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Image Content Moderator: AI Tool

Detect unsafe or policy-violating content in any image. Supply an image URL (and optional context text) and receive structured flags for adult, violent, hateful, or otherwise restricted content — ideal for pre-screening user uploads before they reach generation pipelines.

Interactive model controls

Detect unsafe or policy-violating content in any image. Supply an image URL (and optional context text) and receive structured flags for adult, violent, hateful, or otherwise restricted content — ideal for pre-screening user uploads before they reach generation pipelines.

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Overview

About this model

Detect unsafe or policy-violating content in any image. Pass an image URL (and optional context text) and get back boolean flags plus a structured list of categories that were tripped — ideal as a pre-screen on user uploads or AI-generated frames before they enter your downstream pipeline.

1User uploads: Reject obviously unsafe images at the API boundary before storing or processing them.
2Generation pipelines: Post-check generated frames and re-roll or block before delivery.
3Compliance: Maintain an auditable safety log for every image touching your product.
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Pricing & Value

Cost analysis

muapiapp$0.01 per image

Flat fee per moderation call. No volume tiers.

Fal.aiNot available

No equivalent first-party image-moderation model.

ReplicateNot available

No equivalent first-party image-moderation model.

** Competitor pricing is estimated based on similar model architectures and usage tiers.

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Technical Details

Configuration schema

Image URLstring

Image URL to moderate. Public URLs and standard image formats are supported.

Default Valuehttps://d3adwkbyhxyrtq.cloudfront.net/ai-images/sample.jpg
Context Textstring

Optional context or custom moderation criteria. Use this to bias the moderator with extra context.

Default Value
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Implementation Guide

Developer documentation

How to Use Image Moderation

  1. Submit the image: POST image_url (a publicly accessible URL) and an optional text to bias the moderator with extra context (for example: "flag anything with weapons").

  2. Poll the result: Call /api/v1/predictions/{request_id}/result until status is completed. Or set a webhook query param to receive the verdict asynchronously.

  3. Act on the verdict: The output.flagged boolean is your gate. output.categories lists which categories were tripped, and output.has_nsfw_contents mirrors the provider's per-output NSFW booleans.

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Common Questions

Frequently asked

What image formats are supported?

Any standard web image format reachable by URL — JPEG, PNG, WebP, GIF.

What does `text` do?

It's an optional context hint for the moderator. Use it to bias the model with custom criteria, for example: "flag content involving children".

How fast is it?

Typically completes in a couple of seconds per image.