LetoReader

LetoReader

LetoReader is a self-hosted speed reading tool that uses RSVP segmented display and rhythm control to improve reading speed while reducing eye fatigue. Supports importing text from URLs, files and clipboard, modern interface, local storage, configurable parameters and focus mode allow you to freely switch between efficient browsing at 400 - 1000 words/minute and low-speed intensive reading.

302GitHub
Description

·Import content: From URL: Click Import → Enter the web page or original text link to confirm the import. Local file: Select.pdf/.md/.txt/.html/.epub and wait for the parsing to complete. clipboard: Select Clipboard in the import panel to paste the text directly. ·Set reading parameters: Speed: Adjust WPM to the appropriate range. It is recommended to start from 300 - 400; increase it to 600+ after proficiency. Partitioning and highlighting: Select the chunk size and the "central letter" highlight to reduce backviews. Rhythm and pauses: Fine-tune the pause ratio to make a slightly longer pause at the end of the sentence and at the comma to improve understanding. ·Enable focus mode: Switch Focus mode to weaken interference elements, suitable for long texts or technical documents. · RSVP chunking and highlighting: Flash word/phrase by word, automatically highlighting key positions and reducing flashbacks and silent reading. ·Adjustable rhythm and speed: Smooth switching between high-speed scanning and low-speed understanding, supporting precise WPM settings. ·Focus mode: An interface layout and style optimized for attention deficit or dyslexia. ·Multi-format import: supports URL,.pdf/.md/.txt/.html/.epub, clipboard, and GET request body. ·Local storage and privacy: There is no external API dependence, and settings and content are only saved locally to the browser. ·Responsive modern UI: Minimalist design, good interaction, available on both desktop and mobile. ·Self-hosted and open source: Docker can be deployed in one click, licensed by GPL v3. ·Non-interference reading: Fixed speed and single focus reduce cognitive burden and eye fatigue.

Screenshots
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App Information
Version
3.0.0
Package Size
74.67 KB
Updated
October 14, 2025
Source Code
Axym-Labs
Platform Support
PC
Keywords
speed readingRSVPBlazorself-hostedproductivityreading