v0.1.0

Hemingway tells you where your writing is hard. FralRater tells you who it's too hard for — and shows you the fix.

FralRater is a 100% offline desktop app that scores your text for specific
readers, maps exactly where readers get lost, and rewrites the hard parts —
all locally, with zero network calls and no AI. Your text never leaves your
machine.

What's in 0.1.0

• Analyze — Flesch-Kincaid grade, reading ease, Gunning fog, SMOG,
  jargon count + per-100-word density, long-sentence & passive-voice
  ratios, hard-word percentage
• Audience — fit scores for 8 reader personas (child, general public,
  professional, executive, patient, developer, legal, academic) with
  per-paragraph confidence bars
• Lost Reader map — difficulty curve showing exactly where sentences
  get hard
• Rhythm heatmap — monotonous / choppy / varied sentence-length patterns
• Actionability — does the text tell the reader what to do next?
• Accessibility — flags jargon-heavy and passive-heavy text
• Rewrite — offline rule-based rewriting: passive-voice flip,
  buried-lead fix, jargon swaps, sentence splitting, sentence-by-sentence
  diff, and Before/After grade cards
• Compare — two-version radar chart + head-to-head metric table
• Standalone desktop window (Electron) with right-click Cut/Copy/Paste
• Voice-note input (Chrome/Chromium Web Speech API)

Downloads

Platform	File	How to install
Linux (any distro)	FralRater-0.1.0-linux-x86_64.AppImage	chmod +x then double-click
Linux (Debian/Ubuntu)	FralRater-0.1.0-linux-amd64.deb	double-click or sudo dpkg -i
Linux (Fedora/RHEL)	FralRater-0.1.0-linux-x86_64.rpm	double-click or sudo rpm -i
Windows	FralRater-0.1.0-win-x64.exe	run the installer
Windows (no install)	FralRater-portable-0.1.0-win-x64.zip	unzip, run FralRater.exe

Quick start

# Linux AppImage
chmod +x FralRater-*.AppImage && ./FralRater-*.AppImage

# or run from source
git clone https://github.com/fralsare/FralRater && cd FralRater
npm install && npm start

Full user manual: MANUAL.md

🙏 Support open-source tool development

Your donation keeps this project maintained and funds new open-source
projects, while supporting my CyberSecurity studies. Even a small amount
makes a real difference. Thank you for supporting independent open-source
work!

• PayPal — https://paypal.com/ncp/payment/KKFBWQP97XUCN
• Razorpay — https://rzp.io/rzp/TdksERz

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MIT License · 100% local · No telemetry · No network calls · Built with
Electron by Fralsare