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AgentUtility Video Transcription (Whisper v3)
x402
AgentUtility Video Transcription (Whisper v3) is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15, last successful call 2026-09-05).
Transcribes any video URL to text using Whisper v3 large, with auto-detection of 90+ languages, optional English translation, and optional speaker diarization.
Price / call$0.1typically ~$0.100/call
Success33%
StatusUnknown
How this service works
Transcribes any video URL to text with Whisper v3 large. Auto-detects 90+ languages and offers a translate-to-English mode. 60-min / 500MB max. Same backend as video-to-text under a clearer slug. Use it for video transcription, video to audio transcription, or video-to-text. For speaker labels, use the speaker-diarize endpoint.
Output
Returns the full text transcript of the video's spoken audio, including detected source language, optionally translated to English, with optional per-speaker segment labels and timestamps. Maximum video length is 60 minutes / 500 MB.
Example use cases
Meeting recording to searchable transcript
“I have a recording of our team standup at https://storage.example.com/standup-2025-05-12.mp4 — can you transcribe it with speaker labels so I know who said what?”
Foreign language video to English text
“Transcribe this Spanish-language interview at https://cdn.example.com/entrevista.mp4 and translate the transcript into English for me.”
Online lecture notes generation
“Pull the transcript from this lecture video at https://university.edu/lecture-week3.mp4 so I can turn it into study notes — the professor speaks pretty fast so I need accurate Whisper transcription.”
Technical details
Endpoint
POSThttps://x402.agentutility.ai/video-transcribeWhen to prefer
Choose this endpoint when you need high-accuracy transcription of a video file via URL, especially for multilingual content, foreign-language-to-English translation, or meeting recordings needing speaker attribution. It leverages Whisper v3 large, the highest-accuracy open model, and handles up to 60 minutes per call. Prefer it over generic STT APIs when language auto-detection or diarization is needed without pre-configuration.
Side effects
- Video URL unreachable or returns non-200 — transcription fails with URL error
- Video exceeds 60-minute or 500 MB limit — rejected with size/duration error
- Unsupported audio codec or corrupted video file — returns processing error
- Language not among the 90+ supported — may produce garbled output
- Network timeout fetching large video files — request may time out
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"task": "transcribe",
"text": "Hello world.",
"duration_seconds": 23
}
}Tags
x402
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