Document Extraction
A curated collection of the best tools that pull text, tables, and structure out of PDFs, Office files, and images for search and AI pipelines.
Quick answer
Document extraction depends on the file types and downstream use. Docling fits layout and structure extraction, Unstructured fits RAG-oriented elements, and Apache Tika fits broad format detection and text extraction across many file types.
Frequently asked questions
What does document extraction mean?
Document extraction turns content in files into data that software can use, such as text, tables or metadata. Results depend on the file format and parser. Scanned pages may need OCR; a library’s support for a format does not guarantee perfect layout or field extraction.
Sources (checked ): Docling overview; Apache Tika overview
What are some free data extraction tools?
Docling provides MIT licensed code for converting documents, including PDF processing and OCR. Its model artifacts have their own licenses. Apache Tika provides Apache 2.0 licensed parsers for text and metadata. Local compute and any optional remote model or API services can add costs.
Sources (checked ): Docling overview and licensing; Apache Tika overview and licensing