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Kreuzberg: A Polyglot Document Intelligence Framework with a Rust Core
Kreuzberg is a powerful polyglot document intelligence framework built with a high-performance Rust core. It enables extraction of text, metadata, and structured information from over 50 file formats, including PDFs, Office documents, and images. Developers can leverage Kreuzberg across multiple languages like Rust, Python, Ruby, Go, and Node.js, or utilize it via CLI, REST API, or MCP server.
Marker: High-Accuracy Document Conversion to Markdown and JSON
Marker is an open-source Python tool designed for high-accuracy conversion of documents like PDFs, images, and office files into Markdown, JSON, and HTML. It excels at preserving complex formatting, extracting images, and can leverage LLMs for even greater precision. This makes Marker a powerful solution for structured document intelligence.
Ollama-OCR: Advanced OCR with Vision Language Models via Ollama
Ollama-OCR is a robust Python package and Streamlit application for Optical Character Recognition. It leverages state-of-the-art vision language models, accessible through Ollama, to accurately extract text from both images and PDF documents. The tool offers extensive features including support for multiple models, various output formats, and batch processing capabilities.