Use PaddleOCR via MCP to extract text from multilingual images.
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 text in the local image /Users/me/Desktop/screenshot.png and return it with the original line breaks.
Returns the readable text from the screenshot while preserving the original line breaks as much as possible.
Recognize the text in this image URL: https://example.com/menu.jpg. The image may contain Chinese, English, and Japanese. Extract all text in order.
Outputs the OCR result containing multilingual text from the image.
Use the PaddleOCR MCP Server to recognize text in the following base64 image and return only the extracted text: <base64 data>
Returns the extracted text from the base64 image without extra commentary.
Developers or office workers can send local screenshots, scans, or photos to this MCP tool to quickly extract text for copying, organizing, or further processing.
When an image is hosted online, users can provide its URL directly and have the tool recognize Chinese, English, Japanese, or Korean text without downloading it first.
Developers can call it inside MCP-compatible workflows to process images from local paths, URLs, or base64 inputs and automate OCR text extraction.
This is an MCP server that wraps PaddleOCR for image text recognition. It supports OCR for Chinese, English, Japanese, and Korean.
Based on the provided description, it supports three input sources: local paths, image URLs, and base64 data.
The provided materials do not include installation or configuration steps. For dependencies, runtime, and integration details, see the source repository.
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