MinerU vs STORM

Side-by-side comparison of two AI agent tools

Short answer

  • STORM has had no commit in 12 months; MinerU is actively maintained (905 commits in the last 90 days).
  • MinerU is growing faster: +3,746 GitHub stars in the last 30 days vs +558 for STORM.
  • Pick MinerU for: transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows. Pick STORM for: an LLM-powered knowledge curation system that researches a topic and generates a full-length report.

From GitHub data refreshed daily.

MinerUfree

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

STORMopen-source

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Metrics

MinerUSTORM
Stars81.0k31.6k
Star velocity /mo3.7k558.0952380952382
Commits (90d)9050
Releases (6m)100
Overall score0.89090267841715070.3758979607278819

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
  • +Automated multi-perspective research that synthesizes information from diverse Internet sources into structured, Wikipedia-style articles with proper citations
  • +Human-AI collaborative features through Co-STORM enable interactive knowledge curation with user guidance and preferences
  • +Flexible architecture supporting multiple language models, search engines, and document sources through modular components and extensive customization options

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
  • -Cannot produce publication-ready articles and requires significant manual editing and fact-checking before professional use
  • -Quality and accuracy depend heavily on the underlying language model and search results, potentially leading to inconsistencies or outdated information
  • -Complex setup and configuration may be challenging for non-technical users despite simplified installation options

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
  • •Pre-writing research assistance for Wikipedia editors and content creators who need comprehensive topic overviews before manual article development
  • •Academic research synthesis for students and researchers who need to quickly gather and organize information from multiple sources on specific topics
  • •Knowledge base generation for organizations that need to create structured reports from internal documents and external sources

FAQ

Which is more popular, MinerU or STORM?
MinerU has more GitHub stars (80,986 vs 31,555).
Which is more actively developed, MinerU or STORM?
MinerU had more commits in the last 90 days (905 vs 0).
Should I use MinerU or STORM?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.