Hive Moderation

Hive (The Hive AI) provides cloud APIs for automated content moderation and media understanding. Its classifiers scan images, video, audio, and text for categories like nudity, violence, gore, hate symbols, drugs, and spam, returning confidence scores that trust-and-safety teams use to auto-remove or queue content for human review. Hive is a common alternative to building in-house models or using AWS Rekognition and Google Cloud’s moderation tools.

Beyond classic moderation, Hive is known for its AI-generated content and deepfake detection models, which estimate whether an image was produced by tools like Midjourney, DALL-E, or Stable Diffusion. The company works with dating apps, marketplaces, social platforms, and even government and defense clients, and has expanded into broader visual recognition and search.

Key Features

• Visual moderation for NSFW, violence, gore, weapons, and drugs
• Text moderation for hate speech, harassment, and spam
• Audio and speech moderation via transcription plus classification
• AI-generated image detection across major generators
• Deepfake detection for photos and video
• Logo, OCR, and demographic recognition models
• REST API with confidence scores for automated pipelines

Pricing

• Free/Trial: A block of free API calls to evaluate the models
• Pay-as-you-go: Per-call pricing that varies by model
• Enterprise: Volume discounts, SLAs, and dedicated support

Best For

Platform engineers and trust-and-safety teams at social apps, marketplaces, and dating services that need to moderate large volumes of user-generated content, plus teams wanting a ready-made signal for whether media is AI-generated.

Limitations

Hive’s AI-image and deepfake detectors output probabilities, not proof, and can be fooled by post-processing or newer generators — they should inform, not decide, high-stakes calls. The service is API-first, so it suits engineering teams more than non-technical moderators, and per-call costs can climb quickly at consumer scale.