kotaemon vs MinerU
Side-by-side comparison of two AI agent tools
Short answer
- MinerU is growing faster: +3,732 GitHub stars in the last 30 days vs +90 for kotaemon.
- Pick kotaemon for: an open-source RAG-based tool for chatting with your documents. Pick MinerU for: transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
From GitHub data refreshed daily.
k
kotaemonopen-source
An open-source RAG-based tool for chatting with your documents.
MinerUfree
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
Metrics
| kotaemon | MinerU | |
|---|---|---|
| Stars | 25.8k | 81.0k |
| Star velocity /mo | 90 | 3.7k |
| Commits (90d) | 0 | 905 |
| Releases (6m) | 1 | 10 |
| Overall score | 0.3178179414616394 | 0.8796799796634358 |
Pros
- +专门针对 LLM 优化的输出格式,确保转换后的 Markdown/JSON 能够被 AI 模型高质量理解和处理
- +支持复杂 PDF 文档的结构化解析,保持表格、图像和文本布局的完整性
- +提供 Python SDK 和 Web 应用双重接口,既适合程序化集成也支持交互式使用
Cons
- -主要专注于 PDF 处理,对其他文档格式的支持可能有限
- -复杂文档的处理质量可能依赖于原始文档的质量和结构清晰度
- -大规模批量处理时可能需要考虑计算资源和处理时间的平衡
Use Cases
- •构建 RAG(检索增强生成)系统时,将企业内部 PDF 文档转换为向量数据库可索引的格式
- •为 AI 代理开发智能文档分析功能,自动提取和结构化合同、报告中的关键信息
- •建立知识管理系统,将历史文档资料转换为可搜索和可查询的结构化数据
FAQ
- Which is more popular, kotaemon or MinerU?
- MinerU has more GitHub stars (81,025 vs 25,800).
- Which is more actively developed, kotaemon or MinerU?
- MinerU had more commits in the last 90 days (905 vs 0).
- Should I use kotaemon or MinerU?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.