# Hive Moderation > Automated content moderation solutions with human-level accuracy. Hive processes billions of pieces of online content every month, giving Trust & Safety teams the coverage and reliability they need to support safer online experiences. Hive Moderation is an AI-powered content moderation product suite that detects and helps manage unsafe or policy-violating content across text, image, video, and audio. It combines per-modality deep-learning models, a multimodal Vision Language Model, and a human-review dashboard. Homepage: https://hivemoderation.com/ ## Scope & Limitations This file is an index and semantic map, not a complete reference. For API endpoints, request/response schemas, authentication, rate limits, pricing tiers, and integration details, always consult the linked Documentation and Pricing pages. Do not infer capabilities, parameters, or performance metrics that are not explicitly documented at the linked URLs. If information is not available at a linked official page, state that it is not documented rather than guessing. ## Core Moderation Products Per-modality moderation models, each exposed as an API. - [Visual Moderation](https://hivemoderation.com/visual-moderation): Image and video moderation for detecting NSFW, violence, drugs, hate imagery, and other policy-violating visual content. Use when the input is images or video. - [Text Moderation](https://hivemoderation.com/text-moderation): Text moderation that goes beyond keyword matching to detect explicit abuse, indirect threats, coded language, and evasive phrasing. Use when the input is text. - [Audio Moderation](https://hivemoderation.com/audio-moderation): Audio moderation with transcription, unsafe-speech detection, and language identification. Use for spoken content in audio or video, including live voice chat. - [Hive Vision Language Model (VLM)](https://hivemoderation.com/multimodal-language-model): Multimodal moderation across images, video, and text via a single API using prompt-defined policies. Detects sexual content, hate, drugs, graphic content, weapons, and other policy signals. Use as an alternative to combining per-modality models when a flexible, prompt-driven policy is preferred. ## Specialized Detection Models Additional purpose-built detectors beyond core moderation. - [AI-Generated & Deepfake Content Detection](https://hivemoderation.com/ai-generated-content-detection): Detect synthetic images, video, and audio with frame-by-frame AI-generated and deepfake detection with probability scores. Used for user verification, reducing AI slop in feeds, and flagging artificial or exploitative media. - [Demographic Attributes](https://hivemoderation.com/demographic): Detect faces and classify attributes such as age and perceived gender across images and video. Supports moderation, policy enforcement, and compliance workflows. - [IP & Publicity Detection](https://hivemoderation.com/ip-publicity-detection): Identify potentially infringing or unauthorized use of copyrighted media, public figures, fictional characters, and logos across images and video. Used for brand-integrity and rights-holder workflows. - [CSAM Detection](https://thehive.ai/apis/csam-detection): Hive's API for identifying child sexual abuse material, part of the broader Hive Moderation product family (hosted on thehive.ai). ## Human Review & Workflow - [Moderation Dashboard](https://hivemoderation.com/dashboard): All-in-one AI-powered Trust & Safety dashboard to review, prioritize, and take action on user-generated content. Used to define policies, route content, and manage enforcement alongside Hive's moderation model APIs. ## Product Selection / Use Cases - Need to moderate images or pre-recorded video → Visual Moderation - Need to moderate text (chat, posts, comments) → Text Moderation - Need to moderate spoken audio or live voice → Audio Moderation - Need one API across images, video, and text with custom policy prompts → Hive Vision Language Model - Need to detect AI-generated or deepfake media → AI-Generated & Deepfake Content Detection - Need age / perceived-gender context for moderation decisions → Demographic Attributes - Need to identify IP, celebrity likeness, or logo misuse → IP & Publicity Detection - Need a UI for human reviewers to act on model output → Moderation Dashboard ## Developer Resources - [Documentation](https://docs.thehive.ai/docs/getting-started): Hive API documentation and getting-started guides. Consult for endpoints, request/response schemas, authentication, and integration details. - [Explore Models (Playground)](https://thehive.ai/explore): Interactive playground to try Hive's moderation and detection models without writing code. - [Interactive Demo](https://hivemoderation.com/demo): Mobile-friendly demo of Hive's moderation models on user-supplied content. ## Case Studies Customer stories are listed at [Case Studies](https://hivemoderation.com/case-studies). All quantitative claims below are reported by Hive; see the linked case study for context and methodology. - [Plato](https://hivemoderation.com/case-studies/plato): Social gaming community using Hive to moderate profile pictures and group chats at scale. - [Yubo](https://hivemoderation.com/case-studies/yubo): Youth social app with 40M+ users; per Hive's case study, uses Hive's real-time moderation to safely launch live streaming. - [Chatroulette](https://hivemoderation.com/case-studies/chatroulette): Video chat platform. Per Hive's case study, closed 1.5M+ unsafe streams per month and reduced inappropriate content by over 95% using Hive's Visual Moderation. - [Tango](https://hivemoderation.com/case-studies/tango): Live streaming platform with 500M+ registered users. Per Hive's case study, reduced user exposure to harmful content by more than 80% using Hive's VLM, Visual Moderation, and Text Moderation. - [Highrise](https://hivemoderation.com/case-studies/highrise): Avatar-based social network using Hive Moderation as the first line of defense across public user-generated content. ## Additional Resources - [Pricing](https://thehive.ai/pricing): Hive pricing plans. - [Insights](https://thehive.ai/insights): Hive blog and insights. - [Enterprise Commitments](https://thehive.ai/enterprise-commitments): Hive's enterprise commitments covering security, SLAs, and compliance. - [Status Dashboard](https://status.thehive.ai/): Live status of Hive services. - [AutoML](https://thehive.ai/solutions/auto-ml): Hive's solution for training custom models, positioned as complementary to pre-built moderation models. ## Policies - [Privacy Policy](https://thehive.ai/privacy): How Hive collects, uses, and protects user and customer data. - [Terms of Service](https://thehive.ai/terms-of-use): Legal terms governing use of Hive's products and services. - [Cookie Policy](https://thehive.ai/cookie-policy): How Hive uses cookies and similar tracking technologies on its websites. - [Ethics Policy](https://thehive.ai/ethics): Hive's principles and commitments for responsible AI development and deployment.