kreuzberg vs mcp-image
kreuzberg: Kreuzberg is a high-performance, polyglot library designed to extract text and metadata from over 57 file formats, including comprehensive OCR capabilities. Built with a Rust core, it offers native speed processing, memory efficiency, and the ability to generate embeddings without requiring a GPU, making it highly versatile for various data extraction and processing tasks.; mcp-image: mcp-image is a tool for generating and editing images, integrating with MCP clients like Codex, Cursor, and Claude Code. It intelligently rewrites short image requests into more specific prompts, enhancing details like composition and lighting before sending them to various AI image models such as Gemini, OpenAI, and BytePlus Seedream.
TL;DR
- You are building an ingestion pipeline and need text and metadata from 57+ formats without a GPU.
- Your stack is Rust, Python, TypeScript, Ruby, Go, Java, C#, PHP or Elixir, or you need a WebAssembly build.
- You process multi-gigabyte files and need streaming parsers, or want custom OCR backends through plugins.
- You just want an assistant to read a file in chat: a simple MCP converter is quicker to set up.
- You need the Ruby binding on Windows: the README's table shows no Windows build for it.
- You need the same OCR everywhere: EasyOCR and PaddleOCR are Python-only and Guten is Node.js-only.
Generating product photos for e-commerce or marketing.
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