version: "1.0.0" name: transcribe-audio description: Transcribe audio with speaker diarization and word-level timestamps. license: MIT

Skill: transcribe-audio

Transcribe podcasts, meetings, interviews, or any speech audio with speaker diarization and word-level timestamps. AudioTranscribe is AudioPod's speech-to-text engine.

When to use

Invoke when the user wants:

• A text transcript of a podcast, meeting, lecture, or interview
• Speaker-separated transcripts ("Speaker 1: …, Speaker 2: …")
• Subtitles / captions for a video

API

POST https://api.audiopod.ai/api/v1/transcription/transcribe (URL) or POST /api/v1/transcription/transcribe-upload (multipart file).

Headers:

• X-API-Key: ap_your_api_key (or Authorization: Bearer ap_your_api_key)
• Content-Type: multipart/form-data

Body (form-data):

• file: audio or video file (up to 2 GB) — or url to a public file
• language: ISO 639-1 code (or auto)
• model_type: standard (default) or premium / premium-diarized — premium adds higher accuracy, punctuation, per-word confidence, and native speaker labels
• diarize: true to enable speaker diarization; min_speakers / max_speakers (1–20)
• output_format: srt | vtt | txt | json

Need live captions? Real-time streaming transcription is available over WebSocket (interim + final results).

Response

{ "job_id": 12345, "status": "PENDING" }

job_id is an integer, unique within the transcription tool.

Poll GET /api/v1/transcription/jobs/{job_id} for COMPLETED, then fetch the transcript via GET /api/v1/transcription/jobs/{job_id}/transcript. (Job IDs are per-tool — there is no generic /api/v1/jobs/{job_id} endpoint.)

Accuracy

99.8% word accuracy on clean studio audio (English); 96–98% on noisy field recordings after running the denoise-audio skill first.