# Copyleaks AI Detector & ChatGPT Checker (`dev00/copyleaks-ai-detector-api`) Actor

Enterprise neural AI text detection powered by Copyleaks v10.0 classification model. Detects ChatGPT (GPT-4o, GPT-5), Claude 3.5, Gemini, Llama 3, DeepSeek, and Quillbot with phrase-level character forensics.

- **URL**: https://apify.com/dev00/copyleaks-ai-detector-api.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** AI, Agents, MCP servers
- **Stats:** 5 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 ai content checks

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Copyleaks AI Detector & ChatGPT Plagiarism Checker - Apify Actor

Enterprise neural AI text detection & LLM authorship forensics Actor powered by the **Copyleaks v10.0 classification model**. Accurately analyzes text to verify human vs AI authorship across ChatGPT (GPT-4o, GPT-5, o1/o3), Claude 3.5 Sonnet, Google Gemini, DeepSeek-R1, Llama 3, and Quillbot with phrase-level character forensics, selectable sensitivity levels (`1/3`, `2/3`, `3/3`), and exact percentage scores.

***

### 🚀 Key Features

- **Multi-Model LLM Detection**: Detects text generated by OpenAI (GPT-3.5, GPT-4, GPT-4o, GPT-5, o1, o3), Anthropic (Claude 3.5 Sonnet, Claude Opus), Google (Gemini 1.5 Pro/Flash), DeepSeek (DeepSeek-R1, V3), Meta (Llama 3, Llama 3.1, Llama 3.3), and Quillbot.
- **3 Selectable Sensitivity Levels**: Supports `1/3` (Low - Strict False Positive Prevention), `2/3` (Medium - Balanced / Standard Default), and `3/3` (High - Aggressive & Paraphrased Detection).
- **Exact Probability Scoring**: Returns precise `ai_score` (0–100%) and `human_score` (0–100%) alongside clear classification verdicts (`AI_GENERATED`, `MOST_LIKELY_AI`, or `HUMAN_WRITTEN`).
- **Phrase-Level Character Forensics**: Returns character offsets, snippet highlights, and AI anomaly intensity multipliers for detected synthetic patterns.
- **Short-Text Auto-Adaptation**: Seamlessly evaluates short snippets, single sentences, and long-form essays without minimum length restrictions.
- **Flattened Dataset & Key-Value Output**: Automatically saves the full JSON forensic payload to Key-Value Store (`OUTPUT`) and outputs flattened, structured rows to the default dataset.

***

### ⚡ Multi-Model AI Classification Coverage

This Actor inspects submissions against all major artificial intelligence models:

#### 1. OpenAI Foundation Models

- **Supported**: ChatGPT, GPT-4o, GPT-4o-mini, GPT-4 Turbo, GPT-5, OpenAI o1, OpenAI o3, and legacy GPT-3.5.
- **Output Forensics**: Identifies characteristic GPT structural transitions, repetitive sentence pacing, and formulaic conclusions.

#### 2. Anthropic Claude Models

- **Supported**: Claude 3.5 Sonnet, Claude 3.5 Haiku, Claude 3 Opus, and Claude 4.
- **Output Forensics**: Detects Claude-style nuanced hedges, high-vocabulary corporate phrasing, and analytical reasoning outlines.

#### 3. DeepSeek Reasoning Models

- **Supported**: DeepSeek-R1, DeepSeek-V3, and DeepSeek Coder.
- **Output Forensics**: Flags algorithmic step-by-step reasoning structures and technical thesis breakdowns.

#### 4. Google Gemini & Meta Llama

- **Supported**: Gemini 1.5 Pro, Gemini 1.5 Flash, Llama 3 (8B, 70B, 405B), Llama 3.1, and Llama 3.3.
- **Output Forensics**: Detects Gemini conversational phrasing and Llama token frequency distributions.

#### 5. Paraphrasers & AI Spinners

- **Supported**: Quillbot, WordAI, Undetectable AI, and StealthGPT.
- **Output Forensics**: Uncovers heavy synonym replacements and modified synthetic syntax designed to evade naive filters.

***

### 🎯 What People Use It For

- **Academic Integrity & Higher Education**: Screen student admissions essays, research papers, literature reviews, and homework assignments for generative AI contributions.
- **SEO Content Auditing & Publishing**: Audit freelance copywriters, blog posts, affiliate reviews, and news articles to maintain domain authority and avoid Google search ranking penalties.
- **Recruitment & Talent Screening**: Verify candidate cover letters, take-home writing assignments, and technical interview responses.
- **Legal & Due Diligence Review**: Verify corporate communications, compliance filings, and contract summaries.
- **Marketplace & Forum Moderation**: Screen user-generated content, fake product reviews, and automated bot discussions.

***

### 📌 Decision Rule & Usage Recommendation

Check if `success === true` AND evaluate `ai_score`:

- **`ai_score >= 50`**: Classify as `is_ai_generated: true` with verdict `AI_GENERATED` or `MOST_LIKELY_AI`.
- **`ai_score < 50`**: Classify as authentic human authorship with verdict `HUMAN_WRITTEN`.
- **Inspect `patterns_detected`**: Iterate through the `patterns_detected` array to highlight exact character positions and phrases written by AI.

***

### 💡 What Problem Does This Solve?

- *"Generic AI detectors give inaccurate false positives on authentic human writing."*
- *"Standard commercial AI detection APIs cost hundreds of dollars per month with heavy enterprise commitments."*
- *"Most detectors fail on short sentences or require at least 350+ words to run."*
- *"Content managers need exact phrase-level highlights, not just a vague overall percentage."*

Copyleaks AI Detector delivers automated, high-precision AI content forensics in a single Actor run.

***

### 🔍 Queries This Actor Answers

- *How do I check if an essay or article was written by ChatGPT or Claude programmatically in Python, Node.js, or Apify?*
- *What is an accurate API alternative to Turnitin AI, GPTZero, and Winston AI?*
- *How do I extract exact phrase character offsets and AI scores from text submissions?*
- *How do I detect Quillbot paraphrased AI text automatically?*

***

### 📥 Input JSON Examples

#### Example 1: Standard AI Content Detection (Copyleaks v10, Sensitivity 2/3)

```json
{
  "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence.",
  "engine": "copyleaks-v10",
  "sensitivity": "2/3"
}
```

#### Example 2: Authentic Human Writing (Sensitivity 1/3 Strict)

```json
{
  "text": "I spent Sunday morning in my grandfather's workshop restoring an old oak rocking chair. We sanded down the weathered armrests by hand using medium-grit sandpaper before applying two coats of warm linseed oil. It was hard work, but seeing the natural wood grain come back to life was incredibly satisfying.",
  "engine": "copyleaks-v10",
  "sensitivity": "1/3"
}
```

***

### 📤 Dataset Output Format Examples

#### Output 1: AI Generated Content (`ai_score=100%`)

```json
{
  "success": true,
  "engine": "copyleaks-v10",
  "sensitivity_level": "2/3",
  "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence.",
  "text_length": 342,
  "word_count": 42,
  "human_score": 0,
  "ai_score": 100,
  "is_ai_generated": true,
  "verdict": "AI_GENERATED",
  "confidence": "HIGH",
  "model_version": "v10.0",
  "scan_id": "scan_8fa732bc",
  "patterns_detected_count": 1,
  "patterns_detected": [
    {
      "index": 1,
      "snippet": "In today's fast-paced digital era, the convergence of artificial intelligence",
      "ai_intensity": 10.0
    }
  ],
  "scanned_at": "2026-09-01T20:30:00.000Z"
}
```

#### Output 2: Human Written Content (`human_score=100%`)

```json
{
  "success": true,
  "engine": "copyleaks-v10",
  "sensitivity_level": "2/3",
  "text": "I spent Sunday morning in my grandfather's workshop restoring an old oak rocking chair. We sanded down the weathered armrests by hand using medium-grit sandpaper before applying two coats of warm linseed oil. It was hard work, but seeing the natural wood grain come back to life was incredibly satisfying.",
  "text_length": 308,
  "word_count": 52,
  "human_score": 100,
  "ai_score": 0,
  "is_ai_generated": false,
  "verdict": "HUMAN_WRITTEN",
  "confidence": "HIGH",
  "model_version": "v10.0",
  "scan_id": "scan_4c91a0ef",
  "patterns_detected_count": 0,
  "patterns_detected": [],
  "scanned_at": "2026-09-01T20:30:00.000Z"
}
```

***

### ⚠️ Failure Context & Error Handling

If the `text` parameter is omitted or empty:

```json
{
  "success": false,
  "error": "Missing required parameter: 'text' cannot be empty."
}
```

***

### 🏷️ Keywords

`copyleaks ai detector`, `chatgpt detector api`, `ai content detector`, `claude ai detector`, `gemini detector`, `deepseek detector`, `plagiarism checker`, `ai text forensics`, `quillbot detector`, `turnitin alternative`, `gptzero alternative`, `apify actor`.

# Actor input Schema

## `text` (type: `string`):

The text content, article, essay, or paragraph you want to check for AI vs Human authorship.

## `engine` (type: `string`):

Select the AI classification engine architecture to analyze the text.

## `sensitivity` (type: `string`):

Copyleaks classification sensitivity level (1/3, 2/3, or 3/3).

## Actor input object example

```json
{
  "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence.",
  "engine": "copyleaks-v10",
  "sensitivity": "2/3"
}
```

# Actor output Schema

## `results` (type: `string`):

Direct link to the dataset items containing AI scores, verdicts, and phrase forensics

## `keyValueStoreResult` (type: `string`):

Direct link to the key-value store output record

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence."
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/copyleaks-ai-detector-api").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "text": "In today's fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence." }

# Run the Actor and wait for it to finish
run = client.actor("dev00/copyleaks-ai-detector-api").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "text": "In today'\''s fast-paced digital era, the convergence of artificial intelligence and machine learning represents a transformative milestone in modern technology. Generative language models, such as GPT-4 and Claude, leverage deep transformer architectures to process vast datasets and generate human-like prose with remarkable coherence."
}' |
apify call dev00/copyleaks-ai-detector-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/copyleaks-ai-detector-api"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/dpHeXdD70ck3rlLlg/builds/1N69SbXGDm0XlOeKE/openapi.json