atpuxiner/docsloader
This is a documents loader. (文档解析加载器,rag文档解析,rag知识库构建)
This tool helps developers transform a wide variety of document types, including PDFs, Word documents, Excel sheets, and images, into a standardized format for further processing. It takes file paths or URLs to these common documents as input and outputs structured content ready for use in applications like knowledge bases or retrieval-augmented generation (RAG) systems. Developers building AI applications or data processing pipelines would find this useful.
129 stars. Used by 1 other package. Available on PyPI.
Use this if you need to reliably extract content from diverse document types (like .docx, .pdf, .xlsx, .md) and prepare it for integration into a larger system.
Not ideal if your primary goal is simply to view or edit these documents, as it focuses on content extraction for programmatic use.
Stars
129
Forks
—
Language
Python
License
MIT
Category
Last pushed
Dec 16, 2025
Commits (30d)
0
Dependencies
5
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/atpuxiner/docsloader"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
thiswillbeyourgithub/wdoc
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype,...
Arterning/DeepParseX
DeepParseX 是一个强大的多模态文档解析与知识管理平台,支持 PDF、Word、Excel、PPT、图片、视频、音频 等多种文件格式的智能解析,自动提取关键信息,并构建...
NoEdgeAI/pdfdeal
A python wrapper for the Doc2X API and comes with native texts processing (to improve PDF recall...
laxmimerit/RAGWire
Production-grade RAG toolkit — ingest PDFs, DOCX, XLSX into Qdrant with LLM metadata extraction,...
David-Lolly/ViewRAG
图文并茂的 PDF RAG 系统:支持版式感知分块、图表深度理解与精准视觉溯源。 Multimodal PDF RAG: Features layout-aware chunking,...