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Content Moderation APIs in 2026: Text, Image and Video Compared

Blog post from Eden AI

Post Details
Company
Date Published
Author
Samy Melaine
Word Count
2,856
Company Posts That Month
10
Language
English
Hacker News Points
-
Summary

In 2026, content moderation APIs, powered by machine learning, are crucial for automatically detecting harmful content in text, images, and videos, with major providers including OpenAI Moderation, Hive Moderation, AWS Rekognition, and Azure AI Content Safety. These APIs categorize content into safety categories such as hate speech and explicit imagery, allowing applications to manage content without manual inspection. The increasing complexity of content moderation is driven by the proliferation of AI-generated content, rising regulatory demands, and the prevalence of multi-modal content. OpenAI offers a free omni-moderation model, while Hive Moderation excels in multi-modal accuracy. Eden AI facilitates access to multiple providers through a unified API endpoint, helping mitigate operational overhead. Providers vary in their pricing, language support, and accuracy, with OpenAI and Google Perspective offering strong text moderation capabilities for free, while Hive and Sightengine lead in image and AI-generated content detection. The development of a multi-provider moderation pipeline is recommended, combining free and premium services to balance cost with accuracy and compliance, particularly in regions adhering to regulations like GDPR.

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