Feather-2/Burner-X

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1750 stars · 750 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Paper Burner X is a browser-based AI workstation for processing, translating, and analyzing academic documents like PDFs, DOCX, PPTX, and EPUBs. It runs entirely client-side with BYOK (bring your own key) model endpoints, offering OCR, format-preserving batch translation, terminology glossaries, and an agentic RAG system for long-document Q&A.

Use cases

• translate academic pdfs preserving formulas and layout
• ocr scanned papers and extract text
• batch translate many documents at once
• ask questions about a long paper with an ai agent
• maintain a terminology glossary for consistent translation
• read papers side-by-side with aligned translations
• extract structured data from papers into a literature matrix
• import documents from github or urls for processing

When to choose

• you need privacy-first, fully client-side document translation and analysis
• you want to bring your own AI API keys and model endpoints
• you regularly read foreign-language academic papers with formulas and figures
• you need batch OCR and translation with terminology consistency

When to avoid

• you need a lightweight minimal pdf reader without AI features
• you require a mature backend/server deployment today (Docker backend still in development)
• you need offline operation right now rather than in the future
• you want multi-document synthesis, which is still a planned milestone

Facets

application · maturity active

ocr nlp rag agent-framework machine-learning pdf internationalization file-upload pdf education artificial-intelligence developer-tools self-hosted browser self-hosted pdf-translation academic-reading byok bring-your-own-key document-processing terminology-glossary agentic-rag client-side literature-review ocr-translation natural-language-processing web-server docker javascript

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Feather-2/Burner-X")