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Agent Tools Audio Transcription Upload
x402
Agent Tools Audio Transcription Upload is a paid API for AI agents from agents.crowdspark.me, paid per call via x402, $0.02/call, status unknown (last checked 2026-11-01).
Transcribes or translates uploaded audio files (MP3, WAV, MP4, OGG, FLAC, WebM) to text with language detection, timestamps, segments, and WebVTT output
Price / call$0.02
Success—
StatusUnknown
How this service works
Speech to text from uploaded audio bytes. POST the raw file as the body (audio/mpeg, audio/wav, audio/mp4, audio/ogg, audio/flac, audio/webm); multipart 'file' or JSON {"base64"} also work. Max 10 MB. Returns text, language, duration, segments and WebVTT.
Output
A JSON object containing the task type, full transcribed or translated text, audio byte size, model used (whisper-large-v3-turbo), audio format, detected language code, an array of segments each with start time, end time, and text, total word count, duration in seconds, and WebVTT-formatted caption data.
Example use cases
Podcast episode transcript generation
“I have an MP3 of a podcast episode I recorded. Can you transcribe it and give me the full text broken into timestamped segments so I can use it for show notes?”
Meeting recording to searchable text
“Transcribe this WAV file of a team meeting from today — I need the full transcript with start and end times for each segment so I can search through what was said.”
Multilingual audio translation to English
“I have an OGG audio file of a Spanish interview. Can you translate it to English text and give me the duration and word count?”
Technical details
Endpoint
POSThttps://agents.crowdspark.me/v1/audio/transcribe/upload?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw audio bytes available locally or in memory and need a full-featured transcription response including language detection, timestamped segments, and WebVTT captions in a single call. It supports multiple upload methods (raw body, multipart form, or base64 JSON), making it flexible for agent pipelines. Prefer it over URL-based transcription endpoints when you already have the file on hand rather than a remote URL, and when you need structured segment data alongside the plain transcript.
Side effects
- File exceeds 10 MB limit — request rejected with size error
- Unsupported audio format — only audio/mpeg, audio/wav, audio/mp4, audio/ogg, audio/flac, audio/webm accepted
- Audio too short or silent — may return empty text or minimal segments
- Invalid language ISO code — may fall back to auto-detection or return an error
- Payment failure or insufficient USDC — x402 payment required before processing
- Corrupted or malformed audio bytes — decoding error returned
- Network timeout on large files near the size limit
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| task | string | |
| language | string | Optional ISO code, e.g. en |
Output
Schema · Response
{
"type": "json",
"example": {
"task": "transcribe",
"text": "Hello and welcome to the show.",
"bytes": 67000,
"model": "whisper-large-v3-turbo",
"format": "mp3",
"language": "en",
"segments": [
{
"end": 4.2,
"text": "Hello and welcome to the show.",
"start": 0
}
],
"word_count": 6,
"duration_seconds": 4.2
}
}Tags
x402
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