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Manual Moderation

Human expert review for nuanced content moderation decisions

Manual moderation provides human expert review for content that requires cultural context, nuanced judgment, or complex policy decisions that AI might miss. Perfect for edge cases and high-stakes content decisions.

What is Manual Moderation?

Manual moderation is a human-in-the-loop content review system where trained moderators analyze content submissions and make informed decisions based on your platform's policies. Unlike automated moderation, manual review can understand context, cultural nuances, and complex scenarios that require human judgment.

When you submit content for manual moderation, it's added to a review queue where human moderators can examine the full context, apply policy knowledge, and make nuanced decisions. You'll receive webhook notifications when reviews are complete.

How Manual Moderation Works

Review Workflow

1

Content Submission

Your application sends content to the manual moderation API endpoint using the same schema structure as automated moderation.

2

Queue Assignment

Content is added to the manual moderation queue where trained moderators can access it for review.

3

Human Review

Moderators examine the content against your enabled categories, consider context and policies, and make informed harmful/not harmful decisions. Reviews are typically completed within 48 hours.

4

Webhook Notification

When the review is complete, you receive a webhook notification with the moderation decision and details.

When to Use Manual Moderation

Best Use Cases

  • • Borderline content requiring context analysis
  • • Cultural or linguistic nuance evaluation
  • • High-stakes decisions with policy implications
  • • Appeals and dispute resolution
  • • Content that combines multiple categories
  • • Platform-specific policy enforcement

Consider Carefully

  • • Large volumes of straightforward content
  • • Time-sensitive moderation decisions
  • • Clear-cut violations easily caught by AI
  • • Budget-constrained scenarios
  • • Simple binary policy rules

Configuration

Manual moderation requires a subscription and webhook configuration to receive notifications when moderation decisions are complete. You can manage these settings through the Console.

Configuration Steps

  1. 1
    Subscribe to Manual Moderation

    Enable manual moderation for your project through the Console billing section

  2. 2
    Configure Webhook URL

    Set your endpoint URL to receive moderation decision notifications

  3. 3
    Test Webhook

    Use the test webhook feature to verify your endpoint receives notifications correctly

  4. 4
    Start Submitting Content

    Use the manual moderation API endpoint to submit content for human review

Webhook Notifications

When manual moderation is complete, you'll receive a webhook notification with the moderation decision. This allows your application to react to moderation results asynchronously. The webhook payload includes the final decision, moderator notes, and detailed component-level results.

Webhooks are essential for manual moderation since review times can vary from minutes to hours depending on content complexity and queue volume. Your application should be prepared to handle these asynchronous notifications.

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Webhook Security

Webhooks include signature headers for verification and should be configured with secrets for payload validation. Always verify webhook authenticity and use HTTPS endpoints for secure transmission.

Combining with Automated Moderation

Many platforms use a hybrid approach, combining automated and manual moderation for optimal results. This provides both speed and accuracy while managing costs effectively.

🤖AI First

Use automated moderation for initial screening to catch obvious violations quickly and cost-effectively.

Handle 80-90% of content automatically

⚖️Human Review

Route borderline cases, appeals, and nuanced content to manual moderation for expert review.

Focus on complex 10-20% of cases

Best Results

Achieve high accuracy with reasonable costs by leveraging the strengths of both approaches.

Optimal balance of speed, cost, and quality

Best Practices

Submission Guidelines

  • • Provide sufficient context in your content
  • • Use descriptive schema component names
  • • Include relevant metadata when possible
  • • Batch similar content types together

Webhook Handling

  • • Implement idempotent webhook processing
  • • Store submission IDs to track status
  • • Handle webhook delivery delays gracefully
  • • Verify webhook signatures for security

Cost Optimization

  • • Use automated moderation for initial filtering
  • • Reserve manual review for complex cases
  • • Monitor moderation patterns and adjust
  • • Consider batch processing for efficiency

Quality Assurance

  • • Review moderation decisions periodically
  • • Provide feedback on decision quality
  • • Update policies based on edge cases
  • • Monitor response times and patterns

Subscription & Pricing

Manual moderation requires a subscription and is priced per reviewed submission. This reflects the human expertise and time involved in thorough content analysis. See our pricing plans for detailed cost information.

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Pricing Considerations

  • • Per-submission pricing based on content complexity
  • • Volume discounts available for large-scale usage
  • • No charges for submissions that remain in queue
  • • Transparent billing with detailed usage reports

Ready to Get Started?

Set up manual moderation for your project and start leveraging human expertise for nuanced content decisions.

Related Documentation