Hive Moderation
AI content moderation API that detects harmful text, images, video and audio (NSFW, hate speech, violence, CSAM, AI-generated content) at scale.
🔗 Visit Hive Moderation
Description
Any app that lets people post photos, comments, or videos eventually gets some content nobody wants there — harassment, explicit images, spam. Reviewing everything by hand doesn't scale past a certain size. Hive is a service that reads and looks at content automatically the moment it's uploaded and flags the harmful stuff before a human ever has to see it, plugging into an app the way a spam filter plugs into email. Hive's content moderation API scans text, images, video and audio for categories like NSFW content, hate speech, violence, CSAM, spam and fraud, and can also flag AI-generated media and recognize objects, scenes and people. It's usage-based and pay-as-you-go, with per-thousand-request pricing that scales from an individual developer testing an idea up to platforms processing millions of uploads a day, plus an AutoML option for training custom detection models on a company's own content categories.
💬 Our review
The short version: if your app has user-generated content and you don't want to build (or staff) a moderation team from scratch, Hive gives you an API that already understands most of the harmful-content categories regulators and app stores expect you to catch.
The strongest argument for Hive over rolling your own classifier is coverage breadth across modalities — text, image, video and audio in one API, rather than stitching together separate providers for each content type, which is real integration time saved. Pricing is transparent per-request at the low end ($0.50/1k text, $3/1k visual, $0.03/min audio in Hive's published examples), which is friendlier to a small team than most competitors' quote-only enterprise pricing. The honest caveat: at genuine platform scale (dating apps, marketplaces, social networks processing millions of items daily) this becomes a meaningful and recurring cost line, and like any automated moderation system it still needs human review for edge cases and appeals — no vendor's accuracy claims should be taken as "set and forget." Against Utopia AI Moderator, which markets itself specifically on language-agnostic coverage for smaller regional platforms, Hive is the broader, more US/English-market-proven default; against cloud-native options (AWS Rekognition, Azure AI Content Safety), Hive tends to win on multimodal accuracy and lose on being locked into an existing cloud vendor's billing.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Pros
Text, image, video and audio moderation in a single API
Transparent, published per-request pricing at the low end
AutoML option to train custom detection categories
Cons
Costs scale meaningfully at real platform volume
Still needs a human review/appeals process for edge cases, not a full replacement
🔄 Alternatives to Hive Moderation
See all alternatives to Hive Moderation →❓ Frequently asked questions
- What content types does Hive moderate?
- Text, images, video and audio, including categories like NSFW content, hate speech, violence, CSAM, spam/fraud and AI-generated media detection.
- How is Hive priced?
- Pay-as-you-go per request — roughly $0.50 per 1,000 text requests, $3.00 per 1,000 visual requests, and $0.03 per minute of audio in Hive's published examples — plus custom enterprise contracts for large volume.
- Can I train it on my own content categories?
- Yes, Hive offers an AutoML option for training custom detection models beyond its standard category set.
- Is it worth the money compared to alternatives?
- For a startup or mid-size platform, yes — the published per-request pricing beats negotiating an enterprise-only quote from a smaller competitor like Utopia, and covers more content types than a single cloud vendor's moderation API. At very high volume, budget for it as a real infrastructure cost, not an afterthought.
- Which tool should you pick for your case?
- General-purpose multimodal moderation at transparent pricing: Hive. Language-agnostic moderation tuned for smaller regional platforms: Utopia AI Moderator. Already deep in one cloud ecosystem: that cloud's native service (AWS Rekognition, Azure AI Content Safety) to avoid a second vendor bill.