Transcribe (speech-to-text)
Server Details
Pay-per-minute speech-to-text: audio URL to text, SRT or VTT. Paid via x402 or credits.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of misselection or overlap with another operation. Its purpose is clearly scoped to speech-to-text transcription.
The single tool follows a clear verb_noun convention: transcribe_audio. With only one tool there is no inconsistent pattern.
The server is narrowly focused on speech-to-text, but a single tool is thin even for that scope. Consolidating transcription, translation, and subtitle output into one endpoint is efficient but leaves no separate lifecycle operations.
The tool covers core transcription needs: multiple formats, language detection, timestamps, SRT/VTT output, translation, and payment handling. Minor gaps exist around unsupported formats like FLAC/WebM and no explicit file-upload or longer-audio workflow.
Available Tools
1 tooltranscribe_audioTranscribe audio (speech-to-text)ARead-onlyIdempotentInspect
Speech-to-text for a public MP3, WAV, M4A or OGG/Opus file (audio_url, up to 30 minutes): transcript, detected language, timestamped segments and optional SRT/VTT subtitles (format=srt|vtt); task=translate returns English. Paid only, no free tier: $0.003 per started audio minute (minimum 1). Call without payment to get the exact quote for your file (x402 payment terms); then retry with params.meta["x402/payment"] or a prepaid credits key (Authorization: Bearer yatc...). Charged only when a transcript is returned. Not for FLAC or WebM (convert first).
Inputs: audio_url (required), vad, task, format, +2 more.
Tool Schema Changelog
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Related MCP Connectors
STT + SRT/VTT; 3-hour async jobs; dTelecom-compatible file API; x402 $0.005/min, no prepaid credits
Transcribe audio and video from a link or local file into text and SRT subtitles. Pay-as-you-go.
Audio, video and podcast feeds to text with Whisper. Timestamps, SRT/VTT, 99 languages. Per minute.
Text to natural speech as MP3: 38 voices, 7 languages, 1,000 chars per call. Paid per call, x402.
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