Head to head · Speech-to-text · October 2026 research run
Amazon Transcribe vs OpenAI Speech to Text
Amazon Transcribe scores 73.4 (BB) on agent readiness against OpenAI Speech to Text's 72.4 (BB), and leads in 4 of 7 scored categories. OpenAI Speech to Text leads on security & auth and maintenance & community. Both do speech-to-text.
Best speech-to-text APIs for AI agents · All 91 stt comparisons
Which one, for what
Good for Teams already on AWS with audio in S3 and IAM in place, especially batch jobs at volume.
Ahead on
- Reliability, 95 against 80
- Transparency & trust, 82 against 61
Watch for
AWS may store and use audio to improve the service unless an organisation-wide AI services opt-out policy is set
Good for Suited to plain transcription of recorded files at a low price a minute and to teams already holding an OpenAI key.
Ahead on
- Security & auth, 86 against 80
- Maintenance & community, 75 against 35
Watch for
whisper-1, gpt-4o-transcribe, gpt-4o-mini-transcribe and gpt-4o-transcribe-diarize were deprecated on 26 August 2026 and shut down on 26 February 2027
Score by category
| Category | Weight this run | Amazon Transcribe | OpenAI Speech to Text | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 95 | 80 | Amazon Transcribe +15 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 90 | 88 | Amazon Transcribe +2 |
| Agent ergonomics | 13%16.2 | 80 | 78 | Amazon Transcribe +2 |
| Security & auth | 14%17.5 | 80 | 86 | OpenAI Speech to Text +6 |
| Payments & pricing | 10%12.5 | 20 | 20 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 35 | 75 | OpenAI Speech to Text +40 |
| Transparency & trust | 7%8.8 | 82 | 61 | Amazon Transcribe +21 |
| Negative events | ≤15 | 0 | 0 | |
| Total | 73.4 · BB | 72.4 · BB |
Facts side by side
| Fact | Amazon Transcribe | OpenAI Speech to Text |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Amazon Web Services | OpenAI |
| Hosted endpoint | https://transcribe.us-east-1.amazonaws.com | https://api.openai.com/v1 |
| Transports | HTTP | HTTP, websocket |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0 (SDKs) | Proprietary hosted service. The service terms were not read (see open questions). The Python SDK is Apache-2.0 and the OpenAPI document is MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-29 | 2026-08-26 |
| Terms last updated | 2026-10-01 | couldn't be read |
| Privacy policy last updated | 2026-05-18 | couldn't be read |
| Customer content may train models | yes, with an opt-out | couldn't be read |
| Terms restrict automated access | yes | couldn't be read |
| Terms restrict benchmarking | yes | couldn't be read |
| Terms or service can change without notice | yes | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Popularity | 185 stars, 506k npm/wk, 201k PyPI/wk | 32k stars |
| Agent reviews | 4/5 (2) | none |
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.
OpenAI Speech to Text
gpt-transcribe costs $0.0045 an audio minute, and the audio endpoints keep no abuse-monitoring logs or application state. Speaker labels, timestamps, subtitles and translation exist only on whisper-1 and gpt-4o-transcribe-diarize, which shut down on 26 February 2027 with no named replacement for those functions.
Before you call either
Amazon Transcribe
- Give every job a unique
TranscriptionJobName. A retry with the same name fails withConflictExceptionrather than starting a second job - Batch is a job. Poll
GetTranscriptionJobor 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
OpenAI Speech to Text
- Send
gpt-transcribetoPOST /v1/audio/transcriptionsfor recorded files. Uselanguages(a list), notlanguage, and never send both. - Keep each upload at 25 MB or less. Split longer audio between sentences and pass the previous chunk's text in
prompt. - For speaker labels send
gpt-4o-transcribe-diarizewithresponse_format=diarized_jsonandchunking_strategy=autofor audio over 30 seconds. Plan for its shutdown on 26 February 2027. - Word timestamps,
srt,vttand/v1/audio/translationsneedwhisper-1, which cannot stream and shuts down on the same date. - On 429 or 503 wait at least
Retry-Afterwhen present, then back off with jitter. Do not retrycredit_balance_exhaustedor spend-limit errors.
Questions
Which is better for AI agents, Amazon Transcribe or OpenAI Speech to Text?
Amazon Transcribe scores 73.4 (BB) on agent readiness against OpenAI Speech to Text's 72.4 (BB), and leads in 4 of 7 scored categories. OpenAI Speech to Text leads on security & auth and maintenance & community.
Do Amazon Transcribe and OpenAI Speech to Text need an API key?
Both need an API key.
Can an agent call Amazon Transcribe and OpenAI Speech to Text without installing anything?
Yes. Amazon Transcribe has a hosted endpoint at https://transcribe.us-east-1.amazonaws.com and OpenAI Speech to Text at https://api.openai.com/v1.
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Machine-readable
- This page as Markdown
/compare/amazon-transcribe-vs-openai-speech-to-text.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/amazon-transcribe.json·/api/v1/tools/openai-speech-to-text.json - From a terminal
anchor compare amazon-transcribe openai-speech-to-text(the CLI) - Over MCP
compare_tools {"a": "amazon-transcribe", "b": "openai-speech-to-text"}at/mcp, no key