AI Detect

AI Detect is a free, open-source detector that scores writing sentence by sentence on your own hardware. It suits writers and editors reviewing batches of unpublished or commissioned copy, especially when offline use matters. Its flexible local tools come with a clear trade-off: beta scores are prompts for review, not judgments about individual sentences.

Overview

Text stays on your hardware during inference, and the repository says the only network call is the initial model download. Once the model is cached, AI Detect runs offline. That is a practical advantage for private drafts, while users who need a hosted service will need another tool.

The MIT license and command-line, Python package, and MCP server distributions give technical users several ways to fit AI Detect into a local workflow. The project is in beta, and its maker says users give up a support contract and polished dashboard. That makes it a poor fit for teams that need formal support or a ready-made visual workspace.

Key features

Sentence scoring and editing cues

AI Detect scores text sentence by sentence and flags patterns such as missing contractions, formal verbs, and formal transitions. It also offers plain-English rewrite suggestions, which can help editors focus attention on passages that may need a closer read. These cues do not establish authorship: the maker recommends looking at patterns across a batch rather than treating a single sentence score as a verdict.

Two model sizes

The default DeBERTa-v3-large model has 304 million parameters and takes about 1.7 GB to download. For faster triage, a 126 MB RoBERTa ONNX option uses much less storage. The smaller download lowers the barrier for machines with limited space, though the published facts do not establish how its results compare with the default model.

Local compute and batch work

A GPU is optional: CPU is the default, and CUDA is used automatically when available. Batch scanning and file uploads suit users checking multiple documents, and basic report exports provide a way to carry results out of a scan. Sentences shorter than five words are skipped, so very short text will not receive scores.

MCP connections

The MCP server can connect with Claude Desktop, Claude Code, or another MCP client. That gives users of those tools a way to incorporate local scoring into their workflow; people who do not use an MCP client can choose the command-line or Python interfaces instead.

Pricing

The Free plan costs nothing. It requires no API key, has no usage limits, and runs locally. There is no free trial because the product is free. The plan also supports file uploads, batch scanning, and basic report exports, making it a useful option for sustained review without per-scan caps. In return, users take on the local setup and work without a support contract or polished dashboard.

Platforms

AI Detect supports Linux, macOS, and Windows, as well as self-hosted use. Combined with CPU support and offline operation after the model download, this suits users who can run software on their own machines and do not need a browser-based service.

Who it's for

AI Detect is best for technically comfortable writers, editors, and organizations checking commissioned or unpublished copy in batches while keeping inference on their own hardware. It is less suitable for anyone who expects a managed dashboard, contracted support, or definitive authorship decisions from sentence scores.

Pros and cons

• Private, offline-capable inference: text is processed locally, and scans work offline after the model is cached.
• No usage caps or API key: the free plan supports repeated local batch review without a scan allowance.
• Flexible interfaces: CLI, Python, and MCP options accommodate different technical workflows.
• Substantial default download: the 1.7 GB model may be inconvenient on machines with limited storage, though the 126 MB option reduces that burden.
• Beta results need restraint: scores can guide attention across a batch but should not decide whether an individual sentence was AI-generated.
• No support contract or polished dashboard: users who need either should choose a more managed option.

Alternatives

TrustOriginality.ai is a better fit for someone who prefers a hosted service and a defined monthly allowance: its free plan includes one text analysis per month, while Quick Check costs €4.99 a month for three multimodal verifications and three API calls. Corrector.app suits readers who want free grammar and spelling checks without account registration, with a 15,000-character input limit shown on its checker.

SlopTotal is another free option with no account, credit card, or scan limits. Trinka is an alternative with a free plan and a freemium model. Readers comparing more tools can browse AI Content Detection Software or AI Detection Software.

Verdict

Choose AI Detect if you can manage a local tool and want unlimited, offline-capable sentence scoring for private drafts and batch review. Its strongest case is the combination of local processing, multiple interfaces, and a free MIT-licensed plan. Look elsewhere if you need support, a polished dashboard, or scores that can serve as definitive judgments about individual sentences.