Skip to content
← Models
Open weightsOpenDataLab / Shanghai AI Lab/10 trustVerified

MinerU

Open-source PDF and document extraction pipeline: layout, OCR, formulas, tables to Markdown.

Visit official page →

About

MinerU is an open-source document content extraction pipeline from OpenDataLab and the Shanghai AI Lab that converts PDFs and scanned documents into clean Markdown or JSON. It combines layout detection, OCR, formula recognition and table parsing in a single pipeline, and its approach was described in a September 2024 paper (arXiv 2409.18839). It has become a standard preprocessing step for RAG pipelines that need to ingest messy real-world documents.

One honest caveat on licensing: the project moved from AGPL-3.0 to a custom MinerU Open Source License that is based on Apache 2.0 but adds conditions, so check the current license text before commercial use. The team has since released MinerU2.5-Pro, a 1.2B vision-language variant that vendor-reported figures place at 95.69 on OmniDocBench (April 2026), pushing the line from pipeline tooling toward end-to-end document models.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

September 30, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

pdf-extractionocrdocument-airagdata-pipelines

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 93; Trending score 78/100 from researcher assessment.

Sources