YouTube captions vs a podcast transcript

YouTube already gives most videos auto-captions. Podcasts usually do not publish a transcript you can download. Podskrift is built for that podcast gap — it is not a YouTube downloader or YouTube caption tool.

How it works

  1. Use a podcast link

    Spotify, Apple Podcasts, or the show’s RSS feed — not a youtube.com URL.

  2. If the show is also on YouTube

    Find the same episode in the podcast feed (Apple / Spotify / RSS) and paste that.

  3. Get downloadable text

    Unlike most YouTube caption UIs, you get .txt and .srt you can keep.

Questions

Can Podskrift transcribe a YouTube video?

No. It does not accept YouTube URLs or download YouTube audio. Use YouTube’s own captions for video-only content.

My podcast is uploaded to YouTube as video — what then?

If the same episode is published as a podcast (Apple Podcasts, Spotify, or an RSS feed), paste that podcast link. Podskrift uses the public podcast audio, not the YouTube file.

Why not just copy YouTube captions?

You can, for YouTube. Podcasts often have no captions at all, and in-app podcast transcripts (Spotify / Apple) usually cannot be exported as files.

What does Podskrift actually support?

Public podcast audio via Spotify links (when a public feed exists), Apple Podcasts links, RSS feeds, catalogue search, and direct audio URLs.

What does it cost?

Start free, no card needed. After that, minutes are a one-time purchase: from $1.50 for 60 minutes, cheaper per minute the more you buy (1,200 min for $11), or just the minutes one episode needs. No subscription. You can also add your own OpenAI API key and pay OpenAI directly instead; that is optional.

What do I get back?

The full transcript as plain text (.txt) and as SubRip subtitles (.srt) with timestamps, plus a reading view in the browser. Transcripts are private to your account unless you create a share link.

Which languages work?

28 languages, transcribed with modern speech recognition. Auto-detect is the default; choosing the language yourself helps on short or accented audio.