Synthetic Media & Deepfake Detection

AI-generated images are everywhere. Most go undetected.

Anyone with a laptop can generate a photorealistic face, fake a damage photo, or forge a document in seconds. The human eye cannot tell the difference. Your team cannot scale visual verification manually.

Synthetic media detection automates what humans can no longer do: verify whether an image was captured by a camera or created by a machine. One API call. Instant forensic verdict.

AI-generated portrait flagged as synthetic by ItsReal deepfake detection
AI-generated image
Synthetic media detected
Solution

Multi-signal Detection Engine for Real-world Conditions

Identify AI-generated and manipulated images before they cause damage, across faces, documents, and scenes. Multi-signal forensics. Explainable results.

Dating profile photo analyzed for AI-generated face detection Vehicle photo before manipulation used in insurance fraud detection Original identity document before tampering detection analysis AI-manipulated dating profile photo detected as synthetic media Vehicle with digitally added scratch detected as manipulated image Forged identity document with face swap detected by forensic analysis
Frame:Detect · Analysis Live
user_upload_4821.jpg 2.4 MB
Shadow Intensity
92%
Symmetry
78%
Texture
88%
Geometry
34%
Likely AI-Generated Block / Escalate

Use cases

Any team exposed to user-submitted or third-party visual content.

E-commerce & Marketplaces

Detect AI-generated product photos, fake reviews with synthetic selfies, and manipulated condition images in second-hand marketplaces.

Claims & Reklamation

Verify damage photos submitted with insurance claims, warranty requests, and refund applications. Flag AI-inpainted or entirely synthetic evidence.

Newsrooms & Media

Screen user-generated content, wire photos, and social media sources before publication. Protect editorial integrity in an era of generative AI.

Internal Moderation

Add synthetic media detection to your platform's content moderation pipeline. Automatically flag or quarantine AI-generated uploads before they reach users.

See it in action

Drag the slider to reveal the analysis layer. Select a content type below.

AI-generated portrait SYNTHETIC FACE ANALYSIS LAYER
AI-generated image
AI-Generated 94%

Fully synthetic face generated by a diffusion model. Frequency-domain artifacts and texture inconsistencies confirm non-camera origin. No matching EXIF or C2PA provenance found.

Shadow Intensity
94%
Texture
88%
Symmetry
72%
CONFIDENCE 94%
Vehicle with digitally added damage analyzed by scene manipulation detection MANIPULATED REGION ~32% area manipulated ANALYSIS LAYER
Original scene
AI-generated image
Manipulated 91%

Manipulated image detected. Scratch and dent artifacts were digitally added to the vehicle surface. Inconsistent noise patterns and compression boundaries confirm post-capture editing.

Wavelets
89%
Reflection
84%
Borders
67%
CONFIDENCE 91%
Forged identity document with spliced face detected by document forensic analysis SPLICE BOUNDARY Face swapped ANALYSIS LAYER
Original document
AI-generated image
Manipulated 89%

Partial manipulation detected. A region covering ~18% of the document shows splice boundary artifacts inconsistent with the surrounding content. Noise patterns differ between the spliced region and the original background.

Splice boundary
91%
Shadow Intensity
45%
Typography
62%
CONFIDENCE 89%
Challenge winner · Nov 2025

Highest benchmark in the SPRIND Deepfake Detection Challenge

Over 13 months and across 12 competing teams, ItsReal.media achieved the highest overall accuracy in the SPRIND-funded Deepfake Detection Challenge, a rigorous, government-backed evaluation of synthetic media detection systems.

"The ItsReal.media system demonstrated exceptional robustness across both seen and unseen generative architectures, setting a new benchmark for real-world deployability."

— SPRIND Challenge Jury
0%
Internal validation accuracy
0%
CMB Bench accuracy
0%
Accuracy on real images
#1
SPRIND Challenge ranking

Ready to integrate?

Talk to the team about adding synthetic media detection to your content pipeline.

Get in touch View API docs →