gray wooden house near body of water
|

Introducing MinerU: Simplifying PDF Conversion for Scientific Literature

Join our weekly newsletters for the latest updates and exclusive content on industry-leading AI, InfoSec, Technology, Psychology, and Literature coverage. Learn More

Introduction

In the era of rapid technological advancement, managing large volumes of unstructured data is critical. MinerU offers an innovative solution, converting PDFs into machine-readable formats like Markdown and JSON to facilitate easy data extraction and organization.

Born during the pre-training process of InternLM, MinerU focuses on resolving symbol conversion challenges in scientific literature, aiming to support advancements in large-model technology. Despite being in its infancy, MinerU shows immense potential in reshaping how we interact with complex documents.

You can find the repository at https://github.com/opendatalab/MinerU

Check it out please.


Key Features of MinerU

MinerU combines robust features to streamline the process of document parsing:

  • Header and Footer Removal: Ensures content coherence by eliminating unnecessary elements.
  • Multi-Column Layout Support: Handles single, multi-column, and complex document layouts effectively.
  • Structure Preservation: Retains headings, paragraphs, and lists for logical readability.
  • Comprehensive Data Extraction: Extracts images, tables, formulas, and even image descriptions.

Capabilities and Functions

  1. Advanced OCR:
    MinerU detects and recognizes text in 84 languages, including scanned and garbled PDFs, using powerful OCR capabilities.
  2. Formula Recognition:
    Converts document formulas into LaTeX format, enabling precise mathematical and scientific representations.
  3. Table Conversion:
    Automatically recognizes and converts tables into HTML, maintaining structural integrity.
  4. Visualization Tools:
    Offers layout and span visualization to validate output quality.

Supported Platforms and Requirements

MinerU supports various operating systems, including Windows, macOS, and Ubuntu. The minimum requirements include:

  • Memory: 16GB (32GB recommended).
  • Python: Version 3.10.
  • NVIDIA GPU: 8GB VRAM for GPU-accelerated processing.
  • CUDA: Versions 12.1 (PyTorch) and 11.8 (Paddle).

Note: ARM-based systems are currently unsupported.


Quick Start Guide

Install magic-pdf

conda create -n MinerU python=3.10
conda activate MinerU
pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com

Discover more at InnoVirtuoso.com

I would love some feedback on my writing so if you have any, please don’t hesitate to leave a comment around here or in any platforms that is convenient for you.

For more on tech and other topics, explore InnoVirtuoso.com anytime. Subscribe to my newsletter and join our growing community—we’ll create something magical together. I promise, it’ll never be boring! 🙂

Stay updated with the latest news—subscribe to our newsletter today!

Thank you all—wishing you an amazing day ahead!

Similar Posts

Leave a Reply

Your email address will not be published. Required fields are marked *