A high-performance OCR skill for extracting text from image-embedded PowerPoint presentations using the MinerU engine.
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npx clawhub@latest install pptx-ocr
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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This skill enables AI agents to process and understand PowerPoint presentations that consist primarily of scanned images, screenshots, or unselectable text. By leveraging the MinerU open API from OpenDataLab, the skill transforms static slide content into structured, searchable text. It is an essential addition to any developer's Openclaw Skills toolkit when dealing with legacy documents or non-textual presentation formats.
The tool is designed to bridge the gap between visual slide content and text-based AI analysis. Whether you are dealing with a PDF converted into a PPTX or a presentation full of screenshots, this skill ensures your AI agent can read every word.
To use this within the Openclaw Skills framework, you need to install the MinerU CLI and set up your API token:
npm install -g mineru-open-api
# or via Go (macOS/Linux):
go install github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api@latest
Configure your environment variable:
export MINERU_TOKEN="your-token-from-mineru-net"
The skill manages PowerPoint data through the following schema:
| Feature | Specification |
|---|---|
| Input Format | .pptx (local file or URL) |
| Output Format | Plain text or Markdown (via directory output) |
| Authentication | Token-based via MINERU_TOKEN |
| Language Support | Configurable via --language (e.g., en, ch) |
| Page Selection | Range-based extraction via --pages flag |
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