Overview
what is OpenAI OCR MCP Server?
OpenAI OCR MCP Server is a Model Context Protocol (MCP) server that provides Optical Character Recognition (OCR) functionality using OpenAI's vision capabilities, allowing users to extract text from images seamlessly.
how to use OpenAI OCR MCP Server?
To use the server, clone the repository, install dependencies, build the TypeScript code, and set up your OpenAI API key. Then, configure the MCP server in Cursor IDE to process images and extract text.
key features of OpenAI OCR MCP Server?
- Image text extraction using OpenAI's GPT-4.1-mini model
- Automatic text file creation alongside source images
- Content-based file naming for organized management
- Support for multiple image formats (JPG, PNG, GIF, WebP)
- Robust error handling and detailed logging
use cases of OpenAI OCR MCP Server?
- Extracting text from scanned documents for digital archiving.
- Converting images of printed materials into editable text.
- Assisting in data entry by automating text extraction from images.
FAQ from OpenAI OCR MCP Server?
- What image formats are supported?
The server supports JPG, PNG, GIF, and WebP formats.
- What is the maximum file size for images?
The maximum file size is 5MB; larger files will be rejected.
- How does the server handle errors?
The server provides detailed error messages for common issues such as invalid formats and API key problems.