Local CSV
CSV tools that never leave your browser
What it does
Local CSV is a free, browser-based suite of CSV tools — clean, dedupe, convert, and reshape spreadsheet data entirely on your device. No sign-up, no file uploads, no server ever touches your data. Part of the LMSTools.cloud family.
Clean, deduplicate, format, and filter CSV spreadsheets directly in your browser. 100% private client-side processing with zero server uploads.
Clean, deduplicate, format, and inspect large CSV files directly on your device. Powered by Web Workers for seamless performance without freezing your browser. Supports CSV, TSV, or plain text spreadsheet exports up to 100MB+. Traditional online spreadsheet tools require you to upload proprietary customer records, financial rosters, and email lists to a remote cloud server. Local CSV redefines spreadsheet engineering by executing all parsing, deduplication, string trimming, and format transformation natively in your web browser using HTML5 File APIs and streaming Web Workers. Whether you need to scrub 500,000 lead rows before importing into a CRM or fix corrupted accented characters, your…from localcsv.space
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Life & fun · 10d ago · louisabraham.github.io
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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.
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