Docling Preps Your Files for GenAI, RAG, and Beyond (www.docling.ai)

Docling is a document-prep toolkit that ingests PDFs, DOCX, PPTX, XLSX, HTML, images and audio, then outputs a unified DoclingDocument format you can export as Markdown, HTML, DocTags or lossless JSON. It emphasizes deep PDF understanding (layout, reading order, tables, code blocks and formulas), OCR for scanned docs, and ASR for audio, plus compatibility with visual language models via “SmolDocling.” The tool runs locally for sensitive or air-gapped environments, offers a simple CLI, and plugs into popular pipelines and libraries like LangChain, LlamaIndex, Haystack and Langflow. For AI/ML practitioners building RAG, GenAI or knowledge‑base systems, Docling addresses a common bottleneck: noisy, poorly structured source data. By preserving document structure and semantics (tables, formulas, code) and exporting lossless JSON, it enables more accurate chunking, contextual retrieval, and embedding—reducing preprocessing toil and downstream hallucinations. Local execution and broad integrations mean enterprises can adopt it securely and quickly, while multimodal support (OCR, ASR, VLMs) lets teams index mixed media into the same retrieval pipeline. In short, Docling streamlines the bridge from raw files to production-ready retrieval and generation workflows.