Inference402 Speech-to-Text Transcription is a paid API for AI agents from inference402.worlddata402.workers.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-20).
Transcribes audio from a public URL into text with timestamps and word count using Whisper Large v3 Turbo, paid per-call in USDC via x402.
Pay-per-call AI inference for agents: chat (Llama 3.3 70B / 3.1 8B), structured JSON, summarize, translate (incl. Egyptian Arabic), extract, classify, sentiment, keywords, rewrite, embeddings, moderation, vision and speech-to-text. USDC on Base mainnet over x402. No API key, no account.
Returns a JSON object with the full transcribed text, the model used (Whisper Large v3 Turbo), detected or hinted language code, word count, total audio duration in seconds, and an array of timed segments each with start time, end time, and segment text.
GEThttps://inference402.worlddata402.workers.dev/v1/audio/transcribe?utm_source=zero.xyzChoose this endpoint when you need keywordless, no-account, pay-per-call audio transcription billed in USDC via the x402 protocol, especially when you want Whisper-quality results with timed segments without managing API keys or subscriptions. Ideal for AI agents that need to process audio on demand without prior account setup.
| Field | Type | Description |
|---|---|---|
| language | string | Optional ISO 639-1 spoken-language hint, e.g. ar |
| audio_url | string | Public http(s) URL of an audio file ≤10MB |
{
"type": "json",
"example": {
"text": "Hello and welcome ...",
"model": "@cf/openai/whisper-large-v3-turbo",
"language": "en",
"segments": [
{
"end": 4.2,
"text": "Hello and welcome",
"start": 0
}
],
"word_count": 96,
"duration_seconds": 42.1
}
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