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funstory-ai/BabelDOC

Yet Another Document Translator observed · 2026-08-28

github.com/funstory-ai/BabelDOC · homepage · Python · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

81/100

  • Activity 96
  • Release rhythm 81
  • Longevity 47
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 658
  • days_rel: 48
  • days_push: 28
  • n_releases_24m: 210

Full methodology

Adoption not part of the score

9408 stars · 779 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

BabelDOC is a Python library and CLI tool for translating PDF scientific papers with bilingual comparison output. It uses LLM-based translation (e.g., OpenAI models) and is designed to be embedded into other programs or used directly for simple translation tasks.

Use cases

  • translate scientific papers from pdf
  • create bilingual pdf documents
  • translate academic papers with llm
  • batch translate pdf files from the command line
  • embed pdf translation into another application
  • use pdf translation in zotero

When to choose

  • you need to translate PDF research papers while preserving layout
  • you want side-by-side bilingual output of the original and translated text
  • you need a Python API or CLI for programmatic PDF translation
  • you want a self-hostable alternative to online document translators

When to avoid

  • you need to translate non-PDF formats like Word or EPUB
  • you want a polished end-user web app rather than a library or CLI
  • you cannot provide an LLM API key or self-hosted translation service
  • your PDFs are scanned images without extractable text

Facets

library · maturity active

pdf nlp cli parser pdf developer-tools education python cli cross-platform pdf-translation bilingual-comparison scientific-papers llm-translation document-translator natural-language-processing

3 sources

Member repositories

RepositoryRoleHealth v2
funstory-ai/BabelDOCmain81

For agents

markdown · JSON · MCP: product_card(name="funstory-ai/BabelDOC")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem