Automatic Image Moderation with Vision AI

Image Moderation API

Use computer vision to process and automatically moderate user submitted images in real-time. Detect whether an image contains explicit material, or mature content. Keeping your platform safe is made easy with automatic image moderation API.



Automatic Image Moderation Online

Detect whether images are appropriate using automatic image moderation with Vision AI.

Note that this is a basic demo. Please try the new advanced vision AI demo

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Available with asticaVision API:


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Integrate asticaVision
With 1 Line of Code

Powerful computer vision to describe images, detect faces and objects, and moderate uploaded images.

Rest API also available from your account dashboard  (PHP / Python / Javascript / More) Go to Dashboard

<script src="https://astica.ai/javascript-sdk/2023-07-09/astica.api.js"></script>
<script>
    asticaAPI_start('API KEY HERE'); //run at least once    
   
    //Example 1:   
    asticaVision('Image URL or Base64', 'Objects'); //simple computer vision  
    
    
    //Example 2:   
    asticaVision('Image URL', 'Description,Faces,Objects'); //with options:
  
  
    //Example 3:   
    asticaVision('https://astica.ai/example/asticaVision_sample.jpg'); //advanced, simple
    
    
    //Example 4:      
    //advanced with parameters:
    asticaVision(
        '1.0_full', //modelVersion: 1.0_full, 2.0_full
        'IMAGE URL or Base64', //Input Image
        'Description,Moderate,Faces', //or 'all'
        your_astica_CallBack, //Your Custom Callback function
    ); 
    
    //Set Your Custom Callback Function
    function your_astica_CallBack(data) {   
        if(typeof data.error != 'undefined') { alert(data.error); }         
        console.log(data); //view all data
    }	     
</script>

asticaVision Samples Click to enlarge



Describe Image
Detect Age and Gender
Object Detection

Filter Sensitive Images

Machine vision is used to analyze each image to determine whether it contains adult subjects matter.  Use the Image Moderation API from astica to keep your platform or application safe by automatically filtering and blocking user submitted contain that contains violent or mature content.  



Age Appropriate Content

Vision API will allow you to select the kind of inappropriate content to block and provides different categories of mature subject matter. Each image will be analyzed to determine whether the image is considered to be violent or suggestive, or containing adult material.



Detect Faces

Identify whether an image contains a face including the bounding box dimensions enabling you to tag people or blur faces. Facial Recognition offers a variety of other functions, including the age and gender of each person.



Accurate Moderation Weight

Image Moderation API will provide a dedicated score for each type of subject matter and provides your platform or application with the ability to choose the moderation threshold. Minimize false positives by adapting to an appropriate weight for your community and age group.



Integrate Automatic
Image Moderation API

Validate images and detect sensitive content or mature material using Vision AI.

<script src="https://astica.ai/javascript-sdk/2023-07-09/astica.api.js"></script>
<script>
    asticaAPI_start('API KEY HERE'); //run at least once    
   
    //Example 1:   
    asticaVision('Image URL', 'Objects'); //simple computer vision  
    
    
    //Example 2:   
    asticaVision('Image URL', 'Description,Faces,Objects'); //with options:
  
  
    //Example 3:   
    asticaVision('https://astica.ai/example/asticaVision_sample.jpg'); //advanced, simple
    
    
    //Example 4:      
    //advanced with parameters:
    asticaVision(
        '1.0_full', //modelVersion: 1.0_full, 2.0_full
        'IMAGE URL or Base64', //Input Image
        'Description,Moderate,Faces', //or 'all'
        your_astica_CallBack, //Your Custom Callback function
    ); 
    
    //Set Your Custom Callback Function 
	function your_astica_CallBack(data) {   
        if(typeof data.error != 'undefined') { alert(data.error); }         
        console.log(data); //view all data
    }	     
</script>