youtube-cue
kindle_clippings_webapp
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youtube-cue | kindle_clippings_webapp | |
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3 | 5 | |
14 | 7 | |
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6.4 | 7.2 | |
5 months ago | about 1 month ago | |
JavaScript | JavaScript | |
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youtube-cue
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Ask HN: What apps have you created for your own use?
> CLI: I wanted to download songs from youtube, but they were often stitched as complete albums - so I wrote a youtube-cue generator that generates cuesheets that can then be used to split and tag the yt-dlp downloaded audio file. (https://github.com/captn3m0/youtube-cue)
Thanks for this! I need to do some testing, this might automate the last manual step of my own script for converting YT mixes into distinct tracks. The problem I faced is that often the timestamps are not in the description, but instead in a comment, sometimes not even the pinned/top voted comment. That is why I paste it in via stdin for now.
As this fits the thread topic, a short description of this script. I enjoy YT mixes and wanted to listen to them in my car. I can use an USB stick with media files and playlists which are displayed decently by the infotainment system. I wrote a script that takes in a YT URL (or anything supported by yt-dlp), downloads & converts it to mp3, splits the mp3 file based on a list of timestamps, recognizes (tries to anyway) the songs via SongRec [0], tags & names the files correctly and finally generates an M3U playlist in the format recognized by my car. I use song recognition instead of parsing out the names from the timestamped list as the format of Artist - Title is nearly always slightly different. It was easier to use SongRec instead and get everything I need for tagging with >90% hit rate.
The heavy lifting is done by calling out to yt-dlp, ffmpeg and SongRec. I just glued them together with Python. I like your approach of a do one thing well and might add youtube-cue to the toolset.
[0] https://github.com/marin-m/SongRec
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Beets is the media library management system for obsessive music geeks
Beets is amazing and comes with great defaults. I wrote code recently to generate CUE sheets from YouTube mixes[0] and beet imports it nicely and easily.
[0]: https://github.com/captn3m0/youtube-cue There is a bash snippet in readme to show the Beets integration.
kindle_clippings_webapp
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Simple Lasts Longer
This is the approach I use in most of my hobby projects. It's simpler, and faster and there are no loading screens.
In my kindle-clippings-manager (https://github.com/karlosos/kindle_clippings_webapp) I import highlights from Kindle and store them in localStorage. The major drawback is a size limitation (10MB). This should not be a problem in most cases but if you need to store more data then indexedDB (Web Storage) can solve the issue.
Linear (https://linear.app/) uses its sync engine to store the data in Web Storage. With optimistic updates, it feels like an offline app. You can read more about the sync engine here: https://news.ycombinator.com/item?id=36519448
- Ask HN: What apps have you created for your own use?
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My react app for managing kindle clippings
Live demo • Source code
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I made an app to manage my kindle clippings (demo data available)
Source code: https://github.com/karlosos/kindle_clippings_webapp
What are some alternatives?
picard - A cross-platform music tagger powered by the MusicBrainz database. Picard organizes your music collection by updating your tags, renaming your files, and sorting them into a folder structure, exactly the way you want it.
full-text-tabs-forever - Full text search all your browsing history
stag - public domain utf8 curses based audio file tagger
clipzoomfx - Side-project for extracting highlights from (mostly sports) videos
gnar - frp-like Tool with AutoHTTPs Subdomain Proxy
BeetsPluginStructuredCommen
notifeed - Watch RSS/Atom feeds and send push notifications/webhooks when new content is detected
stag - STag: A Stable Fiducial Marker System
soundfingerprinting - Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
BeetsPluginStructuredComments
toybox - Opinionated TALL stack starter kit for Laravel solopreneurs