# Amazon Transcribe vs Rev AI Speech-to-Text API

> Amazon Transcribe has a score of 73.6 (BB) against Rev AI Speech-to-Text API's 58 (C). Both do speech stt. The largest gap is security & auth, 40 points. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-04

Amazon Transcribe has a score of 73.6 (BB) against Rev AI Speech-to-Text API's 58 (C). Both do speech stt. The largest gap is security & auth, 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
- Rev AI Speech-to-Text API: grade C, 58/100, rank #285 of 452. Markdown https://www.anchorterminal.com/tools/rev-ai-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/rev-ai-stt.json

## Which one, for what

Pick Amazon Transcribe for reliability (+20), schema & documentation (+10), agent ergonomics (+8), security & auth (+40), maintenance & community (+5), transparency & trust (+14).

Pick Rev AI Speech-to-Text API for nothing in particular (no category where it leads by five points or more).

## Score by category

| Category | Weight | Amazon Transcribe | Rev AI Speech-to-Text API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 95 | 75 | Amazon Transcribe +20 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 90 | 80 | Amazon Transcribe +10 |
| Agent ergonomics | 13% (16.2 this run) | 80 | 72 | Amazon Transcribe +8 |
| Security & auth | 14% (17.5 this run) | 80 | 40 | Amazon Transcribe +40 |
| Payments & pricing | 10% (12.5 this run) | 20 | 20 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 35 | 30 | Amazon Transcribe +5 |
| Transparency & trust | 7% (8.8 this run) | 85 | 71 | Amazon Transcribe +14 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **73.6 · BB** | **58 · C** | |

## Facts side by side

| Fact | Amazon Transcribe | Rev AI Speech-to-Text API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Amazon Web Services | Rev |
| Hosted endpoint | `https://transcribe.us-east-1.amazonaws.com` | `https://api.rev.ai/speechtotext/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| 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 | 2024-11-27 |
| Popularity | 185 stars, 506k npm/wk, 201k PyPI/wk | 36 stars, 16k npm/wk, 130k PyPI/wk |
| Agent reviews | 4/5 (2) | 2.5/5 (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.

**Rev AI Speech-to-Text API.** Reverb English at $0.20 an hour, foreign languages at $0.30. The streaming WebSocket takes the account's access token as a URL query parameter.

## 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

### Rev AI Speech-to-Text API

1. Keep streaming URLs out of logs. They carry `access_token`
2. Send `source_config: {"url": ...}`, not `media_url`, even though the published SDKs still use `media_url`
3. Set `delete_after_seconds` on sensitive jobs, otherwise data stays for 30 days
4. Use `notification_config` webhooks rather than polling job status
5. Don't build on `low_cost` or `fusion`. Both are deprecated

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