Transform Any Document into LLM-Ready Data: Top Parsing Libraries Revealed
In the era of large language models (LLMs), turning unstructured documents like PDFs, Word files, images, and spreadsheets into clean, structured formats such as Markdown or JSON is essential for effective Retrieval-Augmented Generation (RAG) pipelines, fine-tuning, and AI knowledge bases.[1][2][3] Poor parsing leads to “garbage in, garbage out”—destroying tables, hierarchies, and images that cripple model performance.[3] This comprehensive guide explores top document parsing libraries, starting with Docling, and provides code examples, comparisons, and resources to supercharge your LLM workflows. ...