Hive Moderation

Hive Moderation is a cloud service for screening user-generated images, video, text, audio, and live content. It suits platforms that need several specialized detectors plus operational workflows for policy enforcement and human escalation. The trade-off is a paid model with conservative self-serve limits, making it stronger for established products than for casual experiments.

Overview

Hive exposes its moderation models through cloud APIs and adds a web dashboard for applying policies. Teams can define custom rules and actions, manage spam, investigate reports, process appeals, and route cases into manual-review queues. That combination connects automated decisions with the people responsible for exceptions and enforcement.

Its service is aimed at enterprise processing, with real-time metadata and moderation signals delivered by API. Hive reports 100% uptime over the past 90 days for its Sync API, Async API, dashboard features, and NCMEC Reporting. Deployment is cloud-based, so organizations seeking a self-hosted stack should look elsewhere.

Key features

Broad media coverage

Visual Moderation returns more than 90 subclasses spanning major Trust and Safety categories in one API response. Text Moderation identifies explicit abuse, indirect threats, coded language, and evasive phrasing in about 30 languages. OCR reads text in memes, GIFs, screenshots, and other image-based material, allowing words inside pictures to enter the moderation pipeline.

Audio Moderation combines speech-to-text with speech analysis and returns punctuated transcripts, word-level timestamps, confidence scores, and moderation results. Hive also lists images, video, GIFs, WEBP, audio, and live streams as supported formats, useful for services where harmful material is not confined to ordinary still images or comments.

Policy-driven automation

Hive VLM applies prompt-defined policies to images, video, and text through one API. Policies can change without retraining, which is practical when enforcement standards evolve. The dashboard adds custom rules and actions, reports, appeals, spam controls, and human-review queues rather than leaving every decision in an API response.

Safety and compliance tooling

Dashboard workflows are intended to help platforms address Digital Services Act obligations and include CSAM reporting through NCMEC integration. Hive says its products partner with Thorn and the IWF; its Text Moderation model includes IWF keyword and URL-list results at no extra cost. These features are most relevant to platforms with formal child-safety and regulatory responsibilities.

Pricing

Developers

The Developers plan is free, billed as $50+ in Free Credits after you add a payment method. Selected models are pay-as-you-go, with access to 10+ Hive Models, default rate limits, and AutoML custom-model training. The headline credit removes an initial usage charge, but requiring a payment method and limiting model selection make this better for evaluation and smaller deployments than for unrestricted production.

V3 self-serve defaults include 100 requests per day for Text Moderation and 100 requests per day for Visual Moderation. Those ceilings can make high-volume testing or launch traffic impractical unless your account receives higher limits.

Enterprise

Enterprise uses custom pricing to fit organizational usage. It includes all Hive Models and the Moderation Dashboard, highest rate limits, premium expert support, and multi-region support for high-volume deployments. This is the appropriate tier when throughput, assistance, and geographic resilience matter; organizations with modest volumes may find the custom engagement unnecessary.

Published usage rates are $3.00 / 1000 Requests for Visual Moderation, $0.50 / 1000 Requests for Text Moderation, $0.03 / Minute for Audio Moderation, and $2.00 / 1000 Requests for OCR Moderation (Image). Because media models are metered by request or minute, a multimodal service should budget for each pipeline separately.

Platforms

Hive is offered through API, extension, and web interfaces. Image moderation, video moderation, custom policies, and human-review workflows are supported, with cloud deployment as the stated delivery option.

Who it's for

Hive fits social, community, marketplace, and media platforms handling several content types and needing a path from automated classification to appeals and human review. It is particularly relevant to teams with DSA or CSAM-reporting obligations, multilingual text, or live and audio content. A small project needing one inexpensive filter may be better served by a free or open-source alternative, especially given the 100-request daily self-serve defaults.

Pros and cons

Pros

• One provider covers visual, text, OCR, audio, and live-stream inputs, reducing the need to assemble separate services.
• More than 90 visual subclasses and about 30 text languages support detailed policy decisions.
• Prompt-defined VLM policies can change without retraining.
• Dashboard workflows cover rules, actions, spam, reports, appeals, and manual review.
• NCMEC reporting and IWF results address demanding child-safety workflows.

Cons

• There is no conventional free plan; Developers requires a payment method and uses credits plus pay-as-you-go selected models.
• Default self-serve limits of 100 daily requests for text and visual moderation can restrict pilots and low-tier production use.
• Enterprise pricing is custom, so predictable budgeting is harder before a sales process.
• Cloud delivery does not suit teams that require self-hosting.

Alternatives

Tisane API is a better starting point for a free, self-hostable option: its Community plan allows 50,000 requests per month but omits technical support, CORS, LM Direct Access, and customization.

Google Cloud Vision API suits teams wanting a freemium image API with a free allowance and pay-as-you-go billing per image feature.

WebPurify is worth choosing when a paid service with a free trial and live human moderation options is preferable.

Amazon Rekognition Content Moderation fits AWS users who can use its 12-month free tier, including 60 free video-analysis minutes per month.

Detoxify is a free, self-hosted open-source library for toxic-comment classification.

PicPurify offers freemium image moderation, including 2,000 free units and a $19.00-per-month Starter plan with 10,000 units.

Sightengine provides a freemium API; its Free plan is limited to 1 request per second and excludes video and live-stream processing.

Llama Guard is a free self-hosted alternative requiring the Llama Guard 3-8B model weights.

For broader directories, see AI Content Moderation Software and Social Media Moderation Software.

Verdict

Choose Hive Moderation if your platform needs multimodal detection, configurable policies, and a serious review and compliance workflow in one cloud service. Its breadth, VLM flexibility, and operational dashboard are the main reasons to pay for it. Look elsewhere if you need self-hosting, a permanently free tier, or generous default limits for a small-volume project.