How to Detect AI Content Using JavaScript

As AI-generated content becomes more prevalent, ensuring authenticity and originality in digital content is more important than ever.

This step-by-step tutorial will guide you through integrating AI content detection using JavaScript, helping you analyze and differentiate between human-written and AI-generated text. Let's dive in!

What is AI Content Detection?

AI content detection is a technology designed to analyze text and determine whether it was generated by artificial intelligence.

By leveraging advanced algorithms and machine learning models, these systems assess text for patterns, syntax, and other characteristics typical of AI-generated content.

This technology plays a crucial role in content moderation, maintaining authenticity, and preventing the spread of misleading or manipulated information. It is also useful for verifying academic integrity, detecting deepfakes, and identifying automated responses in online interactions.

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Applications of AI Content Detection:

• Plagiarism Detection: AI content detection tools help in identifying instances of copied or AI-generated text in academic, professional, and creative works, promoting originality and integrity.
• Brand Protection: Companies use AI content detection to monitor for unauthorized use of their brand, ensuring content associated with their name is legitimate and not generated by bots.
• Fact-Checking: AI content detection can help verify the authenticity of information and detect misinformation or fake news, supporting the spread of accurate and reliable content.

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How to Detect AI Content?

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Set Up Your Eden AI Account

1. Sign Up: If you don't have an Eden AI account yet, you can easily create a free one by following this link. You can obtain your API key directly from the API Keys section, along with free credits provided by Eden AI.

2. Access Text Processing Technologies: After logging in, navigate to the text processing section of the platform.

3. Select AI Content Detection: Choose the AI Content Detection feature.

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Live Test Models on Eden AI

Eden AI provides live testing for various AI models, including those for AI content detection.

You can evaluate these models using their web interface or by making direct API calls.

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Implementing AI Content Detection in JavaScript

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Install JavaScript’s Requests Module

In JavaScript, we will use axios, a popular library for handling HTTP requests. Install it using npm:

npm install axios

Using axios, you can send HTTP requests.

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Example Code

Here’s how you can use JavaScript to interact with the Eden AI API:

const axios = require("axios").default;

const options = {
  method: "POST",
  url: "https://api.edenai.run/v2/text/ai_detection",
  headers: {
    authorization: "Bearer YOUR_API_KEY",
  },
  data: {
    providers: "originalityai",
    text: "Your text here to check for AI content.",
  },
};

axios
  .request(options)
  .then((response) => {
    console.log(response.data);
  })
  .catch((error) => {
    console.error(error);
  });

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1. axios: This is the library used to make HTTP requests.
2. options: Contains the configuration for the POST request, including the authorization header, URL, and data (the payload with the text and providers).
3. axios.request(): Sends the POST request with the configured options.
4. .then() and .catch(): These methods handle the response and any errors.

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Interpreting the Results

The API response will include details about whether AI content was detected, along with a confidence score. Here is an example output:

{
  "originalityai": {
    "items": [
      {
        "detected": true,
        "score": 0.92,
        "provider": "originalityai"
      }
    ]
  }
}

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Benefits of Using Eden AI’s Unique API

Eden AI offers a variety of features that make it the perfect solution for detecting AI-generated content and optimizing your workflows:

Multiple AI Engines in One API

‍Eden AI provides access to various AI models through a single, easy-to-use API, saving time and effort compared to managing multiple services.

Save Time and Cost

Eden AI's unified API streamlines integration, enabling effortless model switching.

Easy to Integrate

‍Eden AI standardizes the JSON output format, making integration with your application smoother and eliminating the need to handle different formats.

Customization

Eden AI enables fast integration with third-party platforms and supports custom connectors. Their documentation offers detailed guidance on customizing API requests to fit your specific requirements.

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Conclusion

The ability to detect AI content is more important than ever, and with tools like Eden AI, this task becomes easier and more reliable. Whether you're working with text data for content moderation, plagiarism detection, or authenticity verification, Eden AI provides the necessary tools to stay ahead.

In this article, we’ve covered how to use the Eden AI API to detect AI-generated content using JavaScript.

We walked through the steps of obtaining an API key, coding the detection process, interpreting the results. Feel free to experiment with different providers and settings to find the best fit for your needs!

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Next Steps in Your Project

Eden AI is not just a tool—it’s a partner in your AI detection journey. Here’s how they can help take your project further:‍

Product Demo and Consultation: Book a session with Eden AI’s team to better understand how their API can meet your needs.

• Product Demo and Consultation: Book a session with Eden AI’s team to better understand how their API can meet your needs.
• Expert Support: Gain valuable insights and advice from Eden AI’s experts to find the optimal provider combinations for your project.
• Third-Party Integration: If you need further customization, Eden AI can quickly develop connectors to integrate their API into other platforms.