Hey IH đź‘‹
I’m an indie maker and avid lifelong learner who watches a ton of long-form YouTube content (lectures, interviews, podcasts…). But manually copying transcripts and cleaning them up for notes datasets was a huge bottleneck:
đźš« Scrolling, formatting issues, timestamps missing
⏱️ Just taking 15min of transcript could waste 30–40min total
🧩 Export formats didn’t fit into automation workflows (Notion, Obsidian, Dataview…)
So I built YouTubeTranscripts.tech, a simple web app that:
Extracts transcripts from any YouTube video, playlist, or full channel
Exports into clean .txt, .csv, .json, .srt, or .vtt
Option to include timestamps and metadata (title, duration, thumbnail, publish date)
No login, no API key, no rate limits—just paste and go
đź”— It lets me feed structured content directly into Notion or Obsidian, tag and search across hundreds of videos, and build evergreen notes with ease.
Why it matters for creators & knowledge workers:
🎓 Teach or repurpose lecture/interview content fast
✍️ Generate show notes or blog posts from video sources
đź§ Archive long-form content as searchable data
⚡ Save hours of manual copy-pasting
Would love to hear:
How do you handle transcripts from YouTube content? Any hacks or tools I should know?
Would bulk-export across playlists / channels be useful in your workflow?
If you want to test it, happy to DM you a link—I’m especially looking for feedback on desktop + mobile usage, export formats, and integration hacks.
Thank you IH for the awesome community and feedback 🙏
Let me know what you think!