Hive Moderation
AI-powered content moderation for images, video, text, and audio at enterprise scale.
Hive Moderation is a strong choice for high-volume platforms that need accurate, customizable moderation across multiple content types. Its proprietary models are trained on a decade of data and tuned for precision, which matters when false positives erode user trust. If you're a small team or startup with modest volume, the lack of self-serve pricing and free tier makes it a poor fit—consider Google's or AWS's pay-as-you-go APIs instead. For enterprises already handling millions of posts, Hive's accuracy and breadth justify the premium over simpler alternatives.
Verified 10d ago · liveness 67/100 · cite: rightaichoice.com/tools/hive-moderation
- High-volume social media platforms
- Online marketplaces with user-generated content
- Gaming platforms with live chat and voice
- Enterprise trust and safety teams
- Startups with low moderation volume
- Teams needing transparent self-serve pricing
- Projects requiring CMS plugins
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Skip Hive Moderation if you're a startup or low-volume site needing transparent, pay-as-you-go pricing or a free tier to test before committing.
Per-call pricing can add up quickly at high volume; enterprise agreements are needed for predictable costs.
Hive Moderation's custom enterprise pricing fits high-volume platforms where accuracy and breadth justify the premium. Smaller teams will find Google Cloud Vision or AWS Rekognition cheaper and more transparent.
In short
Hive Moderation — AI-powered content moderation for images, video, text, and audio at enterprise scale. Best for High-volume social media platforms, Online marketplaces with user-generated content, Gaming platforms with live chat and voice. Contact Sales pricing.
What people actually say about Hive Moderation — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
37 mentions across 3 sources (Hacker News, YouTube, Lemmy) · researched Jul 30, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +High accuracy on obvious AI-tagged images like watermarked content.
- +Multi-modal support for images, video, text, and audio in one platform.
- +Customizable rules and tunable thresholds per content category.
- +Partnerships with Thorn and IWF strengthen child safety credibility.
- +Batch processing and real-time API handle high-volume content well.
- −AI detection accuracy varies wildly, from 99.9% to 1.8% on AI images.
- −Pricing is opaque with no free tier or self-serve options.
- −Easily bypassed by AI humanizers for text content.
- −Community feedback sparse on core moderation (NSFW, violence, etc.).
- −No transparent marketplace pricing for small-scale users.
- • No transparent pricing; costs likely scale with volume and customizations.
- • On-premise deployment may incur additional infrastructure and setup costs.
Viability Score
How well maintained and how widely used is Hive Moderation? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Image moderation for NSFW, violence, hate symbols
- Video content filtering with frame-level analysis
- Text moderation for hate speech, harassment, spam
- Audio moderation via speech-to-text transcription
- AI detection for synthetic media (AI-generated images/video)
- IP and publicity rights detection (trademark, logo, celebrity)
- Customizable moderation rules with prompt-based workflows
- Multi-language support for 100+ languages
- Real-time moderation via REST API (sync/async)
- Batch processing for high-volume content
- Tunable thresholds per category (sensitivity sliders)
- Moderation dashboard for human review and analytics
- Custom model training via AutoML for niche policies
- On-premise deployment option
- Priority API throughput for Growth tier
About Hive Moderation
Hive Moderation is an AI-powered platform that helps trust and safety teams automatically detect and filter harmful content across images, video, text, and audio. It processes billions of items monthly, offering customizable moderation rules, multi-language support, tunable thresholds, and a REST API with synchronous and asynchronous endpoints. Beyond standard moderation, Hive detects AI-generated synthetic media, IP and publicity rights infringements, and provides a dashboard for human review. Built for high-volume platforms, it partners with organizations like Thorn and the IWF to support child safety. Compared to cloud-native options like Google Cloud Vision or AWS Rekognition, Hive emphasizes higher accuracy on nuanced content and broader modality support, though it lacks transparent self-serve pricing and a free tier.
Behind the Verdict
Hive Moderation stands out for its comprehensive approach to content moderation. Unlike many competitors that focus on a single modality, Hive covers images, video, text, and audio, which is crucial for platforms with diverse user-generated content. The proprietary models are trained on massive datasets, and the company's partnerships with child safety organizations add credibility. The tunable thresholds and customizable rules are particularly valuable for teams that need to enforce nuanced policies. However, the lack of transparent pricing is a significant drawback for smaller teams. You'll need to contact sales for a quote, which can be a barrier. The absence of a free tier means you can't test the service without a commitment. For startups or low-volume projects, cloud-native APIs like Google's or AWS's offer simpler, pay-as-you-go options. For enterprises with high volume and stringent accuracy requirements, Hive's precision and breadth are compelling.
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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.
Needs to automatically flag NSFW images and hate speech in user posts at scale.
Outcome: Deploys Hive's image and text moderation APIs, sets tunable thresholds, and reduces manual review workload by 80% while catching more violations.
Wants to moderate live text chat and voice chat for toxicity.
Outcome: Integrates Hive's real-time text and audio moderation, enforces community guidelines, and improves player experience with fewer harmful interactions.
Must ensure listings don't include prohibited items like weapons or counterfeit goods.
Outcome: Uses Hive's image and text analysis to scan listings, flags violations, and maintains marketplace safety standards with minimal manual oversight.
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 2026-08-30
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 the speech-to-text engine.
- Video processing latency is higher for long clips.
as of 2026-08-30
Verification history
We have re-verified Hive Moderation 18 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 18 verification passes.
Free to cite with attribution — this page re-verifies continuously.
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.
Hive Moderation's custom enterprise pricing fits high-volume platforms where accuracy and breadth justify the premium. Smaller teams will find Google Cloud Vision or AWS Rekognition cheaper and more transparent.
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 engineering teams, basic API integration can be done within hours using Hive's REST API and documentation. Full deployment with custom rules and model tuning may take a few days. Sales-led onboarding adds time for contract and SOC2 reviews.
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 Google Cloud Vision or AWS Rekognition: Hive offers broader modality coverage and higher accuracy, but requires sales engagement to set up.
- →From manual moderation: Hive replaces manual review with automated flagging, but you'll need to define policies and thresholds upfront.
- ↗To Google Cloud Vision: Pay-as-you-go and transparent pricing, but may lack Hive's specialized accuracy and multi-modal coverage.
- ↗To AWS Rekognition: Similar cloud-native option with simpler pricing, but may not match Hive's accuracy on nuanced content.
Resources & Guides
Tutorials & Learning

AIコンテンツ検出ツール/Hive AI Detectorの使い方と判定精度を比較レビュー!【Hive Moderation】
シュナch / 蓮本俊介 ~ブログ副業と目標達成論~

How to use Hive Moderation ai detection. #hivemoderation #fyp #ai
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【hivemoderation.com/ai-generated-content-detection】AIが作ったテキストや画像を検出『AI-Generated Content Detection』
アトム・AIちゃんねる
YouTube returned 6 videos for “Hive Moderation”, and we withheld 2: 2 did not mention Hive Moderation. Showing the 4 we can prove are about Hive Moderation.
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