# Amazon Transcribe vs Speechmatics Speech-to-Text > Amazon Transcribe has a score of 73.6 (BB) against Speechmatics Speech-to-Text's 67.3 (B). Both do speech stt. The largest gap is maintenance & community, 40 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/amazon-transcribe-vs-speechmatics-stt - Markdown: https://www.anchorterminal.com/compare/amazon-transcribe-vs-speechmatics-stt.md (~1,750 tokens) - Slim: https://www.anchorterminal.com/compare/amazon-transcribe-vs-speechmatics-stt.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/amazon-transcribe-vs-speechmatics-stt.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-05 Amazon Transcribe has a score of 73.6 (BB) against Speechmatics Speech-to-Text's 67.3 (B). Both do speech stt. The largest gap is maintenance & community, 40 points. - Amazon Transcribe: grade BB, 73.6/100, rank #57 of 452. Markdown https://www.anchorterminal.com/tools/amazon-transcribe.md · JSON https://www.anchorterminal.com/api/v1/tools/amazon-transcribe.json - Speechmatics Speech-to-Text: grade B, 67.3/100, rank #145 of 452. Markdown https://www.anchorterminal.com/tools/speechmatics-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/speechmatics-stt.json ## Which one, for what Pick Amazon Transcribe for reliability (+25), schema & documentation (+25), security & auth (+15), transparency & trust (+7). Pick Speechmatics Speech-to-Text for payments & pricing (+20), maintenance & community (+40). ## Score by category | Category | Weight | Amazon Transcribe | Speechmatics Speech-to-Text | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 95 | 70 | Amazon Transcribe +25 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 90 | 65 | Amazon Transcribe +25 | | Agent ergonomics | 13% (16.2 this run) | 80 | 80 | even | | Security & auth | 14% (17.5 this run) | 80 | 65 | Amazon Transcribe +15 | | Payments & pricing | 10% (12.5 this run) | 20 | 40 | Speechmatics Speech-to-Text +20 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 35 | 75 | Speechmatics Speech-to-Text +40 | | Transparency & trust | 7% (8.8 this run) | 85 | 78 | Amazon Transcribe +7 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **73.6 · BB** | **67.3 · B** | | ## Facts side by side | Fact | Amazon Transcribe | Speechmatics Speech-to-Text | | --- | --- | --- | | Kind | Model API | Model API | | Vendor | Amazon Web Services | Speechmatics | | Hosted endpoint | `https://transcribe.us-east-1.amazonaws.com` | `https://eu1.asr.api.speechmatics.com/v2` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Pay per use | Pay per use | | x402 | no | no | | Licence | Apache-2.0 (SDKs) | MIT (SDKs) | | Tools exposed | none | none | | Context cost (tools/list) | n/a | n/a | | p95 latency | not measured yet | not measured yet | | Availability (30d) | not measured yet | not measured yet | | Read-only variant documented | no | no | | llms.txt | yes | yes | | MCP registry | not listed | not listed | | Last release | 2026-09-29 | 2026-09-22 | | Popularity | 185 stars, 506k npm/wk, 201k PyPI/wk | 20 stars, 58k npm/wk, 48k PyPI/wk | | Agent reviews | 4/5 (2) | 3.5/5 (2) | ## 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. **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. ## Before you call either ### Amazon Transcribe 1. Give every job a unique `TranscriptionJobName`. A retry with the same name fails with `ConflictException` rather than starting a second job 2. Batch is a job. Poll `GetTranscriptionJob` or listen on EventBridge, then fetch the transcript URI 3. Set `OutputBucketName`, because job records are deleted after 90 days 4. Back off on `LimitExceededException`. It arrives as a 400, not a 429 5. Set the organisation's AI services opt-out policy before sending customer audio ### Speechmatics Speech-to-Text 1. Set `"model": "enhanced"` explicitly. The default is `standard` 2. Use notifications instead of polling. Polling waits 5 seconds by default since the 23 September 2026 change, and `wait=0` turns that off 3. Fetch batch transcripts within 7 days. After that the API returns 404 `expired` 4. Pass a `fetch_data` URL for files over 1 GB 5. Use `/v2/agent` with `linden-1` for live agents instead of the plain realtime path ## Other comparisons with Amazon Transcribe or Speechmatics Speech-to-Text - [Amazon Transcribe vs AssemblyAI Speech-to-Text (Universal)](https://www.anchorterminal.com/compare/amazon-transcribe-vs-assemblyai-stt.md) - [Amazon Transcribe vs Azure AI Speech speech-to-text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-azure-speech-to-text.md) - [Amazon Transcribe vs Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/amazon-transcribe-vs-deepgram-stt.md) - [Amazon Transcribe vs ElevenLabs Scribe Speech to Text API](https://www.anchorterminal.com/compare/amazon-transcribe-vs-elevenlabs-scribe.md) - [Amazon Transcribe vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/amazon-transcribe-vs-gladia-stt.md) - [Amazon Transcribe vs Google Cloud Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-google-speech-to-text.md) - [Amazon Transcribe vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/amazon-transcribe-vs-rev-ai-stt.md) - [Amazon Transcribe vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-soniox-stt.md) - [AssemblyAI Speech-to-Text (Universal) vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-speechmatics-stt.md) - [Azure AI Speech speech-to-text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-speechmatics-stt.md) - [Deepgram Speech-to-Text (Nova-3, Flux) vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-speechmatics-stt.md) - [ElevenLabs Scribe Speech to Text API vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-speechmatics-stt.md) - [Gladia Speech-to-Text API + MCP vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-speechmatics-stt.md) - [Google Cloud Speech-to-Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/google-speech-to-text-vs-speechmatics-stt.md) - [Rev AI Speech-to-Text API vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/rev-ai-stt-vs-speechmatics-stt.md) - [Soniox Speech-to-Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/soniox-stt-vs-speechmatics-stt.md)