There are 8 repositories under pdf-parser topic.
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.
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.
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
Parse PDFs into markdown using Vision LLMs
Python PDF parser for scientific publications: content and figures
Analyze PDFs with colors (and YARA)
Production-ready MCP server for PDF processing with 5-10x faster parallel processing, Y-coordinate content ordering, and 94%+ test coverage
A package for parsing PDFs and analyzing their content using LLMs.
Parser for Consolidated Account Statements (CAS) generated from CAMS/Karvy/Kfintech
A python client for the Sypht API
A Java client for the Sypht API
Sample code for the Datalogics C++, Java, and .NET interfaces of the Adobe PDF Library
Multimodal document parser for high quality data understanding and extraction
C# and VB.NET samples for Docotic.Pdf library
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.
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.
文档解析(Document Parser),支持 PDF、TXT、DOC、DOCX、Markdown 等文件格式,高效提取与解析内容,生成标准文档树结构。内置 PDF Parser、Text Parser、Word Parser,助力 RAG、知识库、全文检索等智能应用。
A Python tool to parse PDF statements from Poste Italiane (Postepay, BancoPosta) and extract data as structured JSON.
Fast and memory-efficient Python PDF Parser based on xpdf sources
A high-performance, open-source PDF data extraction tool. 一站式开源高性能数据提取工具,将复杂 PDF 文档转换为 Markdown 和 JSON 格式,使用onnx模型。
Swift PDFParser for PDF parsing and text mining. Includes a TrueType font parser
A Golang client for the Sypht API
Batch-convert pdf to text, extract data from pdf in python
Parse LinkedIn PDF Resume and extract out name, email, education and work experiences.
Convert PDF content and layout information with pdf.js
Scanipy stands for "scan it with Python"—it's your smart Python library for scanning and parsing complex PDF files like books, reports, articles, and academic papers. Utilizing cutting-edge Deep Learning algorithms, Scanipy transforms your PDFs into a treasure trove of extractable information: tables, images, equations, and text.