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VOOZH | about |
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
A fast, helpful, and open-source document parser
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
yft-design is a powerful, visually stunning online design tool built with Vue3, fabric.js, and Element Plus. 基于fabric.js的开源版【稿定设计】。一款美观且功能强大的在线设计工具，具备海报设计和图片编辑功能。适用于多种场景，如海报生成、电商产品图制作、文章长图设计、视频/公众号封面编辑等 。
Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.
Easily deployable 🚀 API to convert PDF to markdown quickly with high accuracy.
Easily deployable and scalable backend server that efficiently converts various document formats (pdf, docx, pptx, html, images, etc) into Markdown. With support for both CPU and GPU processing, it is Ideal for large-scale workflows, it offers text/table extraction, OCR, and batch processing with sync/async endpoints.
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
📄 Production-ready MCP server for PDF processing - 5-10x faster with parallel processing and 94%+ test coverage
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
Parse PDFs into markdown using Vision LLMs
Python PDF parser for scientific publications: content and figures
A diffusion-based framework for document OCR that replaces autoregressive decoding with block-level parallel diffusion decoding.
Analyze PDFs with colors (and YARA)
A package for parsing PDFs and analyzing their content using LLMs.
📄🔍 Parse, extract, and analyze documents with ease 📄🔍
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