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Content Moderator Image

wavespeed-ai /

Image Content Moderator provides automated image moderation to detect and flag policy-violating or inappropriate images for automation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.

Inactivo

$0.001por ejecución·~1000 / $1

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README

Content Moderator — Image

Ensure your images meet safety and compliance standards with WaveSpeed AI's Content Moderator. This fast, affordable moderation tool analyzes images for policy violations, inappropriate content, and safety concerns — essential for platforms, applications, and workflows that handle user-generated content.

Why It Works Well

  • Fast analysis: Quick moderation results for high-volume workflows.
  • Comprehensive detection: Identifies various types of inappropriate or unsafe content.
  • Text context support: Optionally include associated text for more accurate moderation decisions.
  • Ultra-affordable: At just $0.001 per image, scale moderation without breaking the budget.
  • Simple integration: Minimal parameters make it easy to add to any pipeline.

Parameters

ParameterRequiredDescription
imageYesImage to moderate (upload or public URL).
textNoOptional associated text for additional context in moderation.

How to Use

  1. Upload your image — drag and drop or paste a public URL.
  2. Add text context (optional) — include any associated text that should be considered.
  3. Run — click the button to analyze.
  4. Review results — check the moderation output for any flagged content.

Pricing

Flat rate per moderation request.

OutputCost
Per image$0.001

Best Use Cases

  • User-Generated Content — Screen uploads before publishing to your platform.
  • Social Media & Communities — Maintain safe spaces by filtering inappropriate images.
  • E-commerce — Ensure product listings meet marketplace content policies.
  • Content Pipelines — Add automated safety checks to media processing workflows.
  • AI Output Screening — Verify generated images comply with safety guidelines before delivery.

Pro Tips for Best Results

  • Include associated text when available — it helps provide context for more accurate moderation.
  • Use in automated pipelines for consistent, scalable content screening.
  • Combine with human review for edge cases or appeals.
  • Set up batch processing for high-volume moderation needs.
  • If using URLs, ensure they are publicly accessible for successful analysis.

Notes

  • If using a URL for the image, ensure it is publicly accessible.
  • Moderation results should be used as guidance — consider human review for borderline cases.
  • Processing is typically very fast, suitable for real-time moderation workflows.
  • The text field can provide valuable context for images with ambiguous content.
Accesibilidad:Este sitio web utiliza modelos de IA proporcionados por terceros.

Content Moderator Image API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/content-moderator/image with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Content Moderator Image below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/content-moderator/image" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "enable_sync_mode": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/content-moderator/image", {
        "image": "https://example.com/your-input.jpg",
        "enable_sync_mode": false
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/content-moderator/image",
    {
    "image": "https://example.com/your-input.jpg",
    "enable_sync_mode": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Content Moderator Image API — Frequently asked questions

What is the Content Moderator Image API?

Content Moderator Image is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Image Content Moderator provides automated image moderation to detect and flag policy-violating or inappropriate images for automation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Content Moderator Image API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/content-moderator-image.

How much does Content Moderator Image cost per run?

Content Moderator Image starts at $0.001 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Content Moderator Image accept?

Key inputs: `image`, `enable_sync_mode`, `text`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/content-moderator-image.

How long does Content Moderator Image take to generate?

Average end-to-end generation time on WaveSpeedAI is around 2 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Content Moderator Image outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.