Hive Moderation
AI-powered content moderation for images, video, text, and audio at scale.
A solid, high-accuracy moderation solution for platforms processing large volumes of user-generated content. Its per-call pricing and lack of a free tier make it less suitable for small projects. For lower volume or tighter cloud ecosystem fit, consider Google Cloud Vision or AWS Rekognition. Hive's tunable thresholds and multi-modal support are strong differentiators.
Verified 18d ago · liveness 75/100 · cite: rightaichoice.com/tools/hive-moderation
- Social media platforms with high-volume image/video uploads
- Online marketplaces screening user listings
- Gaming platforms detecting toxic chat behavior
- Community forums requiring real-time text moderation
- Small projects with low moderation volume (no free tier)
- Teams needing transparent, self-serve pricing
- Platforms requiring deep CMS integration (e.g., WordPress plugin)
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Skip Hive Moderation if you need a free tier or transparent per-month pricing, or if you want a plug-and-play integration with a common CMS or forum platform.
Going over 1 million API calls per month requires a Growth or Enterprise plan with custom pricing, so your cost per call may increase.
Per-call pricing is flexible for low-volume usage but becomes expensive for high-volume platforms without enterprise negotiation. Smaller teams may find AWS Rekognition or Google Cloud Vision more cost-effective, as they offer free tiers and clearer monthly pricing. Hive's volume discounts require a sales conversation.
In short
Hive Moderation — AI-powered content moderation for images, video, text, and audio at scale. Best for Social media platforms with high-volume image/video uploads, Online marketplaces screening user listings, Gaming platforms detecting toxic chat behavior. Plans from $0.004/mo.
Viability Score
How likely is Hive Moderation to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- AI-powered image moderation
- Video content filtering
- Text moderation and filtering
- Audio moderation with speech-to-text
- Customizable moderation rules
- Multi-language support
- Real-time moderation
- REST API with sync and async endpoints
- Batch processing support
- Tunable thresholds per category
- Priority API throughput (Growth)
- Custom model training (Growth)
- Advanced analytics dashboard (Growth)
- On-premise deployment option (Enterprise)
- SLA guarantees for uptime and latency (Enterprise)
About Hive Moderation
Hive Moderation is an AI-powered content moderation platform that automatically filters and manages user-generated content across images, video, text, and audio. Designed for social media platforms, online marketplaces, gaming platforms, and community forums, it enforces community guidelines in real time. Key features include customizable moderation rules, multi-language support, tunable thresholds per category, and a REST API with both synchronous and async endpoints. The platform uses machine learning models to detect hate speech, nudity, violence, spam, and other harmful content. It scales to high-volume traffic and offers batch processing. Pricing is per-call (text, image, audio, video) with volume-based discounts. While accurate and scalable, it lacks a free tier and transparent self-serve pricing.
Behind the Verdict
Hive Moderation excels in accuracy and scalability for multimodal content moderation. Its strength lies in customizable rules and tunable thresholds, allowing granular control per category. The REST API with batch processing supports high-throughput workflows. However, the lack of transparent self-serve pricing and a free tier limits accessibility for small teams or early-stage projects. The per-call pricing can become expensive at very high volumes without an enterprise agreement. Integration ecosystem is sparse — no pre-built plugins for common CMS or platforms, requiring custom API work. Audio moderation is limited to languages supported by the speech-to-text engine. On the plus side, the platform supports on-premise deployment for Enterprise, which is critical for data-sensitive industries. Overall, it's a powerful tool for established platforms needing robust moderation, but not a 'set it and forget it' solution — expect some custom integration effort.
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Real-world workflow fit
Concrete scenarios for the personas Hive Moderation actually fits — and what changes day-one when you adopt it.
Daily user uploads images and videos; you need to auto-flag inappropriate content in real time.
Outcome: Integrate Hive's REST API to scan every upload, with tunable thresholds for nudity and violence, reducing manual review time by 80%.
Live chat streams contain hate speech and spam; moderation must be instant.
Outcome: Feed chat messages to Hive's text moderation endpoint, automatically muting or warning users, improving community safety.
Product listings include prohibited items like weapons or drugs; you need batch scanning.
Outcome: Use Hive's batch processing to scan thousands of listings per hour, flagging violations for review.
Use Cases
- Detect and filter hate speech in live chat on gaming platforms
- Auto-flag nudity or violence in images on social media
- Scan e-commerce listings for weapons or drugs
- Analyze audio for profanity in educational apps
- Moderate video comments and live streams for self-harm
- Remove spam and phishing links in forums
Models Under the Hood
as of 2026-07-06
Limitations
- Per-call pricing can be costly at very high volume without an enterprise agreement.
- No free tier or self-hosted open-source version.
- Audio moderation limited to languages supported by speech-to-text engine.
- Video processing latency higher for longer clips.
as of 2026-07-01
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Hive Moderation tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
$0.004 per unit (text/image/audio/video call)
Ideal for
Small to medium-scale platforms with up to 1 million API calls per month, needing basic multimodal moderation
What this tier adds
Starting tier at $0.004/unit — includes all base models, tunable thresholds, and batch processing, but no priority throughput or custom training.
Growth
Volume-based pricing (contact for quote)
Ideal for
Growing platforms with higher traffic that need priority throughput, dedicated support, and custom model training
What this tier adds
Adds priority API throughput, custom model training, advanced analytics dashboard, and dedicated support SLA over Starter.
Enterprise
Custom pricing (contact sales)
Ideal for
Large organizations needing on-premise deployment, custom SLA, and dedicated account management
What this tier adds
Adds on-premise option, uptime/latency SLAs, custom integration support, and dedicated account manager over Growth.
Where the pricing makes sense
The company stage and team size where Hive Moderation's pricing actually pencils out — and where peers do it cheaper.
Per-call pricing is flexible for low-volume usage but becomes expensive for high-volume platforms without enterprise negotiation. Smaller teams may find AWS Rekognition or Google Cloud Vision more cost-effective, as they offer free tiers and clearer monthly pricing. Hive's volume discounts require a sales conversation.
Setup time & first value
How long it actually takes to get something useful out of Hive Moderation — broken out by persona, not the marketing-page minute.
For a developer familiar with REST APIs, basic integration (text/image moderation) can be done in a few hours. Audio/video moderation requires more tuning (language selection, latency considerations). Batch processing and custom rule setup may take a day or two. No-code/plugin setup is not available.
Switching to or from Hive Moderation
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual moderation: Build custom scripts to call Hive API instead of human review
- →From open-source classifiers: Replace with Hive's API for higher accuracy and multimodal support
- ↗To Google Cloud Vision: Adjust image moderation to GCP's API and pricing model
- ↗To AWS Rekognition: Map custom categories and redevelop integration
Resources & Guides
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