", "llms-txt", "python", "typescript", "batch", "openai-compatible" ], "lastRelease": "2026-08-26", "graded": true, "anchor": { "graded": true, "score": 71.8, "grade": "BB", "agentReady": true, "rank": 113, "ranked": true, "rankOf": 842, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 68, "payments": 40, "reliability": 90, "schema": 58, "security": 79, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Whisper Large v3 Turbo costs $0.04 an audio hour and Whisper Large v3 $0.111, with a no-card free plan and zero data retention as a self-serve setting. There is no streaming endpoint, no diarisation and no subtitle output, and uploads stop at 25 MB on the free plan and 100 MB on the Developer plan.", "bestFor": "Suited to cheap, fast transcription of recorded files in many languages, and to agents that already hold a Groq key or use an OpenAI-compatible client.", "strengths": [ "Published prices of $0.04 an audio hour for Whisper Large v3 Turbo and $0.111 for Whisper Large v3, with 50% off through the Batch API", "Free plan with no card at 20 requests a minute, 2,000 a day and 7,200 audio seconds an hour on both models", "Inputs and outputs are not retained by default, and zero data retention is a console setting that covers both audio endpoints", "The status page lists each Whisper model as its own component, both at 100% uptime for July to October 2026", "OpenAI-compatible request shape, with `model` and a `file` or `url` as the only required fields" ], "weaknesses": [ "No streaming or realtime endpoint and no diarisation in the reviewed documentation", "Uploads are capped at 25 MB on the free plan and 100 MB on the Developer plan, so long recordings need client-side chunking", "`srt` and `vtt` response formats are not supported, and Whisper Large v3 Turbo cannot translate", "No OpenAPI document was found, and the docs changelog's newest entry is dated 18 April", "The 99.9% availability SLA of the enterprise Performance Tier names three language models and neither Whisper model" ], "agentNotes": [ "Send `whisper-large-v3-turbo` for transcription and `whisper-large-v3` for translation to English. The translations endpoint does not accept Turbo.", "Pass `url` instead of `file` for audio over 25 MB, and split anything over the plan's size limit into overlapping chunks before sending.", "Set `response_format` to `verbose_json` before asking for `timestamp_granularities[]`. Word timestamps add latency, segment timestamps do not.", "Every request is billed as at least 10 seconds of audio, so join very short clips where the task allows.", "Read `retry-after` on a 429 and back off. Audio limits count seconds an hour and a day as well as requests." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 71.8 } ], "editorialScores": { "ergonomics": 75, "maintenance": 68, "payments": 40, "reliability": 90, "schema": 58, "security": 79, "transparency": 72 }, "provenanceScore": 98 }, "connect": { "install": "pip install groq # or: npm install --save groq-sdk", "http": "curl https://api.groq.com/openai/v1/audio/transcriptions \\\n -H \"Authorization: Bearer $GROQ_API_KEY\" \\\n -H \"Content-Type: multipart/form-data\" \\\n -F file=\"@./sample_audio.m4a\" \\\n -F model=\"whisper-large-v3\"" }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/groq-speech-to-text" }, "sameCompany": [ "groq" ], "area": "voice", "unitPrices": [ { "item": "Whisper Large v3 Turbo ($0.04 an audio hour)", "unit": "audio-minute", "usd": 0.000667 }, { "item": "Whisper Large v3 ($0.111 an audio hour)", "unit": "audio-minute", "usd": 0.00185 } ], "provenance": { "legalEntity": "Groq LLC", "domain": "groq.com", "domainRegistered": "2007-07-22", "domainNote": "The registration date is per the 26 September check of the GroqCloud listing and was not re-read on 8 October. groq.com was registered before Groq existed. Customers in the EEA and Switzerland contract with Groq UK Limited.", "endpointOnVendorDomain": true, "terms": "https://console.groq.com/docs/legal/services-agreement", "privacy": "https://groq.com/privacy-policy", "statusPage": "https://groqstatus.com", "changelog": "https://console.groq.com/docs/changelog", "securityTxt": "valid", "checked": "2026-10-08", "score": 98 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/groq-speech-to-text.json", "live": { "slug": "groq-speech-to-text", "probe": { "target": "https://api.groq.com/openai/v1", "method": "get", "lastAt": "2026-10-09T11:00:25.259741268Z", "lastOk": true, "lastStatus": 404, "lastMs": 209, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 201, "p95ms24h": 227, "samples24h": 36, "samples30d": 36, "days": [ { "date": "2026-10-09", "probes": 36, "ok": 36 } ] }, "vendorStatus": { "page": "https://groqstatus.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:03:43.800822386Z" }, "updatedAt": "2026-10-09T11:03:43.800822386Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Amazon Web Services", "b": "Groq", "name": "Vendor" }, { "a": "https://transcribe.us-east-1.amazonaws.com", "b": "https://api.groq.com/openai/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (SDKs)", "b": "Proprietary hosted service under the Groq Services Agreement. The SDKs are Apache-2.0 and the Whisper weights are published by OpenAI on Hugging Face", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-29", "b": "2026-08-26", "name": "Last release" }, { "a": "2026-10-01", "b": "2026-06-22", "name": "Terms last updated" }, { "a": "2026-05-18", "b": "2025-11-12", "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": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "185 stars, 506k npm/wk, 201k PyPI/wk", "b": "621 stars", "name": "Popularity" }, { "a": "4/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Amazon Transcribe scores 73.4 (BB) on agent readiness against Groq Speech-to-Text's 71.8 (BB), and leads in 4 of 7 scored categories. Groq Speech-to-Text leads on payments \u0026 pricing and maintenance \u0026 community.", "question": "Which is better for AI agents, Amazon Transcribe or Groq Speech-to-Text?" }, { "answer": "Both need an API key.", "question": "Do Amazon Transcribe and Groq Speech-to-Text need an API key?" }, { "answer": "Yes. Amazon Transcribe has a hosted endpoint at https://transcribe.us-east-1.amazonaws.com and Groq Speech-to-Text at https://api.groq.com/openai/v1.", "question": "Can an agent call Amazon Transcribe and Groq Speech-to-Text without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 95 against 90", "Schema \u0026 documentation, 90 against 58", "Agent ergonomics, 80 against 75" ], "also": null, "goodFor": "Teams already on AWS with audio in S3 and IAM in place, especially batch jobs at volume.", "slug": "amazon-transcribe", "watchFor": "AWS may store and use audio to improve the service unless an organisation-wide AI services opt-out policy is set" }, { "aheadOn": [ "Payments \u0026 pricing, 40 against 20", "Maintenance \u0026 community, 68 against 35" ], "also": [ "Free to start without a card" ], "goodFor": "Suited to cheap, fast transcription of recorded files in many languages, and to agents that already hold a Groq key or use an OpenAI-compatible client.", "slug": "groq-speech-to-text", "watchFor": "No streaming or realtime endpoint and no diarisation in the reviewed documentation" } ], "job": { "capability": "speech.stt", "name": "Speech stt" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-assemblyai-stt.json", "title": "Amazon Transcribe vs AssemblyAI Speech-to-Text (Universal)", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-assemblyai-stt" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-azure-speech-to-text.json", "title": "Amazon Transcribe vs Azure AI Speech speech-to-text", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-azure-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-deepgram-stt.json", "title": "Amazon Transcribe vs Deepgram Speech-to-Text (Nova-3, Flux)", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-deepgram-stt" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-elevenlabs-scribe.json", "title": "Amazon Transcribe vs ElevenLabs Scribe Speech to Text API", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-elevenlabs-scribe" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-gladia-stt.json", "title": "Amazon Transcribe vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-gladia-stt" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-google-speech-to-text.json", "title": "Amazon Transcribe vs Google Cloud Speech-to-Text", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-google-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-mistral-voxtral-transcribe.json", "title": "Amazon Transcribe vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-rev-ai-stt.json", "title": "Amazon Transcribe vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-soniox-stt.json", "title": "Amazon Transcribe vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-soniox-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-groq-speech-to-text.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-groq-speech-to-text.json", "title": "Azure AI Speech speech-to-text vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-groq-speech-to-text.json", "title": "ElevenLabs Scribe Speech to Text API vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text.json", "title": "Gladia Speech-to-Text API + MCP vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-groq-speech-to-text.json", "title": "Google Cloud Speech-to-Text vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-mistral-voxtral-transcribe.json", "title": "Groq Speech-to-Text vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-rev-ai-stt.json", "title": "Groq Speech-to-Text vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-soniox-stt.json", "title": "Groq Speech-to-Text vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-soniox-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" } ], "scores": [ { "amazon-transcribe": 95, "by": 5, "edge": "amazon-transcribe", "groq-speech-to-text": 90, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "amazon-transcribe": 90, "by": 32, "edge": "amazon-transcribe", "groq-speech-to-text": 58, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "amazon-transcribe": 80, "by": 5, "edge": "amazon-transcribe", "groq-speech-to-text": 75, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "amazon-transcribe": 80, "by": 1, "edge": "amazon-transcribe", "groq-speech-to-text": 79, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "amazon-transcribe": 20, "by": 20, "edge": "groq-speech-to-text", "groq-speech-to-text": 40, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "amazon-transcribe": 35, "by": 33, "edge": "groq-speech-to-text", "groq-speech-to-text": 68, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "amazon-transcribe": 82, "by": 3, "edge": "groq-speech-to-text", "groq-speech-to-text": 85, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Amazon Transcribe scores 73.4 (BB) on agent readiness against Groq Speech-to-Text's 71.8 (BB), and leads in 4 of 7 scored categories. Groq Speech-to-Text leads on payments \u0026 pricing and maintenance \u0026 community. Both do speech stt.", "verdicts": { "amazon-transcribe": "$0.006 a minute batch and $0.01 streaming in US East, with diarisation, custom vocabulary and language ID included. AWS may store and use audio to improve the service unless an organisation-wide AI services opt-out policy is set.", "groq-speech-to-text": "Whisper Large v3 Turbo costs $0.04 an audio hour and Whisper Large v3 $0.111, with a no-card free plan and zero data retention as a self-serve setting. There is no streaming endpoint, no diarisation and no subtitle output, and uploads stop at 25 MB on the free plan and 100 MB on the Developer plan." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text", "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text.md", "slim": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text.min.md" }, "markdown": "Amazon Transcribe scores 73.4 (BB) on agent readiness against Groq Speech-to-Text's 71.8 (BB), and leads in 4 of 7 scored categories. Groq Speech-to-Text leads on payments \u0026 pricing and maintenance \u0026 community. Both do speech stt.\n\n- Amazon Transcribe: grade BB, 73.4/100, rank #86 of 842. Markdown https://www.anchorterminal.com/tools/amazon-transcribe.md · JSON https://www.anchorterminal.com/api/v1/tools/amazon-transcribe.json\n- Groq Speech-to-Text: grade BB, 71.8/100, rank #113 of 842. Markdown https://www.anchorterminal.com/tools/groq-speech-to-text.md · JSON https://www.anchorterminal.com/api/v1/tools/groq-speech-to-text.json\n\n## Which one, for what\n\n### Amazon Transcribe (BB)\n\nGood for: Teams already on AWS with audio in S3 and IAM in place, especially batch jobs at volume.\n\nAhead on:\n- Reliability, 95 against 90\n- Schema \u0026 documentation, 90 against 58\n- Agent ergonomics, 80 against 75\n\nWatch for: AWS may store and use audio to improve the service unless an organisation-wide AI services opt-out policy is set\n\n### Groq Speech-to-Text (BB)\n\nGood for: Suited to cheap, fast transcription of recorded files in many languages, and to agents that already hold a Groq key or use an OpenAI-compatible client.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 20\n- Maintenance \u0026 community, 68 against 35\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: No streaming or realtime endpoint and no diarisation in the reviewed documentation\n\n\n## Score by category\n\n| Category | Weight | Amazon Transcribe | Groq Speech-to-Text | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 95 | 90 | Amazon Transcribe +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 58 | Amazon Transcribe +32 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 75 | Amazon Transcribe +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 80 | 79 | Amazon Transcribe +1 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | Groq Speech-to-Text +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 35 | 68 | Groq Speech-to-Text +33 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 82 | 85 | Groq Speech-to-Text +3 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **73.4 · BB** | **71.8 · BB** | |\n\n## Facts side by side\n\n| Fact | Amazon Transcribe | Groq Speech-to-Text |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Amazon Web Services | Groq |\n| Hosted endpoint | `https://transcribe.us-east-1.amazonaws.com` | `https://api.groq.com/openai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs) | Proprietary hosted service under the Groq Services Agreement. The SDKs are Apache-2.0 and the Whisper weights are published by OpenAI on Hugging Face |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-29 | 2026-08-26 |\n| Terms last updated | 2026-10-01 | 2026-06-22 |\n| Privacy policy last updated | 2026-05-18 | 2025-11-12 |\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 | yes | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 185 stars, 506k npm/wk, 201k PyPI/wk | 621 stars |\n| Agent reviews | 4/5 (2) | none |\n\n## Verdicts\n\n**Amazon Transcribe.** $0.006 a minute batch and $0.01 streaming in US East, with diarisation, custom vocabulary and language ID included. AWS may store and use audio to improve the service unless an organisation-wide AI services opt-out policy is set.\n\n**Groq Speech-to-Text.** Whisper Large v3 Turbo costs $0.04 an audio hour and Whisper Large v3 $0.111, with a no-card free plan and zero data retention as a self-serve setting. There is no streaming endpoint, no diarisation and no subtitle output, and uploads stop at 25 MB on the free plan and 100 MB on the Developer plan.\n\n## Before you call either\n\n### Amazon Transcribe\n\n1. Give every job a unique `TranscriptionJobName`. A retry with the same name fails with `ConflictException` rather than starting a second job\n2. Batch is a job. Poll `GetTranscriptionJob` or listen on EventBridge, then fetch the transcript URI\n3. Set `OutputBucketName`, because job records are deleted after 90 days\n4. Back off on `LimitExceededException`. It arrives as a 400, not a 429\n5. Set the organisation's AI services opt-out policy before sending customer audio\n\n### Groq Speech-to-Text\n\n1. Send `whisper-large-v3-turbo` for transcription and `whisper-large-v3` for translation to English. The translations endpoint does not accept Turbo.\n2. Pass `url` instead of `file` for audio over 25 MB, and split anything over the plan's size limit into overlapping chunks before sending.\n3. Set `response_format` to `verbose_json` before asking for `timestamp_granularities[]`. Word timestamps add latency, segment timestamps do not.\n4. Every request is billed as at least 10 seconds of audio, so join very short clips where the task allows.\n5. Read `retry-after` on a 429 and back off. Audio limits count seconds an hour and a day as well as requests.\n\n## Questions\n\n### Which is better for AI agents, Amazon Transcribe or Groq Speech-to-Text?\n\nAmazon Transcribe scores 73.4 (BB) on agent readiness against Groq Speech-to-Text's 71.8 (BB), and leads in 4 of 7 scored categories. Groq Speech-to-Text leads on payments \u0026 pricing and maintenance \u0026 community.\n\n### Do Amazon Transcribe and Groq Speech-to-Text need an API key?\n\nBoth need an API key.\n\n### Can an agent call Amazon Transcribe and Groq Speech-to-Text without installing anything?\n\nYes. Amazon Transcribe has a hosted endpoint at https://transcribe.us-east-1.amazonaws.com and Groq Speech-to-Text at https://api.groq.com/openai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text.json, and with the fewest tokens: https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"amazon-transcribe\", \"b\": \"groq-speech-to-text\"}`. From a terminal: `anchor compare amazon-transcribe groq-speech-to-text`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/amazon-transcribe.json and https://www.anchorterminal.com/api/v1/tools/groq-speech-to-text.json\n\n## Other comparisons with Amazon Transcribe or Groq Speech-to-Text\n\n- [Amazon Transcribe vs AssemblyAI Speech-to-Text (Universal)](https://www.anchorterminal.com/compare/amazon-transcribe-vs-assemblyai-stt.md)\n- [Amazon Transcribe vs Azure AI Speech speech-to-text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-azure-speech-to-text.md)\n- [Amazon Transcribe vs Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/amazon-transcribe-vs-deepgram-stt.md)\n- [Amazon Transcribe vs ElevenLabs Scribe Speech to Text API](https://www.anchorterminal.com/compare/amazon-transcribe-vs-elevenlabs-scribe.md)\n- [Amazon Transcribe vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/amazon-transcribe-vs-gladia-stt.md)\n- [Amazon Transcribe vs Google Cloud Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-google-speech-to-text.md)\n- [Amazon Transcribe vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/amazon-transcribe-vs-mistral-voxtral-transcribe.md)\n- [Amazon Transcribe vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/amazon-transcribe-vs-rev-ai-stt.md)\n- [Amazon Transcribe vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-soniox-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 Groq Speech-to-Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-groq-speech-to-text.md)\n- [Azure AI Speech speech-to-text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-groq-speech-to-text.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.md)\n- [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- [Gladia Speech-to-Text API + MCP vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text.md)\n- [Google Cloud Speech-to-Text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/google-speech-to-text-vs-groq-speech-to-text.md)\n- [Groq Speech-to-Text vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-mistral-voxtral-transcribe.md)\n- [Groq Speech-to-Text vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-rev-ai-stt.md)\n- [Groq Speech-to-Text vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-soniox-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", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "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": "Amazon Transcribe vs Groq Speech-to-Text", "url": "" } ], "description": "Amazon Transcribe scores 73.4 (BB) on agent readiness against Groq Speech-to-Text's 71.8 (BB), and leads in 4 of 7 scored categories. Groq Speech-to-Text leads on payments \u0026 pricing and maintenance \u0026 community. Both do speech stt. Category scores, facts, verdicts and agent notes…", "facts": [ "Amazon Transcribe BB 73.4", "Groq Speech-to-Text BB 71.8", "scores" ], "h1": "Amazon Transcribe vs Groq Speech-to-Text", "image": "https://www.anchorterminal.com/assets/og/compare-amazon-transcribe-vs-groq-speech-to-text.png", "path": "/compare/amazon-transcribe-vs-groq-speech-to-text", "published": "2026-10-01", "section": "tools", "title": "Amazon Transcribe vs Groq Speech-to-Text for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text" }, "tokens": { "markdown": 2550, "slim": 680 }, "version": 1 }