OpenAI Whisper 1 | EmpirioLabs AI Docs

OpenAI · Transcription

POST /v1/audio/transcriptions

Whisper-1 speech-to-text transcription trained on multilingual supervised audio, with a 25 MB upload limit per file.

At a glance

Field	Value
Model id	`openai-whisper-1`
Input modalities	Audio
Output modalities	Text
Context window	-
Weight precision	-
Features	transcription, speech_to_text
Native inference	No
New	No
Supported endpoints	`POST /v1/audio/transcriptions`

Pricing

Charge	Spec	Rate
Per Minute of Audio	per minute	$0.030

Example request

$ curl https://api.empiriolabs.ai/v1/audio/transcriptions \
>   -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \
>   -F model=openai-whisper-1 \
>   -F file=@meeting.mp3

Parameters

Parameter	Type	Required	Default	Description
`file`	string	yes	-	Audio file (multipart upload) OR use file_url for the JSON path.
`file_url`	string	no	-	Public URL to fetch audio from (alternative to file upload).
`translate`	boolean	no	false	If true, route to /audio/translations and translate to English instead of transcribing in source language.
`timestamps`	boolean	no	false	Convenience toggle. If true, sets response_format=verbose_json and includes word-level timestamp_granularities.
`language`	string	no	-	Optional ISO-639-1 language code. Auto-detected if omitted. Ignored when translate=true.
`prompt`	string	no	-	Glossary or prior context to bias the model.
`response_format`	enum	no	`"json"`	Overridden to verbose_json when timestamps=true. · Allowed: `json`, `text`, `srt`, `verbose_json`, `vtt`
`temperature`	number	no	`0.0`	Sampling temperature. · Range: 0 – 1
`timestamp_granularities`	string	no	-	Comma-separated list: word, segment. Used when response_format=verbose_json.

Machine-readable schema: GET https://api.empiriolabs.ai/v1/models/openai-whisper-1.