All Tools
D
DataFreemiumOpen Source
DOCSTRANGE
Convert any document to clean LLM-ready Markdown and structured data
MIT
ABOUT
Preparing unstructured documents for LLM consumption is a bottleneck — PDFs, scanned images, and complex layouts resist clean extraction. Docstrange combines OCR, layout detection, and a dedicated vision model to convert documents into structured formats (Markdown, JSON, CSV) suitable for RAG pipelines, without relying on external cloud APIs. It handles tables, multi-column layouts, and handwritten text on GPU or CPU.
INSTALL
pip install docstrangeINTEGRATION GUIDE
1. Convert scanned PDFs and document images into clean Markdown for indexing in RAG knowledge bases
2. Extract structured JSON data from invoices, receipts, and forms using schema-based extraction
3. Prepare document corpora for LLM fine-tuning by converting diverse file formats into consistent text
4. Parse complex tables with merged cells and multi-column layouts from academic papers and reports
5. Enable privacy-sensitive document processing by running entirely on local infrastructure
TAGS
document-parsingocrpdfmarkdowndata-extractionpythonllmrag