Ppt Ocr

Security

OCR for PowerPoint (.ppt, .pptx) presentations with scanned or image-embedded slides. Uses MinerU to extract text from image-based presentation content. Features: OCR for image-based slides. VLM mode for complex visual layouts. Handles old .ppt and modern .pptx formats. Converts image content to readable Markdown. Use when you need to: OCR a PowerPoint file, extract text from image slides, read scanned content in presentations. Use when asked: 'how do I OCR PowerPoint slides', 'extract text from image-based ppt', 'my slides are images not text', 'can my agent OCR ppt files', 'is there a skill for PPT OCR'. Built on MinerU by OpenDataLab (Shanghai AI Lab) with advanced OCR capabilities. Ideal for converting legacy or image-heavy presentations into editable, searchable text.

Install

openclaw skills install ppt-ocr

Ppt Ocr

Convert and extract content from .ppt 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

# OCR extraction (requires token)
mineru-open-api extract slides.ppt --ocr -o ./out/

# From URL
mineru-open-api extract https://example.com/slides.ppt --ocr -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: .ppt
  • Language hint with --language (default: ch, use en for English)
  • Page range with --pages (where applicable)

Notes

  • .ppt requires extract with token. Add --ocr for image-heavy slides.
  • Output goes to stdout by default; use -o <dir> 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