NSFW MODERATION API

Automatically Moderate, Label & Categorize Images

This API provides a robust solution for automatically checking images and labeling them with specific NSFW (Not Safe For Work) labels. It helps maintain a safe and appropriate environment for your users by identifying and filtering potentially offensive content.

Submit image as JSON with Base64 encoded image, or as FormData for easy testing direct from the RapidAPI Console.

Key Features:

Comprehensive Content Detection: Accurately identifies and categorizes images containing nudity, pornography, violence, and other adult content.
Detailed Labels: Provides specific NSFW labels for each image, allowing for granular control over content moderation.
Confidence Levels: Offers a confidence score for each label, indicating the certainty of the classification.
Real-time Analysis: Processes images quickly, enabling real-time moderation of user-generated content.
Customizable Sensitivity: Allows you to adjust the sensitivity of the API to meet your specific content moderation requirements.
Easy Integration: Simple and straightforward integration into various platforms and applications.
Scalable and Reliable: Designed to handle large volumes of images with high accuracy and uptime.

USE CASES

Social Media Platforms: Automatically moderate user-uploaded images to prevent the spread of NSFW content.
Dating Apps: Filter out inappropriate profile pictures and ensure a safe experience for users.
E-commerce Sites: Moderate product images to comply with advertising guidelines.
Online Forums: Prevent the posting of offensive content in discussions.
Content Sharing Platforms: Ensure that shared images are appropriate for the intended audience.
Printing Services: Filter out inappropriate content from incoming printing sketches and orders.
Image/Video Hostings: Secure media hostings from inappropriate sexual images/videos being made public

BENIFITS

Enhanced User Safety: Protects users from exposure to inappropriate content.
Improved Brand Reputation: Maintains a positive brand image by ensuring content suitability.
Reduced Manual Moderation: Automates the content moderation process, saving time and resources.
Compliance with Regulations: Helps ensure compliance with content regulations and guidelines.
Increased User Engagement: Fosters a safer and more welcoming environment, leading to increased user engagement.

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