speech-to-text
Transcribe audio files or URLs to text using Whisper v3, supporting 100+ languages, speaker diarization, and multiple output formats (JSON/SRT/VTT/verbose_json). Use this skill whenever the user wants
SKILL.mdresources/migrated/v1-skills/speech-to-text/SKILL.md
GitHubSpeech-to-Text (Audio Transcription)
Powered by the Whisper large-v3 model via the LemonFox API. Converts audio files or public audio URLs into text transcripts with support for 100+ languages, speaker recognition, word-level timestamps, and multiple output formats.
Billing: Billed per API call.
Overview
| Property | Value |
|---|---|
| Endpoint | POST https://app-dohnbj5by5mp-api-DY8MNQoqOnMa.gateway.appmedo.com/v1/audio/transcriptions |
| Auth | Bearer Token (platform_managed, X-Gateway-Authorization header) |
| Content-Type | multipart/form-data (file upload) or application/x-www-form-urlencoded (URL submission) |
| Max File Size | Upload: 100 MB; URL submission: 1 GB |
| Supported Formats | mp3, wav, flac, aac, opus, ogg, m4a, mp4, mpeg, mov, webm, and more |
| Supported Languages | 100+, auto-detected if not specified |
| Billing | Billed per call |
Core capabilities:
- Audio-to-text transcription, returning plain text or detailed JSON with timestamps
- Multi-speaker recognition (Speaker Diarization), automatically labels each speaker
- Multiple output formats:
json,text,srt,vtt,verbose_json - Supports async callback via
callback_url - Supports translating audio content to English
For complete parameter details, response fields, and code examples, see
references/transcriptions-api.md.
Generation-time Usage (Agent Direct Call)
Use the built-in script for generation-time calls. The script reads INTEGRATIONS_API_KEY from the environment.
The Bash tool timeout MUST be set to 600000ms (600 seconds).
# From a public audio URL (recommended, supports up to 1 GB)
python3 <skill-path>/scripts/call_speech_to_text.py \
--file-url "https://example.com/audio.mp3" \
--response-format json
# From a local audio file (multipart upload, up to 100 MB)
python3 <skill-path>/scripts/call_speech_to_text.py \
--file /path/to/audio.mp3 \
--response-format verbose_json \
--speaker-labels --word-timestamps
# Translate audio to English
python3 <skill-path>/scripts/call_speech_to_text.py \
--file-url "https://example.com/chinese_audio.wav" \
--translate
The script prints one JSON line on success: {"status":"succeed","result":{...}} (where result is the upstream response). For text, srt, or vtt formats, the result is {"text":"..."}. On failure it prints an error to stderr and exits with a non-zero code.
For complete parameter details and response field tables, see
references/transcriptions-api.md.
Post-generation Usage (In-app via Edge Function)
When called from within an application, requests must be proxied through an Edge Function to keep the platform key out of the frontend.
For the complete Edge Function code and frontend call patterns, see the "Post-generation Usage" section in
references/transcriptions-api.md.