SYYANI

SYYANI / Freddie

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Freddie is a macOS paper reader with LLM translate

12
0
100% credibility
Found Apr 13, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Swift
AI Summary

Freddie is a macOS app for importing, reading, and AI-translating academic papers from arXiv or local PDFs, with bilingual views and note-taking.

How It Works

1
📱 Discover Freddie

You find Freddie, a friendly Mac app for easily reading and understanding research papers.

2
🔧 Set up on your Mac

Install and launch Freddie to create your personal paper library.

3
Add your first paper

Enter an arXiv number or drop in a PDF to start building your collection.

4
📖 Read comfortably

Enjoy clean HTML or PDF views that make papers easy on the eyes.

5
⚙️ Connect translation helper

In settings, link a smart translation service to understand papers better.

6
Pick translation style
HTML blocks

Translate reading-friendly web pages piece by piece.

📄
Full PDF

Transform entire PDFs into your chosen language.

Seamless understanding

Read side-by-side originals and translations, take notes, and stay organized.

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Star Growth

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AI-Generated Review

What is Freddie?

Freddie is a macOS app for reading academic papers from arXiv or local PDFs, with built-in LLM-powered translation to languages like Chinese. It pulls arXiv papers by ID, prefers clean HTML views when available, and handles PDF reading in single, dual, or translated modes using tools like BabelDOC. Built in Swift with SwiftUI and SwiftData, it keeps everything local-first—your library, notes, and translation cache stay on your Mac.

Why is it gaining traction?

Unlike generic PDF viewers, Freddie smartly imports arXiv HTML for better readability and semantic block translation, skipping messy full-PDF extraction. Multi-provider LLM routing (OpenAI-compatible endpoints) and incremental HTML updates mean fast, resumable translates without browser tabs or clunky copy-paste. Developers dig the polished SwiftUI workflows for library management, progress tracking, and bilingual side-by-side views.

Who should use this?

Academics and researchers on macOS scanning arXiv papers in English but needing quick Chinese (or other) translations. ML engineers evaluating LLM translation pipelines on real papers. SwiftUI devs prototyping reader apps or wanting a local-first SwiftData example with arXiv integration.

Verdict

Try Freddie if you're on macOS 14+ and need a dedicated paper reader with translate—it's functional out of the box with solid tests and MIT license. At 12 stars and 1.0% credibility, it's early-stage (rough setup with xcodegen), so expect tweaks, but the core workflows shine for niche use.

(187 words)

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