AI Detector
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For Developers

AI Detection for Developers

Detect AI-generated code and integrate AI detection into your applications. A straightforward REST API with structured responses, detailed documentation, and developer-friendly tooling.

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Developer Use Cases

Whether you are building a content platform, code review tool, or moderation system, AI detection gives your application a new capability.

Verify Code Originality

Detect AI-generated code in pull requests, submissions, and code review workflows. Useful for hiring assessments, educational platforms, and open-source contribution screening.

Protect Intellectual Property

Screen code contributions to identify AI-generated content that may introduce licensing ambiguity. AI-generated code can sometimes reproduce patterns from training data.

Build Detection into Your Product

Add AI detection as a feature in your own application. Content platforms, educational tools, and moderation systems all benefit from integrated AI detection capabilities.

CI/CD Integration

Add AI detection checks to your continuous integration pipeline. Automatically flag pull requests that contain significant amounts of AI-generated code for additional review.

Content Platform Screening

Build automated content screening into your platform. Flag AI-generated submissions, reviews, or posts before they are published, and route them to human review when needed.

Analytics & Reporting

Track AI content trends across your platform over time. Our structured API responses make it easy to aggregate detection data into dashboards and reporting systems.

Technical Approach

How our detection engine works under the hood and why it matters for your integration.

Multi-Model Ensemble

We combine perplexity analysis, cross-model log-likelihood comparison, and fine-tuned classifiers into an ensemble. Multiple algorithms cross-reference each other for more reliable results than any single model.

Low False Positive Focus

Our detection thresholds are tuned to minimize false positives. When integrating AI detection into automated workflows, false positives create friction and erode user trust. We prioritize precision.

Language-Aware Analysis

Our models analyze structural patterns in text and code. For prose, this includes syntax complexity and stylistic consistency. For code, it considers patterns common in AI-generated output.

Sentence-Level Granularity

API responses include per-sentence detection scores, not just document-level verdicts. Build UIs that highlight specific flagged sections or aggregate results however your product requires.

Integration Guide

Get up and running with the AIDetector.review API in minutes.

1

Get API Access

Sign up for an account and generate an API key. The API is free to use, and there is no payment step to get started.

2

Make Your First Request

Send a POST request to our /api/v1/scans endpoint with the text you want to analyze. The API returns a JSON response with the verdict, confidence score, and sentence-level breakdown.

3

Handle the Response

Parse the structured JSON response in your application. Each result includes a top-level verdict (likely_ai, possibly_ai, uncertain, likely_human), a confidence score, and an array of per-sentence results.

4

Scale Your Integration

Monitor your usage through the dashboard as your volume grows. For bulk operations and async workflows, we build batch processing as a custom integration around your stack.

Simple API, Structured Results

A clean REST API that returns machine-readable results you can integrate into any workflow.

Request

POST /api/v1/public/scans
Content-Type: application/json

{
  "text": "Your text to analyze..."
}

Response

{
  "verdict": "likely_ai",
  "confidence": 0.87,
  "sentences": [
    {
      "text": "...",
      "verdict": "likely_ai",
      "score": 0.92
    }
  ]
}

Frequently Asked Questions

The API returns a JSON object containing a top-level verdict (likely_ai, possibly_ai, uncertain, or likely_human), a confidence score between 0 and 1, and an array of per-sentence results. Each sentence includes its text, individual verdict, and score. See our API documentation for the complete schema.

The API is free to use, with standard rate limiting and no paid plans. If you need higher throughput or custom rate limits, we handle that as a custom integration. Contact us with your requirements.

Our detection engine analyzes patterns in any text, including source code. AI-generated code often has distinctive structural patterns that our models can identify. However, detection accuracy varies by programming language and code complexity. We recommend testing with your specific use case.

Our detection works with code in major programming languages including Python, JavaScript, TypeScript, Java, Go, Rust, and C/C++. The detection analyzes structural and stylistic patterns rather than language-specific syntax, so it provides useful signals across languages.

We are developing a Python SDK to simplify integration. In the meantime, our REST API is straightforward to use with any HTTP client library like requests or httpx. See our API documentation for code examples.

Batch processing is offered as a custom add-on rather than a standard endpoint, because every pipeline is shaped differently. We build it around your platform so texts are submitted and results returned in whatever form your workflow expects. Contact us and we will scope it with you.

The API uses JWT-based authentication. Authenticated endpoints require a bearer token in the Authorization header. We also offer unauthenticated public endpoints with lower rate limits for testing and light usage.

Yes. Typical analysis latency is a few seconds for standard-length texts. For real-time applications, we recommend implementing async processing with callbacks rather than blocking on the API response, especially for longer texts.

Text submitted via the API is processed for analysis and not stored permanently or used for model training. For authenticated users, scan history is available in the dashboard but can be deleted at any time. We do not share submitted content with third parties.

We do not currently offer a self-hosted option. Our detection models require significant computational resources and are continuously updated. The hosted API ensures you always have access to the latest detection capabilities without managing infrastructure.

Explore More Use Cases

ML Engineers

Evaluate detection models and integrate with ML pipelines.

Trust & Safety Teams

Scale content moderation with automated AI detection screening.

Publishing & Media

Protect editorial integrity and verify content originality.

Start Building with AI Detection

Get API access in minutes. Developer-friendly documentation, structured JSON responses, and a free API make it easy to integrate AI detection into your application.

Try It FreeAPI Documentation

Free to try. No credit card required.