Docling

Docling is an open-source document intelligence toolkit designed to extract, parse, and convert content from PDFs, Microsoft Office documents, HTML, Markdown, and images into structured, AI-ready formats. It enables developers and data engineers to prepare high-quality document data for large language models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, knowledge management, and document analytics workflows.

Features of Docling:

• Extracts text, tables, figures, lists, and metadata from PDFs and Office documents.
• Supports multiple input formats including PDF, DOCX, PPTX, XLSX, HTML, Markdown, and images.
• Preserves document structure, layout, headings, and hierarchy during conversion.
• Exports content into AI-friendly formats such as Markdown and JSON.
• Supports OCR for scanned documents and image-based PDFs.
• Optimized for LLM, RAG, semantic search, and vector database workflows.
• Provides a modular and extensible architecture for custom document processing pipelines.
• Suitable for enterprise document automation, knowledge extraction, and intelligent document analysis.

Usage Instructions:

Activate Virtual Environment
$ sudo su
$cd ~/docling
$ source docling-env/bin/activate

Verify installation:
$ docling --version

Disclaimer: Docling is open-source software provided under the Apache License 2.0. It is offered "as is," without any express or implied warranty. Users are responsible for configuring, securing, and maintaining their Docling deployment, including any OCR engines, AI models, and external dependencies, and for ensuring compliance with all applicable licensing, security, and usage requirements.