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$ man audio-transcribe

/audio-transcribe

agentutility / mediakit / audio-transcribe
PRICE / CALL
$0.01
USDC · base mainnet · scheme: exact
METHOD
POST
CLUSTER
mediakit
CATEGORY
uncategorized
STATUS
● live
NAME
audio-transcribe — transcribes audio to text with whisper-large-v3
SYNOPSIS
POST https://x402.agentutility.ai/audio-transcribe
     Content-Type: application/json
     X-PAYMENT:    <signed-transferWithAuthorization>

     { ... }
↳ first call → 402 Payment Required. Sign USDCtransferWithAuthorization, retry with theX-PAYMENT header.
DESCRIPTION

Transcribes audio to text with whisper-large-v3. Server-side fetches the audio URL (max 25 MB), relays it to Venice's audio/transcriptions endpoint, and returns the transcript with detected language, duration, and per-segment timestamps when response_format='verbose_json' (default). Also supports raw text, SRT, and VTT outputs. Use it as a speech-to-text or multi-language ASR endpoint with OpenAI Whisper API compatibility.

INPUT — request schema
propertytypedescriptionreq?
audio_urlstringPublic http(s) URL of the audio file (mp3, wav, m4a, ogg, flac, webm). Up to 25 MB.required
languagestringBCP-47 language hint (e.g. 'en', 'es'). 'auto' or omitted = auto-detect.optional
modelstringOverride the model. Default 'openai/whisper-large-v3'.optional
response_formatstringOutput format. Default 'verbose_json' (transcript + segments).
enum: json · text · verbose_json · srt · vtt
optional
OUTPUT — response shape
fieldtypedescription
transcriptstringFull transcribed text of the audio, concatenated across all detected speech segments.
language_detectedstringISO 639-1 code of the language Whisper auto-detected in the audio (e.g. 'en', 'es', 'fr').
duration_secondsstringLength of the source audio in seconds, as reported by Whisper after decoding.
segmentsstringArray of per-segment objects with start/end timestamps and text, present when response_format is verbose_json.
response_formatstringOutput format used: verbose_json (default), json, text, srt, or vtt.
modelstringWhisper model used for transcription, fixed to 'whisper-large-v3' via Venice's audio/transcriptions endpoint.
bytes_instringSize in bytes of the audio file fetched from the source URL before relay to Whisper.
sourcestringOriginal audio URL the server fetched and transcribed (echoed back from the request).
EXAMPLES — two ways to call
EXAMPLE 1 · curl
curl -X POST https://x402.agentutility.ai/audio-transcribe \
  -H 'Content-Type: application/json' \
  -d '{ }'
first response = 402 Payment Required with payment requirements; sign + retry with X-PAYMENT.
EXAMPLE 2 · mcp
# Install the MCP package for this endpoint's cluster
npx -y @agentutility/mcp-<cluster>

# Required: EVM private key with USDC on Base
export X402_PRIVATE_KEY=0x...

# Then call the audio-transcribe tool from your MCP-aware agent.
MCP server handles payment automatically — your coding agent just calls the tool by name.
METADATA
tags
mediakitaudiotranscriptionspeech-to-textasrwhispersubtitleswhisper-large-v3
methods
POST
cluster
mediakit
price
$0.01 USDC per call
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SEE ALSO
agentutility · mediakit · x402 · mcp · llms.txt · registry.json · bazaar.x402.org