name: ppt-ocr description: "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." homepage: https://mineru.net metadata: {"openclaw": {"emoji": "📄", "requires": {"bins": ["mineru-open-api"], "env": ["MINERU_TOKEN"]}, "primaryEnv": "MINERU_TOKEN", "install": [{"id": "npm", "kind": "node", "package": "mineru-open-api", "bins": ["mineru-open-api"], "label": "Install via npm"}, {"id": "go", "kind": "go", "package": "github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api", "bins": ["mineru-open-api"], "label": "Install via go install", "os": ["darwin", "linux"]}]}}
Convert and extract content from .ppt using MinerU (mineru-open-api).
发现更多技能插件,请访问7w4.net。
npm install -g mineru-open-api
# or via Go (macOS/Linux):
go install github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api@latest
# 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/
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
mineru-open-api auth or MINERU_TOKEN env)--language (default: ch, use en for English)--pages (where applicable)extract with token. Add --ocr for image-heavy slides.-o <dir> to save to file-o flag (cannot stream to stdout)这个 Skill 质量中等偏上,文档基本够用,核心功能(PPT OCR 提取)说明清晰,安装步骤和示例都很实用。优点是提供了详细的安装方式和认证流程,语言支持也有说明。不足之处是文档内容相对简单,缺少常见问题解答,遇到问题时不太好找答案。另外元数据信息较少,可能影响在工具中的展示效果。总体来说能满足基本使用需求,但还有改进余地。