semble
★ 4.5k
vs
ocr-mcp
★ 14
semble vs ocr-mcp
semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.; ocr-mcp: OCR-MCP is a complete AI OCR webapp and MCP server. It provides a web interface for drag-and-drop OCR, scanning, and batch processing, and a FastMCP server for agentic IDEs like Claude, Cursor, Windsurf. It supports 13 OCR engines, WIA scanner, preprocessing, and workflow pipelines.
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TL;DR
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Choose ocr-mcp if…Integrate OCR capabilities into AI agents (Claude, Cursor)
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Side-by-Side Comparison
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Features
semble01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
ocr-mcp0113 OCR backends (PaddleOCR, Mistral OCR, etc.)
02Auto backend selection
03Preprocessing (deskew, enhance, crop)
04Layout and table extraction
05Batch and pipeline processing
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Use Cases
semble↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
ocr-mcp↳Integrate OCR capabilities into AI agents (Claude, Cursor)
↳Run OCR on scanned documents with WIA scanner
↳Batch process and convert documents to text/PDF/JSON
05
Best For
sembleCode AssistantRAG / Knowledge Base
ocr-mcpTrendingWorkflow AutomationRAG / Knowledge Base
FAQ
FAQ
What is the difference between semble and ocr-mcp?
Both semble and ocr-mcp are in the RAG / Knowledge Base category. semble has 4.5k stars, while ocr-mcp has 14 stars.
Which is better, semble or ocr-mcp?
The best choice depends on your use case. Choose semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities, and ocr-mcp if Integrate OCR capabilities into AI agents (Claude, Cursor).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is ocr-mcp free or open source?
Yes, ocr-mcp is open source on GitHub (MIT).
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