MinerU (by OpenDataLab) is an open-source tool for extracting structured data from PDFs, including text, tables, formulas, and images. It's powerful but requires Python, CUDA GPU, and significant setup. Here's how it compares to BlazeDocs.
An honest look at two different approaches to PDF conversion.
Try BlazeDocs Free — No Setup Required| Feature | BlazeDocs | MinerU |
|---|---|---|
| Pricing | Free / $9.99 / $17.99 / $69.99 | Free (open-source, AGPL-3.0) |
| Setup Required | None — instant | Python, CUDA, conda, model weights |
| OCR Accuracy | 99.9% (Mistral AI) | ~93-96% (PaddleOCR) |
| Table Handling | ||
| Formula / LaTeX Support | ||
| GPU Required | No | Yes (CUDA required) |
| Batch Processing | ||
| Export Formats | GFM, Obsidian, Notion | Markdown, JSON |
| Document AI Chat | ||
| API Available | CLI + Python only | |
| Image Extraction | ||
| SOC2 Compliant | ||
| Support | Email + priority support | GitHub issues (Chinese/English) |
MinerU requires a CUDA-compatible GPU for its deep learning models. This means you need an NVIDIA GPU, proper CUDA drivers, and often conda for environment management. BlazeDocs runs in the cloud — works on any device.
BlazeDocs uses Mistral AI for 99.9% accuracy. MinerU uses PaddleOCR and custom layout models which are strong for academic papers but can struggle with diverse document types, handwriting, and unusual layouts.
MinerU extracts content from PDFs. BlazeDocs goes further with Document AI chat that lets you ask questions about your documents, plus native export to Obsidian and Notion.
MinerU (also known as MagicPDF) is an open-source tool by OpenDataLab/Shanghai AI Lab for extracting structured content from PDFs. It uses deep learning models for layout detection, OCR, and formula recognition. It's well-regarded in the academic community.
MinerU technically supports CPU mode, but it's extremely slow — a single page can take minutes. For practical use, a CUDA GPU is essentially required. BlazeDocs runs in the cloud with no hardware requirements on your side.
Both tools handle LaTeX formulas well. MinerU uses a dedicated formula recognition model. BlazeDocs uses Mistral AI which handles formulas as part of its unified understanding of the document, often producing cleaner LaTeX output.
MinerU can batch process files but you need to manage the infrastructure yourself — GPU servers, queue management, error handling. BlazeDocs handles all of this with its hosted API and built-in batch processing.
Try BlazeDocs free — no CUDA, no Python, no conda environments. Upload your PDF and get perfect Markdown instantly.