17 boosters for "ocr" — open source, verified from GitHub, ready to install
A PDF processing skill that enables users to read, extract, merge, split, and manipulate PDF files through an AI coding assistant. Developers and business users benefit from automated PDF workflows without writing complex code.
This booster enables Claude Code to process, convert, and extract data from documents (PDF, DOCX, XLSX, PPTX, HTML, images) using the Nutrient DWS API, including OCR, editing, signing, and form-filling capabilities. Developers building document automation workflows benefit from seamless integration with multiple file formats.
Heuristic scoring (no AI key configured).
"name": "mcp-markdownify-server", "description": "MCP Markdownify Server - Model Context Protocol Server for Converting Almost Anything to Markdown", "author": "@zcaceres (@zachcaceres | zach.dev)",
基于 Benjamin Bloom「2 Sigma Problem」研究（1984）的一对一 AI 导师系统。每个课题是一个独立文件夹，通过自适应生成的课程文档 + 用户反馈循环模拟一对一苏格拉底式导师，把学习效果推向 +2σ。学习的主要载体是文档，对话只是辅助确认状态。 所有回复、解释、提问、文档一律使用中文。 触发本 skill 后，以下守则在整个学习交互全程生效——违反字面就是违反精神：
ZAI CLI is a command-line tool that brings AI-powered capabilities—including vision analysis, web search, page reading, and GitHub exploration—directly to developers and AI coding assistants. It's useful for developers who need programmatic access to vision, search, and code discovery features.
Ask an opening question to gauge where the user stands: Use these question types, escalating from simple to complex: When the user arrives at the answer, ask them to summarize:
This MCP server integrates Nutrient's DWS Processor API with Claude, enabling AI agents to perform advanced document processing tasks including PDF handling, OCR, digital signatures, and redaction. Developers building document automation workflows and AI-powered applications benefit from seamless integration with Claude's context protocol.
Parse PDF, Office (Word/PPT/Excel), and image files into clean Markdown — with LaTeX formulas, tables, images, and OCR. One zero-dependency script, two backends, No , no API key. The free Agent API handles files ≤ 10 MB / ≤ 20 pages.
Turn a folder of raw files into a Markdown vault that an LLM can grep, and then answer questions over that vault responsibly. source file, carrying retrieval frontmatter (abstract / tags / synonyms) + a
"description": "Give Claude eyes and hands — screen capture and interaction for full-auto workflows", "name": "Kyle Zobell", "url": "https://gitlab.com/3spky5u"
"name": "swift-study-skills", "description": "Swift/iOS learning skills - Socratic tutoring, adaptive quizzes, and note-taking", "keywords": ["swift", "ios", "learning", "quiz", "study"],
Memento helps users search their computer history—screenshots, keystrokes, and OCR text—to recall forgotten information and context from past activity. Developers and knowledge workers benefit from quick retrieval of previously seen or typed information.
A practical integration guide for enhancing OCR text extraction with visual and language LLM capabilities using local Ollama models in Caption Extractor. Developers working with document processing, image analysis, and text correction workflows benefit from this reusable agent framework.
This MCP server enables extraction of text from documents, PDF manipulation, and OCR on images, making it useful for developers building document processing workflows in Claude Desktop, Claude Code, and Cursor.
