How do I handle contributor disputes when an image is flagged?

DeepSight provides detailed forensic reports with confidence scores and signal breakdowns. These reports give editors objective evidence to discuss with contributors, moving the conversation from subjective suspicion to documented analysis.

Can I audit our existing image library?

Yes. Our batch processing API allows you to submit your existing image library for analysis. Results are returned with confidence scores and generator identification for each image, enabling you to prioritize review of high-confidence detections.

Does DeepSight detect AI-modified photographs?

Yes. In addition to fully AI-generated images, DeepSight detects significant AI modifications including inpainting, outpainting, face swapping, and generative fill. The confidence score reflects the extent of synthetic manipulation detected.

deepsight

For Publishers

Publish with certainty, not assumption

AI-generated images are infiltrating stock libraries, contributor submissions, and editorial pipelines. DeepSight gives publishers the forensic tools to verify every image before it reaches your audience — protecting your editorial standards and reader trust.

Verify an image

15%

Estimated AI content in major stock libraries

<3s

Per-image verification time

30+

AI generators identified

The Challenge

What publishers are up against

Stock photo fraud

Contributors are uploading AI-generated images to stock platforms and licensing them as genuine photographs. Publishers who use these images unknowingly risk legal liability, reader backlash, and factual inaccuracies in visual storytelling.

Contributor verification

Freelance photographers and illustrators may submit AI-generated or AI-augmented work as original. Without detection tools, editors cannot distinguish between genuine and synthetic contributions.

Editorial standards at risk

Publishing AI-generated imagery without disclosure violates the editorial standards that readers expect. The discovery of unlabeled synthetic content in published work triggers corrections, retractions, and trust damage.

Licensing and rights ambiguity

The copyright status of AI-generated images remains legally contested. Publishers who unknowingly use synthetic images may face unexpected licensing disputes and intellectual property challenges.

The Solution

How DeepSight helps

Pre-publication verification

Integrate DeepSight into your editorial workflow. Verify every image before it enters your CMS, catching AI-generated content before it reaches your audience.

Contributor submission screening

Screen freelance and contributor submissions automatically. Flag suspicious images with confidence scores and generator identification, giving editors objective data for acceptance decisions.

Stock photo auditing

Audit stock photo purchases and library content. Identify AI-generated images in your existing asset library and flag them for review, replacement, or disclosure.

Editorial documentation

Generate verification reports for your editorial records. Document the authenticity of published images with forensic evidence, supporting your editorial standards and reader trust commitments.

Your Workflow

How it works

Receive contributor submissions or select stock images

Run each image through DeepSight before publication

Review flagged images and make editorial decisions based on forensic reports

Maintain verification records as part of your editorial documentation

Common Questions

Frequently asked

Yes. Our REST API integrates with any CMS that supports custom workflows or webhooks. Most teams add a verification step during the image upload or editorial review stage. We provide integration guides for WordPress, Contentful, and other popular platforms.

See it in action

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

Verify an image