MinerU - PDF to Markdown

MinerU - PDF to Markdown

4.0

MinerU converts PDFs to Markdown and other formats with high accuracy. It's a powerful tool for extracting text and data from PDF files.

Last Updated Oct 21, 2026
MinerU - PDF to Markdown screenshot

About

MinerU is a leading intelligent data extraction service platform. In an era of information overload, we are dedicated to helping businesses and individual users quickly and accurately extract valuable insights from vast amounts of unstructured data, transforming complex information into clear intelligence that empowers decision-making and drives business growth.

Key Features

Intelligent Document Parsing: Automatically identifies and extracts text, tables, and key fields from various document types, including PDF, Word, and Excel.
Web Data Scraping: Efficiently captures structured data from target web pages, with support for complex pagination and dynamic loading.
Data Cleaning and Formatting: Automatically cleans, deduplicates, and standardizes raw extracted data to ensure high data quality.
API Integration Services: Provides stable API endpoints that allow users to seamlessly integrate data extraction capabilities into their own business systems.

Pricing & Fees

  • Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
  • Free Agent API: A no-login API endpoint (POST /api/v1/agent/parse/url) parses PDF URLs without a token, limited to files ≤ 10MB and ≤ 20 pages.
  • Authenticated API Limits: With a token created in the API management page, the /api/v4/extract/task endpoint supports files up to 200MB / 600 pages and outputs Markdown, JSON, docx, HTML, or LaTeX.
  • Open Source & Clients: MinerU is open source (58.5k+ GitHub stars) with desktop clients for Windows, macOS, and Linux, plus offline deployment options.
  • Rate Limits: API quotas and rate limit policies are documented separately on the official site's limit page.

Who It's For

MinerU is the ideal choice for market researchers conducting competitive analysis, trend monitoring, and sentiment tracking; financial analysts pulling key metrics from corporate filings and industry reports; e-commerce operators batch-scraping product listings and user reviews to optimize pricing and product selection; academic researchers collecting and organizing study data from large volumes of literature; and software development teams in need of a reliable data source to enrich their applications.