docling-project / docling

项目摘要

Docling is a Python library that simplifies document processing by parsing a wide variety of formats—PDF, DOCX, PPTX, XLSX, HTML, images, emails, and more—and converting them into structured, generative AI-friendly outputs. It offers advanced PDF understanding including layout, tables, formulas, and reading order, and integrates seamlessly with the AI ecosystem.

为什么值得关注

Its broad format support combined with deep PDF analysis and AI-focused output makes it a go-to tool for feeding documents into LLM pipelines, and it has rapidly gained traction with over 68k stars and active development.

优势

• Extensive multi-format document parsing (PDF, DOCX, PPTX, XLSX, HTML, EPUB, images, emails, etc.)
• Advanced PDF understanding with layout, table structure, reading order, formulas, and image classification
• Native integration with the generative AI ecosystem for LLM-ready output
• Active community with 279 contributors, CI, tests, Docker, and frequent releases
• MIT license and backed by a research paper

局限性

• Very new project (created July 2024) with potential API instability due to rapid 53 releases in 6 months
• Computational requirements may be high for some advanced features (e.g., formula recognition, image classification)
• Still maturing in terms of long-term stability and edge-case handling

使用场景

• RAG pipelines to ingest and chunk complex documents for retrieval
• Enterprise document digitization and conversion into structured formats (JSON, Markdown, HTML)
• Preprocessing documents for training data generation in LLMs
• Building chatbots with document-based knowledge bases