Censorfy

What Censorfy is

Censorfy is a content-moderation platform that lets developers and businesses screen text and images through an interface call. It is API-first moderation rather than a dashboard product, which means it is designed to sit inside a workflow you already own.

What it does

You send content in a request and get a real-time decision with custom rules and categories. The loop is submit, classify, act.

The customisation is the substance of the offer. You define what counts as unsafe for your context, which matters because the same word is acceptable in a medical forum, ambiguous in a gaming chat and unacceptable in a children's product. Configurable categories let a forum, a chat and a comments section share one service tuned to their own rules, so a team adapts the filter instead of rebuilding it.

Because it is interface-first, the same call can score text and image separately or together, and teams typically wire it ahead of publication so flagged items route to a review queue. That keeps moderation in the flow rather than as a later audit. Webhooks and workflows are described as upcoming rather than available, which is worth noting since it means the current integration work sits with you.

Pricing and plan limits were not fully confirmed, so the cost per call or seat needs checking.

Who it is for

It is aimed at developers and trust-and-safety teams building content filters into their own products. Teams with engineering capacity benefit most, because there is no turnkey interface to fall back on.

What to keep in mind

The caution is identical to every automated moderator: a model over-blocks and under-blocks, and both cost you. Keep a human review path for edge cases rather than acting automatically on every decision, watch for bias in the custom rules you write, since your own definitions can encode assumptions you did not intend, and build an appeal route for users whose content was removed.

Content you submit is processed by the service, so review the data and retention terms, particularly for user-generated content that may contain personal data. Where a flagged item is retained for review, that retention is your data too, and a user asking why their message was removed is entitled to an answer that reflects what was actually stored.

Confirm the interface limits before building: rate limits, maximum payload size and latency under load determine whether the call can sit in front of live user input, and those figures matter more than accuracy claims for an interactive product.

Since webhooks are described as upcoming, plan your own queue-and-retry path if you need automated action now. It is also worth deciding what happens to a flagged item when nobody is available to review it, because an unscanned queue is an unpublished backlog rather than a moderation decision.