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Cake day: April 27th, 2025

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  • I appreciate your thoughtful critique of AI tools and their limitations. You’re right that voice-to-text technology isn’t perfect, especially with accents and pronunciation variations. These are genuine challenges that need addressing. There are so many tools about AI transcript, such as transcriptly, those tools can extract the text subtitle by AI, but just text, no accents and pronunciation variations.

    Your point about human engagement in learning is crucial. AI should augment human capabilities, not replace the critical thinking and problem-solving skills that come from active participation.

    Privacy and data security concerns you raise are absolutely valid. Any AI tool worth using should prioritize user privacy with transparent policies and robust protection measures.

    The key is finding the right balance - using AI for what it does well (like initial transcription) while maintaining human oversight for quality, context, and meaning. For instance, while tools can convert speech to text, humans are still needed to interpret, organize, and apply that information meaningfully.

    What specific aspects of AI technology would you like to see improved to better serve human needs while addressing your concerns?


  • Absolutely understand your pain—manually importing, editing, and organizing YouTube videos for Plex or Jellyfin can get overwhelming fast, especially with large playlists! Here are some ideas:

    1. Tube Archivist
    This is a self-hosted solution designed exactly for archiving YouTube content. It’s Docker-based and has a web UI, so you don’t need to mess with command-line scripts if you don’t want to.
    https://www.tubearchivist.com/

    2. YoutubeDL-Material
    Another web-based frontend for yt-dlp/youtube-dl. https://github.com/Tzahi12345/YoutubeDL-Material

    3. yt-dlp with Metadata Options
    If you’re open to a little scripting, yt-dlp can be used. You can then use small scripts to import this info into Plex/Jellyfin, or at least batch rename and organize files.

    4. Transcript Extraction
    If you want to save transcripts for reference or searching, Transcriptly can help automate that part.

    Hope this helps you reclaim your time and enjoy your video collection more!



  • Absolutely, there are a few solutions that can help you automate YouTube channel subscriptions and downloads without reinventing the wheel!

    1. yt-dlp + yt-dlp-scripts:
    yt-dlp is a modern fork of youtube-dl with more features and better maintenance. You can set up a simple cron job or scheduled task to check your subscribed channels’ RSS feeds and download new videos automatically. There are plenty of scripts and guides out there for this workflow.

    2. Tube Archivist:
    This is a self-hosted YouTube archiving solution with a web interface. It can subscribe to channels, automatically download new videos, and even integrates with Jellyfin for media management. It’s Docker-based and pretty user-friendly.

    3. YoutubeDL-Material:
    Another web-based frontend for youtube-dl/yt-dlp. It supports subscriptions, automatic downloads, and has a nice UI. You can set it up with Docker as well.

    If you ever want to grab transcripts along with your videos, tools like Transcriptly can help automate transcript extraction.

    Tube Archivist is probably the closest to what you want, especially with Jellyfin integration. Otherwise, a simple yt-dlp script and a cron job can get you 90% of the way there.



  • This is awesome—thanks for sharing your project! I totally get the struggle of finding a YouTube downloader that checks all the boxes, so it’s great to see someone building a solution that’s easy to deploy with Docker and has a user-friendly interface.

    One feature I’d personally love to see is transcript support. Being able to download not just the video, but also the YouTube transcript (or even auto-generate one for videos without captions) would be super useful for people who want to archive or search video content. Maybe integration with something like Transcriptly or OpenAI’s Whisper could be an interesting addition down the line.

    Anyway, thanks again for making this open source! I’ll give it a try. Looking forward to seeing how this project evolves!


  • https://www.youtube.com/watch?v=JbiIBcUD1VY This video provides a step-by-step guide on how to revert a new, undesirable layout to a previous version. The instructions are presented in a sequential manner, utilizing links provided in the video description to install necessary components and configure settings.

    • Step 1-4: Clicking on links provided in the description to install required elements (likely browser extensions or related software).
    • Step 5: Another click on a link in the description to install an additional component.
    • Step 6: Accessing the installed extension’s settings and applying a filter provided by the creator (presumably to address a specific visual issue).
    • Refresh: Refreshing the webpage to apply the changes.
    • Issue: The fix may remove access to the sidebar if used, a sacrifice the user must make.

    use the transcriptly to get this video transcript and summary.


  • MichaelMuse@programming.devtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    The central takeaway is a critical examination of copyright’s history and its current relevance in the digital age. The speaker promotes a shift in the conversation towards a model of creativity and distribution decoupled from traditional copyright, emphasizing that copyright was historically designed to protect distribution channels rather than support artists. He argues that the internet’s capabilities render those mechanisms obsolete and calls for a new understanding of creativity, free from the constraints of the current copyright system. Ultimately, the speaker urges the audience to question the widely held beliefs about copyright and to support the free flow of information. The youtube video is summarized by transcriptly







  • You make a great point about the importance of transcripts for accessibility, research, and content discovery. It’s frustrating when third-party transcript services end up behind restrictive platforms like Cloudflare, which can limit access even more than YouTube itself.

    I’ve also run into the “Transcript is disabled on this video” issue on several sites, including youtubetranscript.io. Sometimes, it’s because the video owner has disabled captions, or the video is too new for transcripts to be generated.

    There are a few alternative tools worth checking out, like Transcriptly, Otter.ai, and Rev.com, which sometimes do a better job at extracting or generating transcripts, even for videos where the default YouTube transcript is missing or restricted.

    I really like your idea of Lemmy (or Invidious) automatically fetching and displaying transcripts for shared YouTube links, maybe hidden behind a spoiler tag for those who want it. That would be a huge step forward for accessibility and usability. Hopefully, more platforms will consider integrating this kind of feature in the future!