A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
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 。A beautiful and powerful online design tool
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
Easily deployable 🚀 API to convert PDF to markdown quickly with high accuracy.
Python PDF parser for scientific publications: content and figures
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.
Parse PDFs into markdown using Vision LLMs
Analyze PDFs. With colors. And Yara.
A package for parsing PDFs and analyzing their content using LLMs.
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
A python client for the Sypht API
Parser for Consolidated Account Statements (CAS) generated from CAMS/Karvy/Kfintech
A Java client for the Sypht API
Sample code for the Datalogics C++, Java, and .NET interfaces of the Adobe PDF Library
C# and VB.NET samples for Docotic.Pdf library
Next.js template for seamless PDF parsing using pdf2json and FilePond. Ideal for developers seeking a ready-to-use solution for PDF content extraction in Next.js projects.
PDF parsing toolkit for preparing academic text corpus
smart-llm-loader is a lightweight yet powerful Python package that transforms any document into LLM-ready chunks. Spend less time on preprocessing headaches and more time building what matters. From RAG systems to chatbots to document Q&A, SmartLLMLoader handles the heavy lifting so you can focus on creating exceptional AI applications.
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