ContentMod

ContentMod

AI-powered API for text and image moderation to ensure a safe online environment.

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Overview

ContentMod is an AI-powered API tailored for developers and platforms that need scalable text and image moderation. It allows for seamless integration into existing systems, automatically detecting and filtering content that violates safety standards, such as hate speech, explicit material, or spam. By leveraging sophisticated machine learning models, ContentMod ensures real-time analysis that adapts to evolving online behaviors and language. It is the go-to solution for tech teams seeking to protect users, uphold community standards, and minimize manual moderation workloads in a digital environment.

How to Use

To use ContentMod, integrate its API into your platform or application. Send text or images to the endpoint, and the AI will analyze them for inappropriate content, returning flags and severity scores to help you maintain a safe environment.

Core Features

Text moderation Image moderation API access Severity scoring Real-time response

Use Cases

  1. 1 Protecting users from harmful content on social media platforms.
  2. 2 Moderating user-generated content on forums and online communities.
  3. 3 Ensuring brand safety by filtering inappropriate content on e-commerce sites.
  4. 4 Automating content moderation workflows to reduce manual review efforts.

Frequently Asked Questions

How does ContentMod detect inappropriate content?
ContentMod uses AI models trained to recognize harmful text and imagery, classifying content such as hate speech, harassment, and explicit material automatically.
What languages does ContentMod support?
ContentMod's text moderation supports a wide range of languages, including English, Spanish, French, German, and many others.
How can I integrate ContentMod into my application?
ContentMod is a REST API, so you can integrate it with a simple HTTP call from any programming language or platform.
What are Review Queues?
Review Queues let you route flagged content to human reviewers for manual verification, providing a human-in-the-loop layer on top of AI moderation.
What is the difference between text and image moderation in terms of token usage?
Text moderation costs are measured in tokens per character processed, while image moderation uses a fixed token cost per image analyzed.