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AI Detect review

Free#32 of 45 in AI Content Detection SoftwareAI Detection Software

A technical, self-hosted detector for local scoring, diagnostics, and automation.

5.6/10Editor score
AI Detect5.6 Visit AI Detect

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

AI Detect is an open-source AI-text detector for developers and technical teams that want to inspect writing on their own hardware. It scores text sentence by sentence using a DeBERTa-v3-large model, highlights patterns associated with AI-like writing, and offers plain-English rewrite suggestions. Users can provide text or local files, compare two texts, and receive machine-readable JSON output. CPU and CUDA inference support gives the tool a local path for different hardware setups.

The Free plan is the complete published plan: MIT-licensed open-source software with no API key or usage limits. Operation is local after the model download, and the category specifications include file uploads, batch scanning, and basic report exports. That pricing and deployment model fits developers who prefer control over the runtime and want to integrate detection into scripts or internal workflows rather than send content to a hosted service.

AI Detect’s strongest ecosystem fit is its Model Context Protocol server, with integrations for Claude Desktop and Claude Code. It is distributed as a command-line tool, Python package, and MCP server, so it can support developer-oriented pipelines and assistant workflows. The trade-off is that this is a technical, self-hosted product rather than a browser extension or web platform, and the project is described as beta. Choose AI Detect for local, programmable sentence analysis and open-source control; choose an alternative if your priority is a browser-first review experience or a dedicated HTTP API.

AI Detect pros and cons

  • Where it wins
    • Sentence-level scoring with AI-pattern diagnostics and rewrite suggestions
    • Local CPU or CUDA inference with offline operation after model download
    • JSON output, batch scanning, file input, and MCP integrations
  • Where it doesn't
    • Requires technical setup through a command-line tool, Python package, or MCP server
    • Not designed as a browser extension or web-based review platform
    • The project is described as beta

AI Detect fact sheet, pricing and score →

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