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docling-project/docling
Get your documents ready for gen AI
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- Unstructured-IO/unstructured
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.
Why this match
topics document-parser, document-parsing, docx; language differs: Python → HTML; license differs: MIT → Apache-2.0
- opendataloader-project/opendataloader-pdf
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
Why this match
topics ai, document-parsing, html; language differs: Python → Java; license differs: MIT → Apache-2.0
- opendatalab/MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Why this match
topics docx, pdf, pdf-converter
- iOfficeAI/OfficeCLI
OfficeCLI is the first and best Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files. Free, open-source, single binary, no Office installation required.
Why this match
topics ai, docx, pptx; language differs: Python → C#; license differs: MIT → Apache-2.0
- tabulapdf/tabula
Tabula is a tool for liberating data tables trapped inside PDF files
Why this match
topics pdf, tables; language differs: Python → CSS
- kingrishabdugar/fizzdoc
74 free tools that run 100% in your browser: photo editor, AI background remover (photo, GIF, video), collage maker, speech to text, PDF edit/merge/compress/OCR, Word, Excel & PowerPoint. No uploads, works offline, 16 languages.
Why this match
topics docx, pdf, pptx; language differs: Python → TypeScript; license differs: MIT → Apache-2.0
- wmjordan/PDFPatcher
PDF补丁丁——PDF工具箱,可以编辑书签、剪裁旋转页面、解除限制、提取或合并文档,探查文档结构,提取图片、转成图片等等
Why this match
topics pdf, pdf-converter; language differs: Python → C#
- The-Vibe-Company/megaparse
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
Why this match
topics docx, pdf; license differs: MIT → Apache-2.0