How do I integrate with our existing moderation tools?

DeepSight provides a standard REST API with JSON responses. Most teams integrate via a middleware layer that routes images through DeepSight before or alongside their existing moderation stack. We provide integration guides for common platforms.

What about false positives on artistic or stylized content?

Our multi-signal approach significantly reduces false positives compared to single-model detectors. The confidence score allows you to set thresholds appropriate for your platform — higher thresholds mean fewer false positives at the cost of some missed detections.

Does DeepSight support content labeling requirements under the EU AI Act?

Yes. DeepSight can be used as part of a compliance pipeline for AI content labeling. Our detection results include the metadata needed for regulatory documentation, including confidence scores, detection methodology, and timestamp.

deepsight

For Content Moderators

Moderate AI-generated content before it goes viral

Platforms are being flooded with synthetic imagery — from deepfakes to AI-generated spam. DeepSight gives content moderation teams an API-driven detection pipeline that scales with your volume while keeping false positive rates manageable.

Explore the API

3B+

AI images generated per month globally

<3s

Per-image analysis time via API

~$0.006

Average cost per analysis

The Challenge

What content moderators are up against

Overwhelming volume

Millions of images are uploaded to platforms daily. Manual review of every image for AI generation is impossible, and existing automated tools produce too many false positives to be useful at scale.

False positive fatigue

When moderation tools cry wolf too often, teams stop trusting them. High false positive rates lead to alert fatigue, wasted reviewer time, and legitimate content being incorrectly removed.

Platform trust erosion

Users lose trust in platforms where AI-generated content is pervasive and unlabeled. Failing to detect and label synthetic content degrades the user experience and invites regulatory scrutiny.

Evolving regulatory requirements

The EU AI Act, DSA, and emerging regulations increasingly require platforms to detect and label AI-generated content. Non-compliance carries significant fines and reputational damage.

The Solution

How DeepSight helps

API-first architecture

DeepSight is built for programmatic access. Our REST API integrates into your existing moderation pipeline with JSON responses, webhook callbacks, and configurable confidence thresholds.

Configurable confidence thresholds

Set your own threshold for auto-action vs. human review. High-confidence detections can be auto-labeled or removed, while borderline cases are routed to human reviewers with forensic context.

Batch processing at scale

Submit hundreds or thousands of images per batch via the API. Async processing with webhook notifications means your pipeline never blocks waiting for results.

Forensic context for reviewers

When an image is flagged, reviewers receive a forensic breakdown including confidence score, generator identification, and signal analysis — not just a binary flag. This context improves review accuracy and speed.

Your Workflow

How it works

Integrate DeepSight API into your content ingestion pipeline

Configure confidence thresholds for auto-action and human review queues

Process uploaded images in real-time or batch mode

Route flagged content to human reviewers with forensic reports attached

Common Questions

Frequently asked

Enterprise plans support high-throughput concurrent processing. Rate limits are configurable based on your volume needs. Contact our sales team for SLA-backed throughput guarantees.

See it in action

Upload an image and watch the multi-signal cascade work — metadata, forensics, and semantic analysis in real time.

Explore the API