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AI Enabled Content Moderation and Image Analysis
Powerful platforms designed to automatically assess, filter, and regulate images, videos, and text— ensuring seamless, scalable, and effective content moderation.

Image Moderation
Accurate detection of inappropriate imagery beyond human perception.

Violence Detection
Detect and block violent content to protect community standards.

Deepfake Detection
Identify and flag manipulated media for enhanced content integrity.

AI-Generated Images Detection
Detect synthetic images to combat misleading visuals.

Nudity Detection
Detect and filter explicit content to maintain compliance and safety.

Text Moderation
Filter harmful or inappropriate text content seamlessly.

Self-Harm Detection
Recognize self-harm content to enable timely intervention.

Offensive Content Detection
Identify and remove hate speech or offensive material.

Gore Content Detection
Detect and filter graphic or distressing visuals to maintain safety.

Face Detection
Identify faces in images for personalized moderation.

Sunglasses Detection
Detect sunglasses in images to enhance identity verification.

QR codes Detection
Scan and validate QR codes for secure digital sharing.
Why Use ModEngine
Why Use ModEngine
Content risks are evolving—so should your moderation. ModEngine combines AI precision with real-time analysis to detect harmful visuals instantly, minimizing human error and bias. Scalable, efficient, and adaptable, it helps you protect users, streamline moderation, and uphold platform integrity without compromising speed or accuracy.
AI-Powered Accuracy
Detects harmful content with precision, minimizing human error.
Proven & Reliable
Successfully analysed millions of images, ensuring robust moderation.
Real-Time Moderation
Instantly filters visuals for fast, effective content control.
Scalable & Customizable
Adapts to platform needs while handling high-volume content.







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Frequently Asked Questions
How long does it take to integrate ModEngine?
This will depend on the way your back-end and your current content handling works. We have worked hard to make the API simple and straightforward to use. You can have your first requests hit the API in 5 minutes, and can have a simple integration up and running in a few hours. In some cases we have had users who took a few days to perform a deeper integration. Because we handle all the content processing and analysis on our end, and because we can easily hook into existing image stores such as Amazon S3, Azure blobs, Cloud Storage or any CDN, most of the work is usually to adapt your content handling and moderation pipeline, and to define the moderation rules you want to implement.
How accurate are the moderation results? What does the confidence score mean?
Does the API detect personal information?
How do you process GIF images with multiple frames (animated GIFs)?
Can you detect duplicate images, or image spam?
What is the maximum text length?










