GET

/v1/schemas/openai/audio/audio/translations

Accept:

kind inputactivity audiohash 09fdd466…extracted Sep 10, 2026version currentsource upstream spec ↗

field	recorded source
schema	Source linked above. upstream-spec Source trace `3495a940f589d37ec402c02a7cacfaa0b81f0b4bc7ed7d7c7ce4b8694dd704dc` { "fetchedAt": 1789017020, "extractorVersion": "1", "verifiedAt": null }

Request body

5 properties · 2 required · 0 $defs

property	type	description	constraints
file*	string	The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. The request must include enough format metadata for the file to be identified. We recommend an extension-bearing filename and an appro…	format: binary
model*	string \| enum	ID of the model to use. Only `whisper-1` (which is powered by our open source Whisper V2 model) is currently available.
prompt	string	An optional text to guide the model's style or continue a previous audio segment. The [prompt](https://developers.openai.com/api/docs/guides/speech-to-text#prompting) should be in English.
response_format	enum	The format of the output, in one of these options: `json`, `text`, `srt`, `verbose_json`, or `vtt`.	json \| text \| srt \| verbose_json \| vtt · default: "json"
temperature	number	The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_pro…	default: 0

Validate a payload

before you spend tokens

shell

$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"openai","endpointId":"audio/translations","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}