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FakeRadar.app

Upload an image or video and find out if it was AI-generated or manipulated. Multi-engine analysis with ELA, FFT, C2PA and deepfake detection. Free to start.

FakeRadar tells you whether an image or video is AI-generated — and shows you why.

Most detectors return a single unexplained percentage. FakeRadar shows the evidence behind every result:

Multi-engine ensemble detection — multiple detection models cross-checked; no single engine gets the final word
Per-face face-swap analysis — every face in the photo is located and scored separately, so a single swapped face stands out even in a group shot
Forensic tools (Pro) — ELA heatmaps, FFT spectrum analysis, C2PA Content Credentials verification and EXIF metadata inspection
Video analysis (Pro) — scene-based frame extraction for clips up to 3 minutes / 50 MB
Shareable reports — send results as a link, or export to PDF on Pro

Results as signals, not verdicts. No detector is 100% accurate — FakeRadar says so openly and presents confidence levels you can interpret, instead of a false sense of certainty. That honesty is why journalists, fact-checkers and OSINT researchers use it before publication.

Privacy-first. Uploaded files are deleted after analysis, never used for model training, and never shared with third parties.

Pricing: Free tier with no account required for your first scan; registered free users get 3 analyses per day. Pro is $9/month or $89/year (2 months free).

Lives at fakeradar.app — not affiliated with fakeradar.io.

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Pricing:

Freemium
$9.0 / Monthly (Pro — annual $89 (2 months free))
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FakeRadar.app Reviews and Details

This page is designed to help you find out whether FakeRadar.app is good and if it is the right choice for you.

#AI Detection #Image Analysis #Security #Fraud Detection And Prevention #AI

Screenshots and images

Hero //
2026-06-12

Features & Specs

AI-Powered Detection

FakeRadar.app leverages artificial intelligence to analyze and detect fake or manipulated images and content, providing users with a modern, automated approach to identifying misinformation.
Easy to Use

The app offers a simple, user-friendly interface where users can quickly upload or submit content for analysis without needing technical expertise in digital forensics.
Accessible Web-Based Tool

Being a web application, FakeRadar.app is accessible from any device with a browser, requiring no software installation or downloads to get started.
Helps Combat Misinformation

The tool serves an important societal purpose by empowering everyday users to verify the authenticity of content they encounter online, helping to reduce the spread of fake news and manipulated media.
Quick Results

The app provides relatively fast analysis and results, allowing users to verify content in a timely manner without lengthy waiting periods.

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Questions & Answers

As answered by people managing FakeRadar.app.

How would you describe the primary audience of FakeRadar.app?

Journalists, fact-checkers and OSINT researchers verifying images and videos before publication — plus everyday users checking suspicious photos: dating profiles, marketplace "proof" pictures, viral social media images and video call screenshots.
What's the story behind FakeRadar.app?

Built by a solo indie maker in Istanbul in 2026, after watching "is this real?" become the default question under every viral image. The frustration: existing detectors gave a percentage with zero explanation. FakeRadar was built on the principle that detection results should be evidence you can inspect — signals, not verdicts.
What makes FakeRadar.app unique?

Most AI detectors return a single unexplained percentage. FakeRadar shows you the evidence: it runs a multi-engine ensemble (no single model gets the final word), locates every face in an image and scores each one separately for face swaps, and on Pro provides forensic tools — ELA heatmaps, FFT spectrum analysis, C2PA Content Credentials verification and EXIF inspection. Results are framed as signals, not verdicts, because no detector is 100% accurate — and we say so openly.
Why should a person choose FakeRadar.app over its competitors?

Three reasons: per-face face-swap detection (whole-image detectors often miss swaps because most of the photo is real), explained results instead of a bare score, and privacy — files are deleted after analysis and never used for training. There's also a genuinely free tier: your first scan needs no account at all. For audio detection or enterprise-scale APIs, competitors like Hive or Sightengine may fit better — FakeRadar is built for people who need to understand and trust the result.
Which are the primary technologies used for building FakeRadar.app?

Astro, TypeScript, Cloudflare Workers, Cloudflare D1, Cloudflare R2, FastAPI (Python), Paddle, Resend

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Is FakeRadar.app good?

FakeRadar.app appears to be a useful tool for detecting fake or fraudulent content, though as with any such service, results should be treated as guidance rather than absolute proof. Its value depends on accuracy, transparency, and how well it fits your specific verification needs.

Why choose FakeRadar.app?

It aims to help users quickly identify potentially fake, misleading, or fraudulent content, saving time on manual verification
Automated detection tools can flag suspicious patterns that might be missed by casual review
A dedicated app or web service can be more convenient than piecing together multiple manual checks
May offer accessible, user-friendly interfaces for people without technical expertise

Recommended for

Individuals who want a quick first-pass check on suspicious content or listings
Journalists and researchers verifying sources or claims
Consumers trying to avoid scams, fake reviews, or fraudulent offers
Small businesses monitoring for impersonation or counterfeit activity
Anyone who wants an additional layer of verification while still applying their own judgment

External links

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Public traffic stats of FakeRadar.app

Check the traffic stats of FakeRadar.app on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Domain Rating (DR)

Check the "Domain Rating" of FakeRadar.app on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of FakeRadar.app's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Domain Authority (DA)

Check the "Domain Authority" of FakeRadar.app on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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Is FakeRadar.app good? This is an informative page that will help you find out. Moreover, you can review and discuss FakeRadar.app here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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