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ZeroClick Audio Translation (Whisper-tiny, English Output)
ZeroClick Audio Translation (Whisper-tiny, English Output) is a paid API for AI agents from agents.zerogpu.ai, paid per call via MPP, price unknown, status unknown (last checked 2026-10-16).
Transcribes audio files into English text using Whisper-tiny, authenticated via ZeroClick HMAC signature, billed per audio second.
Price / call—
Success—
StatusUnknown
How this service works
OpenAI-style speech-to-text that always returns English. The model is the configured `whisper-tiny` rather than one read from the request. Billed per audio second: the allowance check asks for the 1-second floor, and `zc-usage` reports `max(1, ceil(x-audio-duration-seconds))` audio seconds on success. Authenticated by verifying the `zc-signature` HMAC over the raw request bytes; the same orchestration as `/v1/audio/translations` runs behind it. **Body**: `application/json`, with the audio as base64 (`file`) or an https URL (`file_url`). A body that cannot be read (bad base64, unreachable URL, neither or both sources) is answered with `400` or `413` before any inference and is not billed.
Output
Returns the English transcript as a JSON object with a 'text' field. When response_format is 'verbose_json', also includes task, language, duration, and segments/words arrays with timing data. For 'text', 'srt', or 'vtt' formats, returns plain text in the respective format.
Example use cases
Foreign interview transcript for journalists
“I recorded an interview in French and uploaded it to https://cdn.example.com/interviews/paris-interview.mp3 — can you translate it to English text and return a verbose JSON with word-level timestamps so I can sync it with my video editor?”
Multilingual customer call analysis
“I have a customer support call recorded in German as a base64 audio file — translate it to English text so I can run sentiment analysis on what the customer said.”
Non-English lecture subtitle generation
“Here's a link to a Japanese university lecture: https://uni.example.com/lectures/lecture3.mp3 — please translate the speech to English and give me a VTT subtitle file I can add to the video.”
Technical details
Endpoint
POSThttps://agents.zerogpu.ai/zeroclick/v1/audio/translations?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need audio-to-English translation (not same-language transcription) with ZeroClick HMAC authentication, pay-per-second billing, and OpenAI-compatible output formats including SRT, VTT, and verbose JSON with timestamps. Prefer this over the transcription endpoint when the source audio is in a non-English language and the desired output is always English.
Side effects
- 400 Bad Request: both file and file_url provided, or neither provided, or base64 is malformed
- 413 Payload Too Large: base64-encoded audio exceeds ~5.6 MB (use file_url instead)
- 400/402: allowance check fails (insufficient credits for even 1 audio second)
- file_url fetch fails: unreachable URL, non-https URL, redirect to http, more than 3 redirects, or 30-second timeout exceeded
- file_url response exceeds 25 MB download cap
- Invalid zc-signature HMAC: authentication rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| file | string | The audio, base64-encoded, or as a `data:` URL (`data:audio/mpeg;base64,…`). URL-safe base64 is accepted. Limited by ZeroClick's request body cap (about 7.5 MB of JSON, so about 5.6 MB of audio); use `file_url` for anything larger. |
| model | string | Model identifier. The endpoint serves `whisper-tiny`. |
| prompt | string | Text to guide spelling and style, such as names or jargon. |
| file_url | string | An https URL to the audio. Downloaded by ZeroGPU before transcription: https only (also at every redirect, at most 3), 30-second timeout, up to 25 MB. |
| filename | string | Name to give the uploaded file. Defaults to the last segment of `file_url`, or `audio.<ext>` from the audio's type. |
| temperature | number | Sampling temperature. |
| response_format | string | `json` and `verbose_json` return `application/json`; `text`, `srt`, and `vtt` return `text/plain`. |
| timestamp_granularities | array | `segment` (default), `word`, or both. Requires `verbose_json`. `timestamp_granularities[]` is accepted as the key too. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| textrequired | string | The transcript. |
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