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Extract text and parse document layouts through PaddleOCR via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PaddleOCR MCP Server" yet — see the docs or source repo.
Use the PaddleOCR MCP Server to recognize all text in this image and return plain text in reading order.
Returns the text content from the image in a natural reading order.
Use the PaddleOCR MCP Server to parse this document's layout and convert it to Markdown, preserving headings, paragraphs, and table structure.
Returns structured Markdown with document hierarchy and major layout elements.
Use the PaddleOCR MCP Server with the PP-OCRv6 model to recognize this scanned page and return the extracted text.
Returns text recognized with the specified PaddleOCR model.
Developers or office workers can call this tool through MCP to extract text from images or scanned documents for editing, organization, or archiving.
When working with documents that contain layout structure, users can parse the layout and export Markdown for knowledge bases or content reuse.
When different tasks require different PaddleOCR models, this MCP tool can use PP-OCRv5, PP-OCRv6, or PP-StructureV3 for recognition and parsing.
It provides OCR capabilities through MCP for text extraction and document layout parsing, and it can convert layout parsing results into Markdown.
The provided information says it supports multiple PaddleOCR models, including PP-OCRv5, PP-OCRv6, and PP-StructureV3.
The current materials do not provide installation steps, runtime requirements, or key requirements. See the source repository for details.
Use PaddleOCR via MCP to extract text from multilingual images.
Extract text from images into Markdown with fast OCR and GPU auto-detection.
Extract text from images quickly for document workflows and automation.
Read, create, and manage documents with OCR, styling, and categorization.
Process PowerPoint and Word files to extract, merge, and generate presentations.
Extract text from images and PDFs for search, organization, and automation.