← 返回首页
document-parser · GitHub Topics · GitHub
Skip to content

Navigation Menu

Toggle navigation
Sign in
Appearance settings
Search or jump to...

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Include my email address so I can be contacted

Saved searches

Use saved searches to filter your results more quickly

Appearance settings
Resetting focus
#

document-parser

Here are 114 public repositories matching this topic...

Get your documents ready for gen AI

  • Updated Jul 8, 2026
  • Python

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

  • Updated Jul 6, 2026
  • HTML

小说下载|网文下载 | 网络小说

  • Updated Jul 7, 2026
  • Java

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

  • Updated Jul 2, 2026
  • Python

Improved file parsing for LLM’s

  • Updated May 17, 2026
  • Python

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.

  • Updated Oct 31, 2025
  • Python

모두 파싱해버리겠다 — HWP3·HWP·HWPX·HWPML·PDF·XLS·XLSX·DOCX → Markdown. 신구대조·양식 자동 채우기·MCP 통합 (CLI + MCP Server) | Parse Korean documents (HWP3-5, HWPX, HWPML, PDF, Office) to Markdown — CLI + MCP Server with form-filler & diff

  • Updated Jul 8, 2026
  • TypeScript

LAYRA—an enterprise-ready, out-of-the-box solution—unlocks next-generation intelligent systems powered by visual RAG and limitless visual multi-step agent workflow orchestration.

  • Updated Oct 14, 2025
  • TypeScript

Parse PDFs into markdown using Vision LLMs

  • Updated Oct 4, 2025
  • Python

A comprehensive list of document parsers, covering PDF-to-text conversion and layout extraction. Each tested for support of tables, equations, handwriting, two-column layouts, and multi-column layouts.

  • Updated Jul 14, 2025

PHP library to read and extract text & images from PDFs - Fast & Low memory - Built from scratch

  • Updated Jul 5, 2026
  • PHP

With DocSlight, precisely parse and extract data from any document, including PDFs, scans, images, and Office files. It is an open-source AI project from ComPDF (KDAN ecosystem).

  • Updated Jul 2, 2026
  • Vue

Complex data extraction and orchestration framework designed for processing unstructured documents. It integrates AI-powered document pipelines (GenAI, LLM, VLLM) into your applications, supporting various tasks such as document cleanup, optical character recognition (OCR), classification, splitting, named entity recognition, and form processing

  • Updated Jul 3, 2026
  • Python

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。

  • Updated Nov 27, 2025
  • Python

AI-Native document parser: PDF, Office & images → clean Markdown with LaTeX, tables & OCR. Zero-dependency CLI & skill for Claude Code, Cursor & AI agents.

  • Updated Jun 19, 2026
  • Python

A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.

  • Updated Mar 17, 2025
  • Python

Tutorial on how to deskew (straighten) text images

  • Updated Mar 15, 2022
  • Python

CHURRO is an OCR toolkit for historical document transcription, built to make handwritten and printed sources readable at high accuracy and lower cost.

  • Updated Apr 18, 2026
  • Python
Load more…

Improve this page

Add a description, image, and links to the document-parser topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the document-parser topic, visit your repo's landing page and select "manage topics."

Learn more

Footer

© 2026 GitHub, Inc.