天枢 - 企业级 AI 一站式数据预处理平台 | PDF/Office转Markdown | 支持MCP协议AI助手集成 | Vue3+FastAPI全栈方案 | 文档解析 | 多模态信息提取
-
Updated
Apr 13, 2026 - Python
天枢 - 企业级 AI 一站式数据预处理平台 | PDF/Office转Markdown | 支持MCP协议AI助手集成 | Vue3+FastAPI全栈方案 | 文档解析 | 多模态信息提取
High-fidelity tool to convert PDF files and images into fully editable PowerPoint presentations (.pptx). Unlike basic converters, it uses AI-powered structure extraction (MinerU) to accurately reconstruct text, layouts, and images, ensuring the output is not just a screenshot but a professional, modifiable document.
A desktop-first literature manager for PDF reading, translation, paper overviews, and AI agent workflows.
PDF Parsing Tool: GOT's vLLM acceleration implementation, MinerU for layout recognition, and GOT for table formula parsing.
Multi-tenant RAG API powered by LightRAG/RAG-Anything. Auto-selects best parser (DeepSeek-OCR/MinerU/Docling) via complexity scoring
Ray-powered accelerator for MinerU, turning PDF → Markdown into a scalable, cluster-ready data infrastructure. 基于 Ray 的 MinerU 加速层,将 PDF → Markdown 构建为可扩展、面向集群的数据基础设施。
AI-Native document parser: PDF, Office & images → clean Markdown with LaTeX, tables & OCR. Zero-dependency CLI & skill for Claude Code, Cursor & AI agents.
Open-source PDF-to-Markdown post-processor with footnotes, LaTeX normalization, figure links, and YAML metadata. Supports Marker, MinerU, PyMuPDF, and Docling. Includes a self-hosted web UI.
MinerU (PDF to Markdown converter) — portable, no-installation-required, one-click launch bundle.
Convert any file to LLM-ready Markdown - MCP Server + Claude Code Skill
Agent 的智能学术论文分析技能
Claude Code skill for MinerU document parsing API - convert PDF/DOC/PPT/images to Markdown/JSON
基于 MinerU 和 md-translator 的英文论文阅读工具,可将英文 PDF 解析并翻译为中英双语 Markdown
基于现代 AI 技术构建的全流程智能招投标平台,采用微服务架构和 Agent 驱动的设计理念。系统通过 LLM(大语言模型)、RAG(检索增强生成)和 Skill Engine(技能引擎)三大核心引擎,实现从招标文件解读、投标书自动生成、合规性检查到文档输出的完整工作流自动化
MCP server to convert PDF/Word/PPT/Image/HTML to Markdown via MinerU API.
High-fidelity PDF/DOCX/PPTX to Markdown conversion with multi-stage QC, image extraction, and Claude Code integration.
Add a description, image, and links to the mineru topic page so that developers can more easily learn about it.
To associate your repository with the mineru topic, visit your repo's landing page and select "manage topics."