What is Fake Image Detector?
The Fake Image Detector empowers you to identify altered images through cutting-edge methods, such as Metadata Analysis and ELA Analysis, securing your visual integrity!
Key Features:
- Metadata Analysis: The tool efficiently analyzes a provided image's metadata, including EXIF data, for inconsistencies, helping detect manipulations.
- Error Level Analysis: This crucial feature examines an image's pixels for abnormalities, making it an effective way to recognize tampered or edited areas.
- Real-time Scan: The user experience is enhanced through a real-time scanning process that provides immediate results, allowing for quick and easy image authentication.
Use Cases:
- Journalism: Media professionals can ensure the authenticity of images used in news articles, maintaining the integrity of information.
- Online Marketplaces: Buyers can verify the authenticity of product images posted by sellers, reducing the risk of scams and false advertising.
- Social Media: In the realm of social media, users can verify the authenticity of images they encounter, promoting truthfulness and preventing the spread of misinformation.
Conclusion:
The Fake Image Detector emerges as a powerful and user-friendly tool that empowers individuals to confidently verify the authenticity of images. Its advanced features, including Metadata Analysis and Error Level Analysis, combined with the convenience of real-time scanning, make it an indispensable tool in the age of digital content.
More information on Fake Image Detector
Launched
2021-03
Pricing Model
Free
Starting Price
Global Rank
301588
Follow
Month Visit
101K
Tech used
Bootstrap,Google AdSense,Google Analytics,Google Font API,Google Tag Manager,jQuery
Top 5 Countries
19.38%
9.46%
5.91%
5.48%
4.8%
United States
India
France
Vietnam
United Kingdom
Traffic Sources
3.35%
0.83%
0.09%
7.97%
55.37%
32.36%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 24, 2025)
Fake Image Detector was manually vetted by our editorial team and was first featured on 2023-08-31.
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