ViacheslavSysoev

ViacheslavSysoev / perevodnik

Public

Open-source инфраструктура автоматического перевода книг через Claude Code.

books claude translation
14
5
100% credibility
Found Jun 01, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Perevodnik is an automated book translation pipeline that extracts content from PDF books, sets up a structured translation workspace, tracks progress across multiple translators and reviewers, and generates a published book website when complete.

How It Works

1
📚 You find a book worth sharing

You discover an interesting book that isn't available in your language yet and decide to translate it for others.

2
🚀 You start a new translation project

You run a simple command to create a new workspace for your book translation, and the system sets up everything automatically.

3
📄 Your book gets unpacked

The system carefully extracts all the text, page images, and illustrations from your PDF so nothing is lost during translation.

4
🗂️ Your workspace is ready

A tidy folder structure appears with placeholders for each chapter, a glossary, and translation guidelines to keep everything organized.

5
You translate section by section
📝
Working on a section

You translate a section and mark it as in progress so you can pick up where you left off later

🔍
Reviewing a section

Another person checks your translation and marks it as ready for final assembly

✅
Section is complete

The section passes final checks and is marked as done, ready to appear in the finished book

🌐 Your translated book is published

Once all sections are complete, your book appears as a beautiful website that anyone can read online.

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AI-Generated Review

What is perevodnik?

Perevodnik is an open-source Python pipeline for automated book translation powered by Claude AI. It takes a PDF, extracts text and images, then orchestrates a multi-stage translation workflow with translators, reviewers, and assemblers. The system tracks progress through defined states, generates MkDocs documentation sites, and supports parallel translation teams. All of this runs through Claude Code agents, making it a self-hosted alternative to proprietary translation services.

Why is it gaining traction?

Developers are drawn to the idea of owning their translation infrastructure rather than relying on third-party services. The pipeline approach means you can translate a book in parallel with multiple agents, track exactly where you are in the process, and automatically generate a published site when done. The integration with Claude AI handles the actual translation work while the scripts handle the tedious book-keeping.

Who should use this?

Technical writers and documentation teams working with multilingual content. Open-source maintainers translating documentation into Russian. Publishers or individuals who own translation rights and want to automate the process. Anyone comfortable with experimental tooling who wants to experiment with AI-powered book translation.

Verdict

The 1.0% credibility score reflects a very early-stage project with minimal community validation. With only 14 stars, this is essentially a personal experiment that happens to be public. The code is functional and the architecture makes sense, but there's no test suite visible, documentation is sparse, and the project appears to be designed specifically for Russian-language output. Worth watching if you're interested in the intersection of AI agents and publishing, but not ready for production use.

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