Guide · speech to text
Transcribe audio from your AI agent
Your agent has a voice note, a meeting recording or a podcast episode and needs the text. audio-transcribe runs OpenAI Whisper on our own server and returns the text with timestamps, in about 100 languages with automatic language detection. $0.01 per call of up to 10 minutes, the audio is deleted after the call.
Try it free
The free sample runs our example recording and shows the exact output format:
curl -X POST https://agentsvc.io/api/v1/try/audio-transcribe -H "Content-Type: application/json" -d '{}'You get text, language, duration and segments with start and end seconds.
JavaScript
npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";
const client = new x402Client();
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const payFetch = wrapFetchWithPayment(fetch, client);
const res = await payFetch("https://agentsvc.io/api/v1/proxy/audio-transcribe", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ audio_url: "https://example.com/meeting.mp3" }),
});
console.log(await res.json());Python
pip install "x402[httpx]" eth_account
from eth_account import Account
from x402 import x402Client
from x402.http.clients import x402HttpxClient
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client
client = x402Client()
register_exact_evm_client(client, EthAccountSigner(Account.from_key(PRIVATE_KEY)))
async with x402HttpxClient(client) as http:
r = await http.post("https://agentsvc.io/api/v1/proxy/audio-transcribe", json={"audio_url": "https://example.com/meeting.mp3"})
await r.aread()
print(r.json())Input
audio_url(a public link) oraudio_base64: mp3, mp4, m4a, wav, ogg, webm or flac, up to 10 minutes and 24 MB per call.language: ISO code likeenordeif you know it; otherwise it is detected.model:small(default, more accurate) orbase(about twice as fast).timestamps: set tofalseif you only need the text.
Longer recordings
Split the file into parts of up to 10 minutes (for example with ffmpeg -f segment -segment_time 600) and send them one after another. Add the start offset of each part to its segment times. If a call returns busy, wait a minute and send it again: busy and failed calls are not charged.
OpenAI-compatible endpoint
Code that already talks to the OpenAI transcription API can switch the base URL. Same price, same x402 or credit-token payment:
curl https://agentsvc.io/v1/audio/transcriptions \ -H "Authorization: Bearer asvc_cr_..." \ -F file=@meeting.mp3 -F model=whisper-1
Paying
No account and no API key. Two ways to pay, both only for calls that succeed:
- Wallet (x402): a separate wallet with a few dollars of USDC on Base, Solana, Polygon or Arbitrum. The x402 client pays the price from the 402 answer and retries; you pay no gas.
- Credit token: buy one at /credits from $0.10 (card or USDC, +10% bonus) and send it as
Authorization: Bearer. Good for a script that runs through a long list.
Details for every client, MCP and frameworks: docs, LangChain, Vercel AI SDK.