MinerU

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

24 articles 54.8k View on GitHub ↗
24 articles
How to Deploy MinerU for Production Integration: Complete Setup Guide

Deploy MinerU for production integration. Set up using Docker, FastAPI, OpenAI-compatible server, or Gradio to expose REST endpoints for document processing and retrieval.

how-to-guide
Feb 23, 2026
MinerU Backend Source Files: Complete Guide to VLM, Pipeline, and Hybrid Locations

Discover the location of MinerU backend source files within the mineru/backend/ directory. Explore VLM, Pipeline, and Hybrid sub-packages including utils.py.

how-to-guide
Feb 23, 2026
How to Set the Language for OCR in MinerU: CLI, Python API, and HTTP Methods

Easily set the OCR language in MinerU using CLI, Python API, or HTTP requests. Learn how to specify languages for accurate text recognition with Pytorch-Paddle-OCR.

how-to-guide
Feb 23, 2026
How to Specify the Parsing Method (Auto, TXT, OCR) in MinerU

Control MinerU parsing with auto txt or ocr methods via CLI API or FastAPI. Learn how to specify your desired parsing method for efficient document analysis.

how-to-guide
Feb 23, 2026
MinerU OmniDocBench Accuracy: Benchmark Results for Pipeline and VLM Backends

Discover MinerU OmniDocBench accuracy. See how MinerU's pipeline and VLM backends outperform GPT-4o and Gemini 2.5 Pro with just 1.2B parameters. Get benchmark results now.

performance
Feb 23, 2026
How MinerU Detects and Handles Hallucinations in PDF Parsing

MinerU prevents PDF parsing hallucinations by classifying documents. Learn how it avoids false text generation for corrupted or image-heavy files. Read more.

how-to-guide
Feb 23, 2026
How to Use MinerU in HTTP Client Mode with OpenAI-Compatible Servers

Learn to use MinerU in HTTP client mode with OpenAI-compatible servers. Offload VLM inference to remote servers for efficient processing.

how-to-guide
Feb 23, 2026
VRAM Requirements for MinerU's VLM Backend: Complete Hardware Guide

Discover MinerU VLM backend VRAM requirements. Learn the minimum 8 GB VRAM needed and the recommended 10 GB for full table acceleration. Get your hardware guide now.

hardware-guide
Feb 23, 2026
How to Utilize MinerU's VLM Backend for High-Accuracy Parsing

Master PDF parsing with MinerU's VLM backend. Configure environment variables, choose an inference engine, and use MagicModel for accurate formula and table extraction, delivering structured Content-List V2 output.

how-to-guide
Feb 23, 2026
How to Convert PDF to JSON Using MinerU: A Complete Technical Guide

Learn to convert PDF to JSON with MinerU. This technical guide details the six-stage pipeline for structured data extraction from PDFs using MagicModel inference. Explore the opendatalab MinerU repository.

how-to-guide
Feb 23, 2026
How to Convert PDF to Markdown Using MinerU: A Complete Technical Guide

Easily convert PDF to Markdown with MinerU. This technical guide details MinerU's multi-stage pipeline for accurate document conversion to clean Markdown.

how-to-guide
Feb 23, 2026
Complete Guide to Output Formats Supported by MinerU

Explore MinerU's seven output formats: Multimodal Markdown, NLP Markdown, JSON, raw output, images, and ZIP. Discover the best format for your data analysis.

api-reference
Feb 23, 2026

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