Hive Moderation is live · custom pricing · last verified 22 Oct 2026 · viability monitor
Hive Moderation
AI content moderation across image, video, text and audio, plus AI-slop and IP/likeness detection.
Hive is the pick when moderation accuracy across images, video, text and audio is a trust-and-safety line item with a budget, not a weekend integration. Its AI-detection and IP/publicity models cover ground general vision APIs largely don't, which is why platforms at serious scale pay for it. Budget-conscious teams may get further with AWS Rekognition, Google Cloud Vision, or an open-source stack, and buyers wanting a plug-in CMS widget with no engineering work should look elsewhere.
Verdict generatedVerified 7d ago · liveness 67/100 · cite: rightaichoice.com/tools/hive-moderation
- High-volume social platforms and short-form video apps moderating millions of items monthly
- Marketplaces needing IP, trademark, and celebrity-likeness detection alongside standard NSFW filtering
- Trust and safety teams consolidating image, video, text, and audio moderation into one pipeline
- Platforms fighting AI-generated spam and synthetic media at scale
- Early-stage startups or communities with low moderation volume
- Teams that need a no-engineering CMS moderation widget
- Buyers who need an open-source or fully self-hosted moderation stack
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Skip Hive if you moderate a low-volume community that a general-purpose cloud vision API or an open-source filter would cover for less, or if you need a drop-in moderation widget with no engineering work.
Every image, video frame, text pass, and audio transcription is a billable call, so a video-heavy feed costs far more per item than a text-only one — budget on your real modality mix, not a seat count.
That structure tends to suit platforms with enough monthly item volume to negotiate against a real content count, where the per-call cost of a consolidated four-modality pipeline undercuts running separate cloud vision, text, and transcription APIs side by side. Low-volume teams will usually find AWS Rekognition or Google Cloud Vision cheaper.
In short
Hive Moderation — AI content moderation across image, video, text and audio, plus AI-slop and IP/likeness detection. Best for High-volume social platforms and short-form video apps moderating millions of items monthly, Marketplaces needing IP, trademark, and celebrity-likeness detection alongside standard NSFW filtering, Trust and safety teams consolidating image, video, text, and audio moderation into one pipeline. Pricing is on request (custom quotes).
No head-to-head comparison for Hive Moderation yet — the alternatives below are the closest matches we list.
What is Hive Moderation?
Hive Moderation — AI content moderation across image, video, text and audio, plus AI-slop and IP/likeness detection. Best for High-volume social platforms and short-form video apps moderating millions of items monthly, Marketplaces needing IP, trademark, and celebrity-likeness detection alongside standard NSFW filtering, Trust and safety teams consolidating image, video, text, and audio moderation into one pipeline. Pricing is on request (custom quotes).
Hive Moderation is a content moderation platform aimed at trust and safety teams running large user-generated content platforms. It screens four modalities in one pipeline — images, video, text, and audio — so enforcement runs consistently instead of varying reviewer to reviewer. Hive says it processes billions of pieces of content every month, and states that many of the world's leading online platforms use it to protect communities and strengthen brand safety. Four product areas make up the platform: Content Moderation (NSFW, violence, hate symbols, harassment, spam and related classes), AI Detection for synthetic media and "AI-slop," IP & Publicity Detection for trademark, logo and celebrity-likeness misuse, and a Moderation Dashboard for human review and analytics. Hive says its models are trained on proprietary datasets built over nearly a decade, are proactively updated for new data domains and customer feedback, and are benchmarked on internal evaluations against competing solutions. It also partners with Thorn and the IWF on proactive child safety efforts. It fits platforms already moderating at volume, where false positives cost user trust and false negatives cost regulatory exposure. Against general-purpose cloud vision APIs, Hive covers more modalities in a single pipeline and goes deeper on synthetic media and IP detection. AutoML custom models and prompt-based workflows let T&S teams encode policies that change faster than a fixed class list.
Key features
- Image moderation for NSFW, violence, and hate symbols
- Video moderation with frame-level content analysis
- Text moderation for hate speech, harassment, and spam
- Audio moderation via speech-to-text transcription
- AI-generated content detection and "AI-slop" filtering
- IP and publicity rights detection for trademarks, logos, and celebrity likeness
- Prompt-based moderation workflows for custom policy logic
- Custom model training via AutoML for niche categories
- Hive VLM for flexible visual policy enforcement
- Multi-language moderation coverage
- Real-time moderation via REST API with sync and async endpoints
- Batch processing for high-volume content backfills
- Tunable per-category thresholds and sensitivity controls
- Moderation dashboard for human review and analytics
- Enterprise deployment options including on-premise
Behind the verdict
Hive's real differentiator is breadth inside one pipeline. Most moderation vendors do text well and treat images as an afterthought, or vice versa; Hive runs images, video, text and audio through the same enforcement layer, with the same tunable per-category thresholds. For a trust and safety team that currently stitches together a vision API, a profanity filter and a separate image classifier, that consolidation alone removes a stack of glue code and a class of inconsistent decisions. The second differentiator is what Hive detects beyond standard harm categories. AI Detection targets synthetic media and "AI-slop," and IP & Publicity Detection covers trademark, logo and celebrity-likeness misuse — the two categories that matter most to marketplaces and rights holders and that generic cloud vision APIs largely don't sell. The Thorn and IWF partnerships signal seriousness about child safety, a category where precision failures carry legal consequence. Where Hive asks the most of you is tuning. Prompt-based workflows and AutoML custom models let you encode policy that changes faster than a fixed class list, but custom models won't beat out-of-the-box accuracy until you calibrate them against your own labeled data, so budget an evaluation period before enforcement goes live. Video latency also rises with clip length, which makes long-form and live content the hardest case. Modality-specific caveats matter when you're building the business case. Audio moderation runs through speech-to-text, so language coverage is bounded by that engine — test your long-tail locales before assuming parity with your English results. And every image, video frame, text pass and audio transcription is a billable unit, so cost scales with content volume rather than seats; negotiate against your real monthly item count. Where it fits: social platforms, short-form video apps, marketplaces, gaming chat and any platform where moderation is the product risk. Where it doesn't: a low-volume community that would be better served by a free tier of a cloud API, a team without engineers to wire up an API, or a buyer who needs an open-source self-hosted stack for data-residency reasons.
Models under the hood
as of 2026-10-22
Limitations
- Per-call pricing can become costly at very high volume without a negotiated enterprise agreement, because every image, video frame, text pass, and audio transcription is a billable call.
- Audio moderation is limited to the languages supported by the underlying speech-to-text engine, so platforms with long-tail language coverage should test their specific locales.
- Video processing latency rises with clip length, which makes long-form or live content harder to moderate in real time.
- Custom models and prompt-based workflows reduce out-of-the-box accuracy until you tune thresholds against your own labeled data, so plan for an evaluation period before enforcement goes live.
as of 2026-10-22
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Is Hive Moderation still active?
Hive Moderation is live · custom pricing · last verified 22 Oct 2026 · viability monitor.
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: October 2026
How we score →What do users say about Hive Moderation?
What people actually say about Hive Moderation — is it worth it?
Our community sentiment research written Jul 30, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Hive Moderation— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 22 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Hive Moderation 22 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.
- — changed hidden costs, pricing fit, who should skip it, switching out, setup time, our verdict, summary, switching in, description
- — changed pricing tiers
- — changed hidden costs, summary, limitations, description, switching in, our verdict, setup time, switching out, who should skip it, use cases, pricing fit
- — changed who it suits, description, our verdict, features, who should skip it, summary
- — changed domain expiry
- — changed SSL certificate
Showing the 6 most recent of 22 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Hive Moderation cost in 2026?
Hive Moderation: Pricing is on request (custom quotes). Pricing last verified 22 Oct 2026.
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.
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.
That structure tends to suit platforms with enough monthly item volume to negotiate against a real content count, where the per-call cost of a consolidated four-modality pipeline undercuts running separate cloud vision, text, and transcription APIs side by side. Low-volume teams will usually find AWS Rekognition or Google Cloud Vision cheaper.
Has Hive Moderation's pricing changed?
No plan price for Hive Moderation has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Hive Moderation?
Pick Hive Moderation if you are High-volume social platforms and short-form video apps moderating millions of items monthly, Marketplaces needing IP, trademark, and celebrity-likeness detection alongside standard NSFW filtering, Trust and safety teams consolidating image, video, text, and audio moderation into one pipeline, Platforms fighting AI-generated spam and synthetic media at scale.
Look elsewhere if you are Early-stage startups or communities with low moderation volume, Teams that need a no-engineering CMS moderation widget, Buyers who need an open-source or fully self-hosted moderation stack, Products that only moderate one modality and don't need IP or synthetic-media detection.
Skip it if Skip Hive if you moderate a low-volume community that a general-purpose cloud vision API or an open-source filter would cover for less, or if you need a drop-in moderation widget with no engineering work.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Hive Moderation actually fits — and what changes day-one when you adopt it.
Wire the REST API into the upload pipeline so every new clip is scored for NSFW, violence, hate symbols, and AI-generated manipulation before it hits the feed, with per-category thresholds tuned so borderline content routes to human review rather than auto-removal.
Outcome: The review queue shrinks to genuinely ambiguous items, and enforcement decisions stop depending on which reviewer was on shift.
Run listing images through IP & Publicity Detection to catch trademark, logo, and celebrity-likeness misuse alongside standard NSFW screening, and use the Moderation Dashboard to track takedown volume by category.
Outcome: Counterfeit and rights-infringement listings get flagged before they sell, and you have category-level analytics to show rights holders and counsel.
Backfill a decade of archived content with batch processing, then encode a fast-changing policy in prompt-based workflows, with AutoML custom models covering niche categories your fixed class list misses.
Outcome: Historical content is brought into policy compliance without re-processing one item at a time, and new policy rules ship without waiting on a model release.
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
- Catch AI-generated spam accounts and synthetic profile photos before they post
- Flag unauthorized trademark or celebrity-likeness use in marketplace listings
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 an engineering team with an existing upload pipeline, first API calls against a sandbox app are quick; the real clock is the evaluation window — tune per-category thresholds against your own labeled data before turning on auto-enforcement. Marketplace IP detection and audio locales each add their own calibration pass.
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 AWS Rekognition: move image and video scoring onto Hive's pipeline and add text, audio, AI-detection, and IP categories that the vision API didn't cover.
- →From Google Cloud Vision: swap the vision call for Hive's image endpoint, then encode your existing policy thresholds with per-category sensitivity controls.
- →From an open-source filter stack: keep your human review process, replace the classifier layer with Hive's models, and use prompt-based workflows for policies that were hard-coded.
- →From a manual review queue: run batch processing over recent archived content to build a labeled baseline, then tune thresholds before switching on auto-enforcement.
- ↗To AWS Rekognition: for image and video NSFW only, map your category thresholds onto Rekognition labels and accept the loss of IP and AI-detection coverage.
- ↗To an open-source stack: expect to rebuild text, audio, and synthetic-media detection separately, plus your own evaluation harness.
- ↗To a CMS moderation widget: only viable if your content lives in a supported CMS and one modality covers your risk.
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
iCutechi
【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.
Official links
What are the best Hive Moderation alternatives?
The closest alternatives to Hive Moderation we list are Bodyguard.ai, Anvilogic and Vectra AI. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Bodyguard.ai | Contact Sales | Custom pricing | — |
| Anvilogic | Freemium | Pricing not published | — |
| Vectra AI | Contact Sales | Custom pricing | — |
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Bodyguard.ai
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Bodyguard.ai
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Anvilogic
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Vectra AI
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