# AI Detector & ChatGPT Checker (`dev00/detector-io-ai-detector-apify`) Actor Instantly check if text was written by an AI (ChatGPT, Claude, Gemini, GPT) or a human. Get detailed percentage scores and bypass detection. - **URL**: https://apify.com/dev00/detector-io-ai-detector-apify.md - **Developed by:** [dev00](https://apify.com/dev00) (community) - **Categories:** AI, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Detector.io AI Detector & ChatGPT Checker - Claude, Gemini & GPT-4 Text Analysis Instantly check if text was written by an AI (ChatGPT, Claude, Gemini, GPT-4) or a human. Get detailed percentage scores and bypass detection. --- ### Features - **Multi-Model Support**: Detects content from ChatGPT (GPT-3.5/GPT-4), Claude (Anthropic), Gemini (Google), LLaMA, and more. - **Accuracy**: Calculates a simple 0-100 score indicating the probability of AI authorship. - **Developer-Friendly Output**: Output format contains scores, truncation indicators, and rate-limit details. --- ### Use Cases #### 1. Content Agencies, Publishers & SEO Blogs Search engines prioritize high-quality, human-written content. Use this Actor to: - Automatically audit freelance article submissions before publishing. - Ensure your entire blog portfolio remains helpful and compliant with search engine quality guidelines. - Prevent ranking drops caused by low-effort, mass-produced AI content. #### 2. Academic Integrity & Education Help educators and online learning systems maintain academic honesty: - Integrate with LMS tools to scan student papers, essays, and reports. - Detect copy-pasted ChatGPT outputs or paraphrased materials. #### 3. Recruitment & HR Screenings Verify candidate credentials and take-home exercises: - Scan candidate resumes, cover letters, and coding task write-ups to ensure originality. #### 4. UGC Platforms & Community Moderation - Identify bots, automated reviews, and comment spam in real-time. --- ### Input Schema The input should be a JSON object containing the text to analyze (must be at least 30 words). ```json { "text": "Your text content goes here. It should be at least 30 words long for the API to run successfully." } ```` *** ### Output Example The actor outputs the prediction results in the following format: ```json { "success": true, "data": { "score": 91, "input_text": "LTK is the undisputed heavyweight giant of creator monetization...", "is_truncated": false, "has_remaining_attempts": true } } ``` *** ### Keywords `AI detector` `AI content detector` `AI text detector` `ChatGPT detector` `GPT-4 checker` `Claude AI detector` `Gemini AI checker` `AI writing scanner` `AI plagiarism checker` `AI check tool` `paraphrasing detector` `detector.io checker` `human vs AI text` `AI probability score` `UGC spam filter` `academic integrity detector` `student writing AI checker` `automated essay checker` # Actor input Schema ## `text` (type: `string`): Paste the text you want to analyze for AI-generated content (e.g., essay, article, product review). Note: The text must be at least 30 words long. ## Actor input object example ```json { "text": "Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since 1966, when designers at Letraset and James Mosley, the librarian at St Bride Printing Library, took a 1914 Cicero translation and scrambled it to make dummy text for Letraset's Body Type sheets. It has survived not only many decades, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised thanks to these sheets and more recently with desktop publishing software including versions of Lorem Ipsum." } ``` # Actor output Schema ## `results` (type: `string`): No description ## `keyValueStoreResult` (type: `string`): No description # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "text": "Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since 1966, when designers at Letraset and James Mosley, the librarian at St Bride Printing Library, took a 1914 Cicero translation and scrambled it to make dummy text for Letraset's Body Type sheets. It has survived not only many decades, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised thanks to these sheets and more recently with desktop publishing software including versions of Lorem Ipsum." }; // Run the Actor and wait for it to finish const run = await client.actor("dev00/detector-io-ai-detector-apify").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "text": "Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since 1966, when designers at Letraset and James Mosley, the librarian at St Bride Printing Library, took a 1914 Cicero translation and scrambled it to make dummy text for Letraset's Body Type sheets. It has survived not only many decades, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised thanks to these sheets and more recently with desktop publishing software including versions of Lorem Ipsum." } # Run the Actor and wait for it to finish run = client.actor("dev00/detector-io-ai-detector-apify").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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": "Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry'\''s standard dummy text ever since 1966, when designers at Letraset and James Mosley, the librarian at St Bride Printing Library, took a 1914 Cicero translation and scrambled it to make dummy text for Letraset'\''s Body Type sheets. It has survived not only many decades, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised thanks to these sheets and more recently with desktop publishing software including versions of Lorem Ipsum." }' | apify call dev00/detector-io-ai-detector-apify --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dev00/detector-io-ai-detector-apify", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Detector & ChatGPT Checker", "description": "Instantly check if text was written by an AI (ChatGPT, Claude, Gemini, GPT) or a human. Get detailed percentage scores and bypass detection.", "version": "1.0", "x-build-id": "482mFiyLa3qTJFa7U" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dev00~detector-io-ai-detector-apify/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dev00-detector-io-ai-detector-apify", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dev00~detector-io-ai-detector-apify/runs": { "post": { "operationId": "runs-sync-dev00-detector-io-ai-detector-apify", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dev00~detector-io-ai-detector-apify/run-sync": { "post": { "operationId": "run-sync-dev00-detector-io-ai-detector-apify", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "text" ], "properties": { "text": { "title": "Text to Check", "type": "string", "description": "Paste the text you want to analyze for AI-generated content (e.g., essay, article, product review). Note: The text must be at least 30 words long." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```