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AtlasRepo

LazyReader – a TL;DR machine that runs entirely in your browser

Description and use

LazyReader is a browser‑only web app that downloads a DistilBART model once and then summarizes long text locally, preserving privacy and eliminating server dependencies.

Problem

Users want to quickly understand long articles without sending text to external servers or requiring API keys.

Outcome

LazyReader provides instant, privacy‑preserving summarization of any long text directly in the browser, with no backend, no API keys, and no tracking.

Workflow

  • Paste article text into the textarea
  • Select desired TL;DR length (short, medium, long)
  • Click "Summarize for me"
  • The app downloads the model on first run, then performs local inference
  • Displays the TL;DR and offers a copy button

Evidence

LazyReader is a tiny web app that summarizes any long article right in your browser.

Source

The AI model downloads once into your browser cache and from then on everything, including the inference itself, happens on your machine.

Source

Built with Transformers.js and the open-weight DistilBART model. No accounts. No tracking. No servers.

Source

  • Record date: 2026-10-21T23:11:13.254Z