transcript

name	transcript
description	Transcribe audio, video, YouTube, Vimeo, and generic media URLs with iapp-transcriber or the hosted Skills runtime. Supports OpenAI GPT-4o transcription, OpenAI diarization, ElevenLabs Scribe v2, DeepGram, chunking, source metadata, subtitles, and JSON outputs.

Transcript

Create transcripts from local audio/video files or media URLs. Use this skill when the user asks to transcribe, caption, diarize, summarize, or package spoken audio/video content.

Choose The Runtime

• Use the hosted Skills runtime when the user explicitly runs skills run transcript, needs remote execution, or has only SKILLS_API_KEY configured.
• Use local iapp-transcriber when you are on this machine and need direct access to local files, YouTube/Vimeo/generic yt-dlp sources, transcript DB records, MCP tools, comments, exports, or OpenLoops follow-up workflows.
• The local command is transcriber when installed, or bun run src/cli/index.ts from your ~/Workspace/hasnaxyz/internalapp/iapp-transcriber checkout.

Hosted Usage

skills run transcript --source ./meeting.mp3 --title "Design review" --provider openai
skills run transcribe --source https://www.youtube.com/watch?v=... --provider openai --diarize

Poll hosted runs with skills runs status <run-id> and download outputs with skills exports download <run-id>.

Local Usage

transcriber transcribe ./meeting.mp3 --provider openai --json
transcriber transcribe https://www.youtube.com/watch?v=... --provider openai --model gpt-4o-transcribe --json
transcriber transcribe ./meeting.mp3 --provider openai --diarize --json
transcriber export <transcript-id> --format srt --output captions.srt

Local provider defaults:

• openai: default, uses gpt-4o-transcribe; --diarize uses gpt-4o-transcribe-diarize.
• elevenlabs: uses scribe_v2, supports diarization and keyterms.
• deepgram: uses Nova-3, supports diarization.

Local requirements:

• A configured provider credential for the selected local provider.
• yt-dlp for remote media URLs. Set YTDLP_PATH if needed.
• ffmpeg/ffprobe; the local app bundles npm ffmpeg/ffprobe and also respects FFMPEG_PATH and FFPROBE_PATH.

Workflow

1. Inspect source metadata first for URLs:

   transcriber info <url> --json
   

2. Download audio when the user asks to keep media:

   transcriber download <url> --format mp3 --json
   

3. Transcribe with JSON for automation:

   transcriber transcribe <path-or-url> --provider openai --json
   

4. Export or post-process:

   transcriber get <id> --json
   transcriber export <id> --format txt --output transcript.txt
   transcriber summarize <id>
   

5. For repeat work, create OpenLoops command loops around JSON-producing commands, for example transcriber feed check --json --dry-run.

Safety

• Only fetch URLs the user is authorized to process.
• The local app rejects private/local URL hosts by default; set TRANSCRIBER_ALLOW_PRIVATE_URLS=1 only for trusted internal sources.
• Prefer --json for scripts and OpenLoops so failures include a structured transcript record and nonzero exit code.