If you mostly use chatbots and keep wondering which AI tools actually matter, don't read MinerU as "another OCR project." MinerU is selling data agents can actually ingest, not text recognition. Miss that, and you spend time looking at the wrong thing. [C002]
For normal chatbot users, the simple read is: MinerU works one step before the answer box. It tries to turn messy PDFs and Office files into cleaner input, so the model has less guessing to do.
On opendatalab / MinerU, the GitHub signal is not just the ~70.3k stars. The louder tell is what the repo leads with: Markdown/JSON output. That means reusable text plus structure an AI workflow can pass around, not just proof it can read letters. [C001]
The homepage pushes the same angle: agent/RAG document parsing and machine-readable Markdown/JSON/LaTeX. Read that as positioning. The bet looks upstream: cleaner inputs for AI workflows before the chatbot starts answering.
Don't judge a tool by the feature list. Judge it by whether it changes your next decision. This is not "OCR is dead." It is a narrower point: in agent/RAG workflows, structured output matters more than one more page-reading demo.
Boundary: this read only uses MinerU's GitHub page and homepage. No local benchmark, no side-by-side test. If someone in your circle still grades these tools by screenshots, share this with them.