FakeRadar.app VS GitHub
Compare FakeRadar.app VS GitHub and see what are their differences
AI agents that spec, build, test, and ship code โ with voice chat, deep GitHub integration, and zero LLM markup.
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FakeRadar.app
AI or Not
Illuminarty AI
Sightengine
Bushe AI Image Detector
WasItAI
AIImageChecker.net
Deepfake Detector
GitHub
GitLab
BitBucket
VS Code
Git
Treehouse
Pantheon
CodePen
FakeRadar tells you whether an image or video is AI-generated โ and shows you why.
Most detectors return a single unexplained percentage. FakeRadar shows the evidence behind every result:
Results as signals, not verdicts. No detector is 100% accurate โ 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 โ not affiliated with fakeradar.io.
FakeRadar.app GitHubNo FakeRadar.app videos yet. You could help us improve this page by suggesting one.
FakeRadar.app's answer
Journalists, fact-checkers and OSINT researchers verifying images and videos before publication โ plus everyday users checking suspicious photos: dating profiles, marketplace "proof" pictures, viral social media images and video call screenshots.
FakeRadar.app's answer
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 โ signals, not verdicts.
FakeRadar.app's answer
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 โ 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 โ and we say so openly.
FakeRadar.app's answer
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 โ 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 โ FakeRadar is built for people who need to understand and trust the result.
FakeRadar.app's answer
Astro, TypeScript, Cloudflare Workers, Cloudflare D1, Cloudflare R2, FastAPI (Python), Paddle, Resend
Based on our record, GitHub seems to be more popular. It has been mentiond 2473 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 7 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 8 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 8 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 18 days ago
The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 19 days ago
AI or Not - Detect AI generated images, audio & KYC documents for free.
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Illuminarty AI - Is an AI behind your image?
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Sightengine - Effortless moderation of user-submitted photos. Instantly detect nudity and adult content with our easy-to-use API, for a fraction of the cost of human moderation
VS Code - Build and debug modern web and cloud applications, by Microsoft