Fabel
Edit video by editing text
What it does
Fabel is a text-based video and audio editor heavily geared towards a broadcast television workflow.
Edit video by editing text. Transcribe, search and turn interviews into finished clips in minutes with Fabel
Turn interviews into finished clips in minutes, not hours. Search, highlight and cut video through a fast text-based workflow. Built for creators, journalists and media teams working with spoken content. Fabel helps you find the best moments in interviews, podcasts and spoken-word video without scrubbing through a timeline. Search the transcript, click any word, highlight a section and turn it into a clip with frame-accurate timing. Skip the timeline scrubbing. Go straight from transcript to video and keep moving. Search quotes, names and phrases across your transcript so strong moments surface fast. Highlight text to define your edit, then turn selected words into real clips and sequences.…from fabel.tv
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com