xberg-io/xberg

Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.

📄🔍 Parse, extract, and analyze documents with ease 📄🔍

Dedoc is a library (service) for automate documents parsing and bringing to a uniform format. It automatically extracts content, logical structure, tables, and meta information from textual electronic documents. (Parse document; Document content extraction; Logical structure extraction; PDF parser; Scanned document parser; DOCX parser; HTML parser

Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM

A Repo For Document AI

LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

Extract structured data from PDFs, Word docs and images. Embeddable directly into your application, regardless of the stack.