Hive Moderation

Hive is an AI platform that provides content understanding APIs. Its official website lists models such as visual, text and audio moderation, AI-generated image and video recognition, OCR, as well as trademark and celebrity recognition, and it charges based on call volume.

AI Image Recognition#Content Review#AI Content Detection#API

Updated: 2026-10-26

What is Hive Moderation?

Hive (thehive.ai) describes itself as "AI for understanding, searching, and generating content." Its core is opening a set of pre-trained models in the form of APIs, which can be integrated with just a few lines of code. The difference between it and single-purpose moderation services lies in its broad model portfolio: it not only provides visual, text and audio moderation, but also offers AI-generated content recognition, OCR, scene recognition, trademark and celebrity detection, media search and speech transcription, as well as image, video and audio generation models, and supports AutoML for custom model training. The official website homepage provides real-time demonstrations, allowing users to directly experience AI-generated image recognition.

Who is it for?

Social media, community, live streaming, gaming and dating platforms for UGC content safety and risk control
Generative AI applications that need to label AI-generated content or prevent abuse
E-commerce and marketplace platforms to ensure compliance of product images and investigate counterfeit products and trademark infringement
Insurance and financial services, conducting document verification, anti-fraud, and identity risk control
Large and medium-sized platforms that already have moderation teams and hope to use models to reduce manual workload

Key features

Content Moderation

The official website states that it can detect harmful content such as NSFW, hate speech, violence, and CSAM, covering three types of media: images, text, and audio; regarding CSAM detection, the official blog mentions that it has integrated Thorn's Safer Match.

AI-Generated Content Recognition

The model list includes AI image and deepfake classification, AI video detection, and AI audio classification. The homepage demo is "Recognize AI-Generated Images"; the official blog mentions an independent study stating that its detection is superior to that of similar tools and human experts. This claim comes from the official blog, and it is recommended to review it independently.

Hive Vision Language Model

The model name in the code example is hive/moderation-11b-vision-language-model, which is called via /api/v3/chat/completions. The official states that it can be used for low-latency review, detection and verification; the pricing page shows an input price of $0.50 per million tokens and an output price of $2.50 per million tokens. Images are cropped into a maximum of 6 tiles according to the aspect ratio, with each tile costing 256 tokens.

OCR and Scene Recognition

Provides OCR, contextual scene classification, aesthetic classification and object detection, which can serve as pre-processing for image understanding and retrieval.

Person and Brand Recognition

Includes Logo and location recognition, celebrity recognition, celebrity voice detection, face detection and similarity, headcount statistics and image detection, which can be used for sponsorship exposure measurement and copyright verification.

Search, Translation and Generation

Provide Media Search and custom indexing, speech-to-text transcription and text translation, as well as text-to-image, image-to-text, text-to-audio and text-to-video models; enterprise solutions include Moderation Dashboard manual review console and multi-region deployment.

How to use Hive Moderation

First go to the demo page to run a batch of real samples (dozens of normal ones and dozens of non-compliant ones), confirm the false positive and false negative rates before discussing access, as public benchmarks are often far from the business distribution.
The unit prices of models vary greatly: the pricing page shows that Logo and location recognition cost 7 US dollars per thousand times, celebrity recognition costs 1.5 US dollars per thousand times, text review costs 0.50 US dollars per thousand times, and the free tier has a daily limit of 100 times.
Before access, calculate the bill according to the volume.
After registering and binding a bank card, you get a free credit of more than 50 US dollars, which is enough to complete a full verification.
for multi-modal scenarios, directly use the Hive Vision Language Model, noting that images are counted as input tokens by tiles.
Review is a high-risk scenario.
It is recommended to retain manual review and appeal channels, and configure strategies according to regional regulations.