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Transcribe

by Speech-to-text in AI models & inference

x402 APIPassing, checked 4 h ago

Transcribe audio to text with the gpt-transcribe model. Provide a URL to an audio file (mp3, wav, m4a, etc.) and get back the transcript. Add diarize:true for speaker labels and word timestamps (the scribe-v2 model, same price). No API key needed; pay per call via x402. Max 4 minutes of audio, 25 MB file size; /api/transcribe-pro takes the same models to 10 minutes.

POST https://agent402.tools/api/transcribe

Last 30 days

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Uptime
100%
Response time
277 ms typical, 393 ms slowest 5%
Last check
4 h ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://agent402.tools/api/transcribe" \
  -H "content-type: application/json" \
  -d '{"url":"https://agent402.tools/fixtures/sample-speech.wav"}'
import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagent402.tools%2Fapi%2Ftranscribe
const res = await pay("https://agent402.tools/api/transcribe", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"url":"https://agent402.tools/fixtures/sample-speech.wav"}),
});
console.log(await res.json());

Example input

{
  "url": "https://agent402.tools/fixtures/sample-speech.wav"
}

Example output

{
  "duration": 12.6,
  "language": "en",
  "model": "gpt-transcribe",
  "provider": "openai",
  "text": "Hi, this is the Agent402 sample recording. Can you hear me clearly? Yes, loud and clear. There are two of us on this clip, so the transcript can tell us apart."
}

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