Get your documents ready for gen AI

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Parse files for optimal RAG

Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

A Unified Toolkit for Deep Learning-Based Table Extraction

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Tool for converting First National Bank (FNB) bank statement PDFs into useful structured data

PhraseSpeaker: Effortlessly dictate specific sections of text files with macOS's text-to-speech. Perfect for navigating and audibly extracting key content from large documents!

Repository for testing and demonstrating the capabilities of Docling for document conversion.

Parsing Documents to one datatype (Typescript port of Docling)

AI-powered Financial Report Analysis Engine

Applicant Tracking System (ATS): A powerful platform leveraging generative AI and soft-match algorithms to analyze resumes against job descriptions. Built with React and Node.js, it streamlines hiring insights. Future plans include expanding to investor pitches and other structured documents.

Data Structure and Class to ease Parsing of Complex Documents.