MinerU vs oumi

Side-by-side comparison of two AI agent tools

Short answer

  • MinerU is growing faster: +3,746 GitHub stars in the last 30 days vs +75 for oumi.
  • Pick MinerU for: transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows. Pick oumi for: easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM.

From GitHub data refreshed daily.

MinerUfree

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

oumiopen-source

Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!

Metrics

MinerUoumi
Stars81.0k9.4k
Star velocity /mo3.7k75.23809523809524
Commits (90d)905109
Releases (6m)102
Overall score0.89090267841715070.6033496113402458

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
  • +Comprehensive end-to-end pipeline covering fine-tuning, evaluation, and deployment of open-source LLMs/VLMs with minimal setup
  • +Strong community support and active development with regular releases, extensive documentation, and integration with popular ML frameworks
  • +Advanced features including automated hyperparameter tuning, data synthesis, and RLVF support for sophisticated model training workflows

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
  • -Limited to open-source models only, excluding proprietary models like GPT-4 or Claude
  • -Requires significant computational resources and GPU access for effective model fine-tuning
  • -Learning curve may be steep for users new to LLM fine-tuning concepts and workflows

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
  • •Fine-tuning specialized domain models for text-to-SQL generation or other domain-specific tasks
  • •Developing custom AI agents with reinforcement learning capabilities using OpenEnv integration
  • •Creating production-ready custom language models with automated evaluation and deployment pipelines

FAQ

Which is more popular, MinerU or oumi?
MinerU has more GitHub stars (80,986 vs 9,393).
Which is more actively developed, MinerU or oumi?
MinerU had more commits in the last 90 days (905 vs 109).
Should I use MinerU or oumi?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.