Show HN: I made a website that converts YT videos into step-by-step guides
Overall reception & use cases
- Many commenters find the idea highly useful, especially for:
- DIY, repair, and technical tutorials (solar, car repair, NAS setup, coding).
- Recipes and other step-by-step tasks where video fluff is frustrating.
- People who strongly prefer text over video for learning and reference.
- Some consider it something they’ve “been looking for for ages” and see it as one of the more practical LLM applications.
Feature suggestions & UX
- Frequent requests:
- Per-step timestamps and deep links back into the video.
- Use YouTube chapters where available.
- Checklist mode for following along while doing the task.
- Screenshot/thumbnail per step, possibly à la iFixit-style guides.
- Loading indicators and better handling of multi-second processing delays.
- Browser extension and/or a searchable database of “stepified” videos.
- Suggestions to curate or reorder “Recent” videos and moderate NSFW or prank submissions.
Technical implementation & reliability
- Current approach: pull YouTube transcripts via API and feed them to an LLM.
- For videos without captions, it currently relies on the description, which causes odd or low-quality guides.
- Multiple people recommend using Whisper or similar models as a fallback for missing captions and possibly integrating SponsorBlock to skip ads and self-promo.
- Site frequently hits Heroku/internal errors; suggestions include:
- Asynchronous processing with a job queue.
- Notifications when processing is done.
- Possibly using Cloudflare or scaling hosting.
Accuracy, limitations, and edge cases
- Works well for some tutorials and recipes, but:
- Can include “like/subscribe/comment” lines as steps unless explicitly filtered.
- Produces gibberish or hallucinations on non-tutorial content.
- Some users report that for complex mechanical tasks the output is not reliable enough to follow.
- Debate over whether different LLMs (e.g., non-OpenAI) might do better at summarization.
Creator rights, copyright, and ethics
- Major subthread on ethics:
- Concerns about generating derivative textual guides without creator consent, especially when:
- Pages are permanent.
- There’s no deletion or contact mechanism.
- The site asserts “all rights reserved” in the footer.
- Worries about:
- SEO competition with creators’ own content.
- Reduced incentive to watch the original video and loss of income.
- Inaccurate summaries reflecting poorly on the original video.
- Concerns about generating derivative textual guides without creator consent, especially when:
- Counterarguments:
- The site embeds the YouTube player; views and ad revenue still go to the creator.
- Embedding and summarizing publicly available videos is compared to news sites and blogs that embed and describe videos.
- Creators can disable embedding on YouTube; critics respond that summaries are still generated even then.
- Some suggest opt-in, clearer attribution (title, description, channel link at the top), and/or revenue sharing or tools specifically for creators.
Business model, openness, and sustainability
- The developer is currently paying significant API costs out-of-pocket, with mention of burning a large fraction of a paycheck.
- Discussion about whether to open-source the tool vs. turning it into a business; no clear decision.
- Some envision paid “pro” features (checklists, extensions, advanced navigation) as a possible path.