Design & media

Table Ocr

Try it

OCR and extract tables from scanned PDFs and images using MinerU. Recognizes table structures in image-based documents and converts them to structured Markdo...

What it does

Convert and extract content from .pdf / images (.png/.jpg/.jpeg/.webp) using MinerU ().

The skill document

Table Ocr

Convert and extract content from .pdf / images (.png/.jpg/.jpeg/.webp) using MinerU (mineru-open-api).

Install

npm install -g mineru-open-api
# or via Go (macOS/Linux):
go install github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api@latest

Quick Start

# Extract tables from PDF (requires token)
mineru-open-api extract report.pdf -o ./out/

# With explicit table flag and OCR for scanned docs
mineru-open-api extract scanned.pdf --ocr --table -o ./out/

Authentication

Token required for extract and crawl:

mineru-open-api auth            # Interactive token setup
export MINERU_TOKEN="your-token" # Or via environment variable

Create token at: https://mineru.net/apiManage/token

Capabilities

  • Supports local files and URLs
  • Requires token (mineru-open-api auth or MINERU_TOKEN env)
  • Supported input: .pdf / images (.png/.jpg/.jpeg/.webp)
  • Language hint with --language (default: ch, use en for English)
  • Page range with --pages (where applicable)

Notes

  • Table recognition requires extract with token. Use --ocr for scanned content and --table for table detection (both enabled by default in extract).
  • Output goes to stdout by default; use -o to save to file
  • Binary formats (docx) require -o flag (cannot stream to stdout)
  • All progress/status messages go to stderr
  • MinerU is an open-source project by OpenDataLab (Shanghai AI Lab): https://github.com/opendatalab/MinerU

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