CoSupport AI
What is Fake Image Detector?
Fake Image Detector offers a solution for identifying altered or manipulated digital images. It employs sophisticated methods, including Metadata Analysis and Error Level Analysis (ELA), to scrutinize image files for signs of tampering.
Users can upload JPG images (up to 5MB) directly to the platform for scanning. The tool analyzes the uploaded image, examining its metadata and error levels to detect potential manipulations, providing users with insights into the image's authenticity. Uploaded images are automatically removed from the server periodically for user privacy.
Features
- Metadata Analysis: Examines image metadata for inconsistencies or signs of manipulation.
- ELA Analysis (Error Level Analysis): Identifies differences in compression levels across the image, highlighting potentially altered areas.
- Image Upload: Supports JPG image uploads directly from user devices.
- File Size Limit: Accepts images up to 5MB.
- Automatic Deletion: Uploaded images are automatically removed from the server hourly.
Use Cases
- Verifying the authenticity of digital images.
- Detecting manipulated or photoshopped images.
- Analyzing images for digital forensics purposes.
- Checking images shared online for signs of alteration.
Related Queries
Helpful for people in the following professions
Fake Image Detector Uptime Monitor
Average Uptime
100%
Average Response Time
146.1 ms
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