AI Detect

C
C tier on AI Content Detection SoftwareScore 6.9 · #5 of 45
Android app
Not listed
Free plan
Yes
Runs on
Linux, Mac, self-hosted, Windows
github.com
The AI Detect homepage

Summary

AI Detect is a free, open-source tool that scores writing sentence by sentence for signs associated with AI-generated text. Text inference runs on the user's hardware, and once a model is downloaded and cached, the tool can run offline. Its default DeBERTa-v3-large model download is about 1.7 GB; a 126 MB RoBERTa ONNX option is available for faster triage. The tool flags patterns such as missing contractions, formal verbs, and formal transitions, and offers plain-English rewrite suggestions. It is distributed as a command-line tool, Python package, and MCP server, which can connect with Claude Desktop, Claude Code, or another MCP client. CPU is the default, while CUDA is used automatically when available; a GPU is optional. Sentences shorter than five words are skipped. The maker labels the software beta and advises treating results across a batch as a signal, not an individual sentence verdict. The project is MIT-licensed, and the repository notes that this local tool has no support contract or polished dashboard.

Who it is for

AI Detect is suited to people checking commissioned or unpublished writing locally, especially when reviewing batches of text. It may appeal to command-line and Python users, or people using MCP clients.

What is good

  • Text inference runs locally and can work offline after caching.
  • Offers default and lightweight model options.
  • Available as CLI, Python package, and MCP server.
  • Batch scanning and basic report exports are supported.
  • No API key or usage limits on the free plan.

What to know first

  • Default model download is about 1.7 GB.
  • Sentences shorter than five words are skipped.
  • The maker describes the project as beta.
  • No support contract or polished dashboard.

Verdict

AI Detect offers local sentence-level scoring and several ways to integrate it into a workflow. Its maker cautions that scores should be read across a batch rather than treated as a final judgment on one sentence.

AI Detect plans and pricing

All plans
Free Free No API key · no usage limits · local use github.com · 7 Oct 2026

Compared on AI content detection software

Free plan
Yesgithub.com
File uploads
Yesgithub.com
Report exports
basicgithub.com
Batch scanning
Yesgithub.com

Facts

Purpose
AI Detect is an open-source tool that scores writing sentence by sentence for likely AI-generated text.github.com · 7 Oct 2026
Models
Its default model is a 304-million-parameter DeBERTa-v3-large model, with a 126 MB RoBERTa ONNX option for faster triage.github.com · 7 Oct 2026
Diagnostics
It flags writing patterns such as missing contractions, formal verbs, and formal transitions, and provides plain-English rewrite suggestions.github.com · 7 Oct 2026
Interfaces
It is distributed as a command-line tool, Python package, and MCP server.github.com · 7 Oct 2026
Integrations
The MCP server can be used with Claude Desktop, Claude Code, or another MCP client.github.com · 7 Oct 2026
Privacy
Text inference runs on the user's hardware; the repository says the only network call is the initial model download.github.com · 7 Oct 2026
Offline use
After downloading and caching the model, it runs offline.github.com · 7 Oct 2026
Hardware
A GPU is optional: the default is CPU, with CUDA used automatically when available.github.com · 7 Oct 2026
Storage
The default model download is about 1.7 GB, while the light model download is about 126 MB.github.com · 7 Oct 2026
Input limit
Sentences shorter than five words are skipped rather than scored.github.com · 7 Oct 2026
Caveat
The maker describes the software as beta and recommends treating its scores as a signal across a batch rather than a verdict on an individual sentence.github.com · 7 Oct 2026
License
The project is MIT-licensed.github.com · 7 Oct 2026
Audience
The maker positions it for people checking commissioned or unpublished copy locally, including users handling batches of writing.github.com · 7 Oct 2026
Support
The repository says users give up a support contract and polished dashboard when choosing this local tool.github.com · 7 Oct 2026

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Sources