Face Research & Forensics Lab
Analyze digital portraits, detect manipulation (ELA), check searchability, and prepare assets for reverse image investigation.
Based on dimensions, contrast & clarity.
Use the analyzed image above. Save it, then use these services for investigation.
Understanding Face Research & Forensics
In the field of Open Source Intelligence (OSINT) and digital forensics, analyzing a facial image is the first critical step before attempting identification. This Face Research Lab is designed to dissect digital portraits, revealing data hidden in the pixels that can aid in verification or reverse image searching.
1. Error Level Analysis (ELA)
One of the key features of this tool is the Error Level Analysis simulator. Digital images, particularly JPEGs, lose quality every time they are saved. If a face has been pasted onto a different background, the compression artifacts of the face will often differ from the background. By clicking "Toggle ELA View", this tool highlights these discrepancies. Areas of the image that have been manipulated may glow brighter or show different noise patterns compared to the rest of the image.
2. Searchability Scoring
Not all images are suitable for facial recognition engines like PimEyes or Google Lens. Low resolution, poor contrast, or motion blur can render a search useless. Our Searchability Score analyzes the mathematical sharpness (using edge detection algorithms) and contrast distribution of your upload.
- High Score (80-100): Ideal for biometric search engines.
- Medium Score (50-79): May require contrast adjustment or sharpening.
- Low Score (0-49): Unlikely to yield results. Try finding a better source.
3. Histogram & Metadata
The RGB Histogram visualizes the exposure balance of the image. A well-exposed face for research should have a balanced distribution without "clipping" (touching the far left or right edges). Additionally, this tool extracts dimensions and calculates the aspect ratio, helping you determine if the image was cropped from a standard social media format (e.g., 4:5 for Instagram, 16:9 for Video).