MinerU vs Xberg
Side-by-side comparison of two AI agent tools
MinerUfree
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
X
Xbergopen-source
Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus c
Metrics
| MinerU | Xberg | |
|---|---|---|
| Stars | 80.9k | 9.4k |
| Star velocity /mo | 3.8k | 779.9166666666666 |
| Commits (90d) | 925 | 3.1k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8900828197363442 | 0.8100951718666431 |
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, MinerU or Xberg?
- MinerU has more GitHub stars (80,897 vs 9,359).
- Which is more actively developed, MinerU or Xberg?
- Xberg had more commits in the last 90 days (3,122 vs 925).
- Should I use MinerU or Xberg?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.