ContentMod

ContentMod

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

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Overview

ContentMod is an API designed for text and image moderation, leveraging AI to detect harmful content instantly and create a safer digital environment for users. It offers features like multi-lingual support, text and image analysis, webhooks, review queues, and wordlists to filter out unwanted content. ContentMod also provides integrations with various tools and platforms, a playground for testing, and analytics for moderation usage.

How to Use

Integrate the ContentMod API into your application using the provided SDK. Submit text or images to the API for analysis. Receive instant moderation results via API or webhooks and take appropriate action based on the findings.

Core Features

Multi-lingual Support Text & Image Analysis Webhooks Review Queues Wordlists Integrations Playground Analytics

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.