Design & media

Podcast Transcribe

Try it

For transcript or subtitle requests involving podcast URLs, public audio URLs/files, or raw transcript cleanup. Generates audio + SRT + TXT artifacts and can...

What it does

For transcript or subtitle requests involving podcast URLs, public audio URLs/files, or raw transcript cleanup. Generates audio + SRT + TXT artifacts and can...

The skill document

Transcribe with podcast-helper

Generate transcript artifacts from a podcast episode, audio file, or raw transcript, with an optional cleanup pass that uses episode-page context.

Default Workflow

  1. Choose a dedicated output directory such as ./out//.
  2. Run npx podcast-helper transcribe --output-dir --json.
  3. Add --progress jsonl only when machine-readable progress is needed.
  4. Report the generated artifact paths for audio, .srt, and .txt.
  5. Ask whether the user wants cleanup. Do not run cleanup implicitly.

If you are already inside this repository and dist/cli.js exists, node dist/cli.js ... is acceptable. Do not default to repository-local build steps outside this repository. If you are inside this repository and dist/cli.js is missing, run pnpm run build before using the repo-local entry point.

Gotchas

  • Prefer no-install entry points first: npx, then pnpm dlx, then a globally installed podcast-helper.
  • Let the CLI auto-select the engine unless the user explicitly requests a backend or needs offline Apple Silicon transcription.
  • Spotify URLs are unsupported because the audio is DRM-protected. Ask for an RSS-backed episode page, Apple Podcasts link, or direct audio URL instead.
  • YouTube inputs require yt-dlp.
  • Generic episode pages sometimes hide audio metadata. If source resolution fails, download the audio separately and rerun with the file path.
  • Hosted transcription failures usually come from a missing or wrong provider API key.
  • Local mlx-whisper runs require ffmpeg, python3, and a working runtime from podcast-helper setup mlx-whisper.
  • Keep the raw transcript untouched. Cleanup should write a sibling *.cleaned.txt.

Command Forms

Default:

npx podcast-helper transcribe  --output-dir ./out/ --json

Fallbacks:

  • pnpm dlx podcast-helper transcribe --output-dir ./out/ --json
  • podcast-helper transcribe --output-dir ./out/ --json
  • node dist/cli.js transcribe --output-dir ./out/ --json only inside this repository

For offline Apple Silicon:

npx podcast-helper transcribe  --engine mlx-whisper --output-dir ./out/ --json

Cleanup Branch

Only enter cleanup when the user asks for it or already has a raw transcript.

  1. Fetch episode context with curl https://r.jina.ai/.
  2. Use the page as reference context for obvious ASR repairs, especially names and proper nouns.
  3. Do not summarize, invent missing content, or overwrite the raw transcript.
  4. Write a sibling *.cleaned.txt file.

If no episode URL is available, clean conservatively and explicitly say that external episode context was not used.

References

  • Read references/inputs-and-engines.md for supported inputs, engine selection, and dependency notes.
  • Read references/output-contract.md for the JSON success and failure envelopes and progress handling.
  • Read references/cleanup.md for detailed cleanup rules and conservative editing guidance.
  • Read references/verification.md for smoke-test inputs and verification steps.
  • Read references/setup.md when installing this skill into Claude Code, OpenClaw, or other agents.

Related skills

Generate timecoded SRT subtitles from local video or audio files. Use when a user wants a local low-cost subtitle workflow, asks to transcribe local media in...

18 installs1 stars

Turn an article, notes, or a finished script into a listener-ready solo podcast episode with a consistent host voice. This AI podcast voice generator and AI podcast narration service adapts supplied material into a speakable podcast script, sets names and specialist terms for clear pronunciation, and creates MP3 podcast audio with natural pacing. Use this podcast voiceover AI and text-to-speech podcast service for article-to-podcast audio, news briefings, expert commentary, and knowledge shows, then carry the host direction into the next episode.

Turn a podcast episode link into a timestamped transcript AND a production-ready Chinese two-host script package (outline.md, script.md, notes.md) that faith...

Transcribe audio and video with the transcribe.so CLI. Turns YouTube videos, podcasts (Apple Podcasts, Spotify, SoundCloud, Vimeo, Twitch, Loom), direct media URLs, and local audio or video files into speaker-labelled transcripts with timestamped segments, chapters, sections, cited Q&A, and subtitle files (SRT, VTT, karaoke VTT). Use when the user wants a transcript, show notes, chapters, subtitles, quotes, or answers grounded in a recording. 52 languages and dialects.

Generate or align SRT subtitles from audio using this repository. Use when the user asks for subtitle generation, transcript-to-audio alignment, timing clean...

16 installs1 stars