Content moderation software comes in three kinds
Most "best of" lists mix tools that do very different jobs, which is why shortlists go wrong. A trust and safety lead comparing Hive with a review dashboard is comparing an engine with a car. Sort the market first.
Detection APIs take an image, a message or a video and return scores for categories such as nudity, violence, hate or spam. They are fast, cheap per item and accurate on the classic categories. They do not decide anything about your policy, and they do not give anyone a screen to review what they flag.
Review platforms sit on top of detection. Items above your thresholds land in a queue, a reviewer sees the content with the user's history, applies a policy, and the action goes back to your app. Appeals, user reports, QA sampling and an audit log live here too. This is the layer that teams usually end up building themselves in an admin panel, and then rebuilding a year later.
Managed moderation is a review platform plus the people who work it: moderators trained on your policy, scheduled on the hours your users are online, with a QA process and a report you can show an app store reviewer. You buy outcomes, not seats.
If you already employ reviewers, the second group is your shortlist. If nobody on staff has time to look at flagged items every day, including weekends, it is the third.
Content moderation software compared
Prices below are from each vendor's public pricing page, checked in October 2026. They change, so confirm before you sign. "Quoted" means the vendor does not publish a production price.
| Tool | Kind | Published pricing | Human review queue | Best for |
|---|---|---|---|---|
| Hive | detection API plus dashboard | pay as you go $0.50 per 1,000 text requests, $3 per 1,000 image requests; enterprise quoted | dashboard on enterprise, staffed by you | high volume detection across many models |
| Sightengine | detection API | $29 a month for 10,000 operations, $99 for 40,000, then $0.002 each | no | developers who want self serve and clear pricing |
| Stream | moderation for its chat and feeds products | pay as you go $2 per 1,000 messages, $4 per 1,000 images; enterprise quoted | dashboard with 3 moderator seats on pay as you go | apps already built on Stream chat |
| WebPurify | profanity filter, image API and human review | per item; live photo review listed around 2 cents an image | their moderators, item by item | small or bursty image review |
| Checkstep | review platform with compliance reporting | quoted | yes, staffed by you | teams led by Digital Services Act and Online Safety Act duties |
| Moderators Platform | review platform with AI scoring | $199, $599 or $1,499 a month; half that billed yearly | yes, 3 to 50 reviewer seats | in house teams that need a queue, appeals and an audit log |
| Moderators managed | review platform plus trained moderators | monthly retainer, estimated in the plan builder | our moderators by shift and language | platforms without a staffed review team |
Detection APIs, when scores are enough
Hive and Sightengine are the two names US engineering teams reach for first. Hive covers a very wide set of models and is built for volume; its public pay as you go rates are $0.50 per 1,000 text requests and $3 per 1,000 image requests, with production contracts quoted. Sightengine is the easiest to start with: a free plan for testing, then $29 or $99 a month and $0.002 per extra operation. Our Sightengine alternative page runs the cost at 100,000 and 1,000,000 checks, and the Hive moderation alternatives comparison covers the rest of that group.
An API is enough when your volume is small, your policy matches the standard categories, and someone on the team can clear the flagged items in a few minutes a day. It stops being enough when that someone is clearing them at midnight, or when a user appeals and nobody can say who made the original call.
One more case worth calling out: AI chat products. Scoring what users and the model say is moderation. Stopping the model from being talked into leaking data or calling tools it should not is a separate problem, and it belongs in AI agent security software that sits in front of the model, not in your moderation queue.
Review platforms, when you have reviewers
A review platform is the right buy when you already pay people to moderate, whether that is two support agents or a team of twenty. What you are paying for is the workflow around them. Look for a queue that shows the item with the user's history, policy shortcuts so reviewers apply the same rule the same way, a second reviewer on appeals, QA sampling, and a log that records who did what and why.
Stream is a sensible pick if your chat already runs on Stream, since moderation is wired into the same product. Checkstep leans into regulatory reporting for teams with European exposure. Our moderation software is built for US platforms with mixed content: images, video, profiles, listings and chat in one queue, AI scoring included in the plan, and no per item charge on top. Starter is $199 a month with 3 reviewer seats and 100,000 AI scored items. Growth is $599 with 15 seats, a million items, appeals and QA sampling. Scale is $1,499 with 50 seats, SSO and a three year audit log. Billed yearly, each costs half.
Flat pricing matters more than it looks. Per request bills move with every marketing push and every bot wave, and finance teams hate surprises. A plan that holds still while uploads double is easier to defend in a budget meeting.
Managed moderation, when nobody has time to review
The most common pattern we see at growing US apps: the detection API works, the flagged queue grows, and the people clearing it are product managers and support agents doing it on top of their real jobs. Response times slip on weekends. A scam ring slips through on a holiday. An app store reviewer asks for your moderation process and the honest answer is a spreadsheet.
That is the point where software alone stops solving the problem. A managed service supplies moderators trained on your policy, scheduled for your traffic, with escalation to your on call staff by name and a weekly report on volumes, response times, appeals and QA scores. Our outsourced content moderation runs on the same platform, with Platform Scale included in the retainer, so you keep full visibility of every decision.
The plan builder at the top of this page turns five inputs, your platform type, content types, daily volume, languages and hours, into a team per shift and a monthly estimate. For the full math on per hour, per item and retainer pricing, see our content moderation outsourcing cost breakdown.
How to choose content moderation software
- List your content types. Images only is an API problem. Images, chat, profiles, listings and reports together is a platform problem.
- Count the human decisions. Take daily items times the share your thresholds will flag. If it is more than an hour of work a day, plan for a queue and people.
- Price it at double your volume. Run each vendor's numbers at today's volume and at twice that. Per item pricing that looks cheap today often is not after your next launch.
- Ask for the audit trail. App stores, payment processors and enterprise buyers ask how decisions are made. Make sure you can export who decided, when and under which rule.
- Test on real traffic. Run a shadow week on your own content before you sign anything. Demo data always looks clean.
Questions buyers ask
What is the best content moderation software?
There is no single best tool. Developer APIs such as Hive and Sightengine are best for cheap, accurate detection. Stream suits apps already on its chat stack. Platforms that need people to review flagged items are better served by software with a review queue, appeals and an audit log, or by a managed service that supplies the moderators.
How much does content moderation software cost?
Detection APIs charge per request, from about $0.50 per 1,000 text checks to $3 or $4 per 1,000 images on public price lists. Review platforms are usually flat monthly plans; ours are $199, $599 and $1,499 a month, or half that billed yearly. Managed moderation with people is a monthly retainer, and our pricing page lists every plan.
Can AI replace human content moderators?
Not for a commercial platform. AI clears the bulk of obvious items, often most of the volume, but grey areas, user reports, appeals and scams spread across several messages still need a trained person. App stores and payment processors also expect a record of who decided. Our AI content moderation page shows how we split the work.
What should I look for in content moderation software?
Check five things: which content types it scores, whether it has a queue for human review, how appeals and user reports are handled, how long the audit log is kept, and how the price behaves when volume doubles. Then run it on a week of your real traffic before signing.