Document AI Toolkit

Document AI Toolkit Turn unstructured documents into structured, queryable data. This toolkit provides complete pipelines for parsing PDFs, extracting tables, running OCR on scanned documents, summarizing long-form content, and pulling structured fields from invoices, contracts, and reports. Built as composable pipeline stages so you can mix, match, and extend for your specific document types. Key Features PDF Parsing Engine — Extract text, metadata, and layout information from PDFs with support for multi-column layouts and embedded images OCR Integration — Process scanned documents and images with configurable OCR backends (Tesseract, cloud APIs) and pre-processing for skew correction Table Extraction — Detect and extract tables from PDFs and images into pandas DataFrames or CSV, handling merged cells and spanning headers Summarization Chains — Multi-stage summarization for long documents: chunk → summarize → merge, with configurable compression ratios Structured Data Extraction — Def