Deep Fake Image
Cyber Security

Deep Fake Image

Upload an image and automatically analyze it for authenticity and deepfake manipulation. This workflow performs pixel-level forensic analysis, frequency domain checks, metadata inspection, and generative AI artifact detection.

Advanced neural networks generate a standardized risk report with confidence scoring, manipulation heatmaps, and a synthetic media likelihood assessment to protect against visual misinformation and fraud.

4.7Rating

Overview

Upload images to detect AI-generated content, deepfakes, and digital manipulations using advanced computer vision and forensic analysis.

Upload an image and automatically analyze it for authenticity and deepfake manipulation. This workflow performs pixel-level forensic analysis, frequency domain checks, metadata inspection, and generative AI artifact detection. Advanced neural networks generate a standardized risk report with confidence scoring, manipulation heatmaps, and a synthetic media likelihood assessment to protect against visual misinformation and fraud.

Ideal for

  • Verifying user identity photos for KYC and onboarding processes
  • Authenticating digital evidence for legal, insurance, or compliance claims
  • Filtering out AI-generated content or deepfakes in media and news publishing
  • Auditing social media profiles for synthetic or stolen identities
  • Enhancing enterprise fraud prevention against manipulated documentation

Key capabilities

Generative AI Detection

Identifies signatures and artifacts left by popular AI image generators like Midjourney, DALL-E, and Stable Diffusion.

Pixel & Forensic Analysis

Performs Error Level Analysis (ELA) and noise-pattern checks to detect splicing, cloning, and digital brushing.

Metadata & EXIF Inspection

Extracts and analyzes hidden image data for inconsistencies, stripped histories, or software modification tags.

Manipulation Heatmaps

Generates a visual overlay showing exactly which parts of the image have the highest probability of manipulation.

Benefits

  • Reduces vulnerability to identity theft and sophisticated synthetic fraud
  • Provides actionable visual proof (heatmaps) rather than just a pass/fail score
  • Automates the forensic process, saving hours of manual image inspection
  • Increases trust and safety across platforms relying on user-submitted media
  • Keeps pace with rapidly evolving generative AI capabilities

How it works

1

Upload Image

Submit the suspected image. Higher resolution images generally yield more accurate forensic results.

Tip: Avoid compressing the image before upload if possible, as compression can hide manipulation artifacts.
Est. Time: 1 min
2

Forensic & Artifact Scanning

Our AI scans the image at the pixel level, searching for inconsistencies in noise, lighting, and compression levels.

  • Error Level Analysis (ELA)
  • Frequency Domain Checking
  • Vision Transformers (ViT)
Est. Time: 10-15 seconds
3

Metadata Integrity Check

The system cross-references the file's EXIF data and structural metadata to identify traces of editing software or AI generation.

  • EXIF extraction
  • Software signature matching
  • Date/Time anomaly detection
Est. Time: 5 seconds
4

Review Authenticity Report

Receive a comprehensive report detailing the deepfake probability score, manipulation heatmaps, and a final verdict.

  • Web dashboard view
  • Downloadable PDF
  • API JSON output
Est. Time: Instant

Expected outputs

Image Authenticity & Deepfake Report

Format: PDF/HTML/JSON

A detailed breakdown of the image's validity, including an overall synthetic media score and visual heatmaps.

What's Inside:

Overall Authenticity ScoreAI Generation LikelihoodManipulation HeatmapsMetadata/EXIF Analysis

Features

Downloadable
Visual Overlays
Secure and Private

Security

Encryption

AES-256

Customization

Analysis Depth

Select the thoroughness of the forensic scan

Standard (Fast, broad detection)Deep Scan (Includes intense pixel-level routing)

Technical details

AI Models

Vision Transformer (ViT) Ensemble, Generative Artifact Detection CNN, Forensic Noise Analysis Engine

Processing Capacity

  • maxDocumentSize: 5MB
  • maxTotalSize: 5MB
  • concurrentJobs: 30
  • averageProcessingTime: 15-20 seconds

Data Retention

  • resultStorage: 30 days (if user opts in)
  • documentStorage: Encrypted (AES-256), deleted immediately after processing
  • exportAvailability: Unlimited

Versioning

  • Version: 1.1.0
  • Last update: 2025-05-26

Support

Email: support@datacove.ai

Documentation: View docs

API Reference: View reference

Frequently Asked Questions

Which image generators can it detect?

Signatures from generators like Midjourney, DALL-E, and Stable Diffusion.

What do I get in the report?

A manipulation heatmap showing exactly which part of the image was likely altered.