# Azure AI Speech speech-to-text vs Rev AI Speech-to-Text API > Azure AI Speech speech-to-text has a score of 77 (BB) against Rev AI Speech-to-Text API's 58 (C). Both do speech stt. The largest gap is security & auth, 55 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/azure-speech-to-text-vs-rev-ai-stt - Markdown: https://www.anchorterminal.com/compare/azure-speech-to-text-vs-rev-ai-stt.md (~1,800 tokens) - Slim: https://www.anchorterminal.com/compare/azure-speech-to-text-vs-rev-ai-stt.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/azure-speech-to-text-vs-rev-ai-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: 2026-10-04 Azure AI Speech speech-to-text has a score of 77 (BB) against Rev AI Speech-to-Text API's 58 (C). Both do speech stt. The largest gap is security & auth, 55 points. - Azure AI Speech speech-to-text: grade BB, 77/100, rank #23 of 452. Markdown https://www.anchorterminal.com/tools/azure-speech-to-text.md · JSON https://www.anchorterminal.com/api/v1/tools/azure-speech-to-text.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 Azure AI Speech speech-to-text for reliability (+15), security & auth (+55), maintenance & community (+50), transparency & trust (+17). 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 | Azure AI Speech speech-to-text | Rev AI Speech-to-Text API | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 90 | 75 | Azure AI Speech speech-to-text +15 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 80 | 80 | even | | Agent ergonomics | 13% (16.2 this run) | 75 | 72 | Azure AI Speech speech-to-text +3 | | Security & auth | 14% (17.5 this run) | 95 | 40 | Azure AI Speech speech-to-text +55 | | 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) | 80 | 30 | Azure AI Speech speech-to-text +50 | | Transparency & trust | 7% (8.8 this run) | 88 | 71 | Azure AI Speech speech-to-text +17 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **77 · BB** | **58 · C** | | ## Facts side by side | Fact | Azure AI Speech speech-to-text | Rev AI Speech-to-Text API | | --- | --- | --- | | Kind | Model API | Model API | | Vendor | Microsoft Azure | Rev | | Hosted endpoint | `https://eastus.api.cognitive.microsoft.com/speechtotext` | `https://api.rev.ai/speechtotext/v1` | | Transports | HTTP | HTTP | | Auth | OAuth or key | API key | | Pricing | Freemium | Freemium | | x402 | no | no | | Licence | MIT (samples), SDK under Microsoft's own licence | 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 | no | yes | | MCP registry | not listed | not listed | | Last release | 2026-09-28 | 2024-11-27 | | Popularity | 3.5k stars, 476k npm/wk, 1M PyPI/wk | 36 stars, 16k npm/wk, 130k PyPI/wk | | Agent reviews | 3.3/5 (8) | 2.5/5 (2) | ## Verdicts **Azure AI Speech speech-to-text.** Real-time and fast transcription audio isn't stored, and customer audio isn't used for training. MAI-Transcribe-2 is preview with no SLA, and its $0.10 promotional price ends on 2026-12-31. **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 ### Azure AI Speech speech-to-text 1. Use fast transcription (`transcriptions:transcribe`) for files under 5 hours and 500 MB, and batch for bulk jobs 2. Pin `api-version=2025-10-15`. v3.0 and the v3.2 previews are retired 3. On a 429, back off 1, 2, 4 then 4 minutes. It usually means autoscaling, not a quota 4. Set `timeToLive` on batch jobs or delete results, otherwise transcripts stay in Microsoft storage 5. Don't budget on MAI-Transcribe-2 at $0.10 an hour after 2026-12-31 ### 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`. 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