LiuMengxuan04

LiuMengxuan04 / translate-paper-pdf-to-md

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Translate English academic PDF papers into polished target-language Markdown documents while preserving figures, tables, equations, citations, and document structure. Use when Codex is asked to turn an English research PDF into a localized .md paper with extracted visual assets and editable reconstructed content.

16
0
85% credibility
Found May 19, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project is a specialized translation tool that converts English academic research papers into polished Markdown documents in any target language. It carefully preserves all the important elements that make academic papers useful: chapter headings, figure and table labels, mathematical equations, citations, and reference lists. The tool extracts images from the PDF, rebuilds the document structure, asks you about your translation preferences (language, academic field, tone), and produces a clean, editable result that works well for reading, sharing, or converting to other formats. It includes helper scripts to prepare PDFs for translation and validate the final output.

How It Works

1
📚 You discover a brilliant research paper

While reading, you find an English academic paper that would be perfect for your research, but you need it in your own language.

2
🛠️ You set up the translation assistant

You install the skill into your AI assistant so it knows exactly how to handle academic papers with all their charts and formulas.

3
📄 You share your PDF paper

You simply tell your assistant which paper to translate and point it to the PDF file on your computer.

4
💬 Your assistant asks about your preferences

Before translating, your assistant asks what language you want, what field the paper is about, and how formal or casual the tone should be.

5
The magic happens automatically
📊
Figures and tables are extracted as images

Charts and tables from the original paper are saved separately so they stay clear and readable

🔤
Key terms are handled consistently

Specialized words are translated appropriately for your field while important English terms are kept where needed

6
✅ Everything is checked and validated

Your assistant verifies that all images are linked correctly, all references are in place, and the document structure is complete.

🎉 You receive a polished, editable document

You get a beautiful Markdown file with your translated paper that you can read, edit, share, or convert to any format you like.

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AI-Generated Review

What is translate-paper-pdf-to-md?

This is a Python-based workflow for converting English academic papers into polished Markdown documents in any target language. It goes beyond basic PDF-to-text extraction by preserving the structural elements that matter in research papers: figure and table numbering, equation formatting, citations, and references. The system asks about your translation preferences upfront—target language, paper field, terminology strategy, and tone—then rebuilds the document as editable Markdown with extracted images and properly formatted LaTeX equations. Two command-line scripts handle the heavy lifting: one extracts text and page images from PDFs, the other validates that your final Markdown has no broken asset links.

Why is it gaining traction?

Academic translation is notoriously difficult because papers have complex structure that generic translators destroy. This tool explicitly addresses that pain point by keeping section hierarchies intact, rebuilding tables as Markdown, and preserving original figure labels while translating captions and body text. The preference-gathering step before translation is clever—it forces better results by establishing context rather than blindly converting. The token cost estimate (roughly $0.70 for a 23-page paper) gives developers a realistic expectation before committing.

Who should use this?

Researchers publishing in non-English journals who need editable, well-structured documents. Localization teams handling academic content. Graduate students translating papers for literature reviews. Anyone who has tried Google Translate on a PDF and gotten back a broken mess of misaligned figures and lost citations.

Verdict

A thoughtful tool for a specific niche problem, but the 0.85% credibility score and 16 stars signal early-stage development with limited community validation. The documentation is solid and the workflow design is sound, but test coverage and maintenance history are unknown. Try it for a single paper before committing to it for a project.

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