MapleAI Audio Transcription (Whisper) is a paid API for AI agents from base.mapleai.shop, paid per call via x402, $0.007/call, status unknown (last checked 2026-10-09).
Transcribes audio files to text using Whisper models, paid per request in USDC via x402 on Base.
14 chat models (GPT + Claude), 7 image models, and Jev structured decisions. Pay per request in USDC on Base with x402.
A JSON object containing a 'text' field with the full transcription. When using verbose_json format with large Whisper models, includes word-level timestamps. SRT and VTT formats return structured subtitle content suitable for video captioning.
POSThttps://base.mapleai.shop/v1/audio/transcriptions?utm_source=zero.xyzChoose this endpoint when you need pay-per-request audio transcription without a subscription, billed in USDC on Base via x402. It is ideal for agents that process audio intermittently and need OpenAI Whisper-compatible output including SRT/VTT captions and word timestamps (via the large Whisper models on Groq). Prefer over OpenAI directly when you want crypto-native micropayment billing with no API key management.
| Field | Type | Description |
|---|---|---|
| file | string | Audio (mp3, wav, m4a, ogg, flac, webm) as base64 or data URI, max 25 MB; multipart/form-data with a file field works too |
| model | string | |
| language | string | Optional ISO 639-1 hint |
| response_format | string | verbose_json (word timestamps) / srt / vtt require whisper-large-v3 or whisper-large-v3-turbo (groq backend) |
{
"type": "json",
"example": {
"text": "Hello from MapleAI"
}
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