Fakeradar - Real-time deepfake protection for video calls
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FakeRadar.io protects your sensitive data by instantly detecting whether you’re speaking with a real person or a deepfake — in real time, with just one click. Stay confident in every conversation and be sure the person on screen is truly who they claim to be.
Replies
Fakeradar
Hi Product Hunters!
I’m Artem Anikeev, founder of FakeRadar.io — a real-time deepfake detection tool for video calls.
Over the last 18 months, our team has built technology that instantly verifies whether the person on the other side of a call is real or fake.
How it works
Runs in real time during Zoom, Google Meet, Teams, Discord, and more.
No recordings, no audio access, no data stored — full privacy.
Detects deepfakes, static photos, and suspicious signals instantly.
Currently protects against 8 deepfake generators — and the number keeps growing.
Who it’s for?
Recruiters → avoid fake candidates in interviews.
Fintech & banks → verify high-risk clients.
Any team running video calls → protect against fraud.
Coming next
Voice deepfake detection & synthetic text analysis
A unified anti-fraud platform combining video, audio & text in real time
Adaptive learning system that auto-updates as new deepfake methods appear
Behavioral analytics: pauses, facial expressions, speech patterns
A global database of deepfake “fingerprints”
API for banks, governments & enterprises to provide large-scale fraud protection
We’d love your support, feedback, and ideas!
Try FakeRadar.io today and make sure every video call you make is with a real person.
Scade.pro
@artem_anikeev Interesting and relevant product. Well done, guys!
I'm off to test it out)).
Fakeradar
@maria_anosova Thank you so much for the kind words! Happy testing!
Guitar Wiz
@artem_anikeev Particularly relevant in the present context.
Fakeradar
@bijoythangaraj Thank you for your comment. It's very encouraging for all of us.
Scade.pro
@artem_anikeev Guys, you're great! This product is very relevant these days. I've encountered a couple of instances of video call spoofing myself - it's sad that this happens((
Fakeradar
@nastassia_k It is especially sad when older people suffer.
PicWish
@artem_anikeev This is super timely especially when hiring fraud and fake client scams are on the rise
Fakeradar
@mohsinproduct Yes, there's a lot of cyber fraud and it's growing. This growth needs to be stopped.
@artem_anikeev sounds like something we need!
Fakeradar
@islam_midov1 Not everyone needs this today, but I'm afraid that everyone will need it tomorrow.
Wow, really love the idea! It's getting really hard to spot deepfakes, so this tool could be a real lifesaver for someone :)
Does it work on mobile devices?
Fakeradar
@helga_impalpable Thank you for your words of support! The mobile version is currently in development. We'll make it for both Android and iOS.
Fakeradar
Scade.pro
Oh guys, thats super cool. Waiting for the API integrations to make it part of our no-code tool. Good to have so solid products on PH!
Fakeradar
@volk13 Our programmers are working almost 24 hours a day! The API will be ready soon!
@volk13 @artem_anikeev A very interesting direction for the product. I think that the API could be in demand for many services.
Fakeradar
@volk13 @michael_vavilov Yes, we'll be working on APIs for both cloud and on-premise soon. This is for financial companies where privacy is important and security requirements are high.
Fakeradar
@volk13 Thank you, Sergey!
Deepfake shield for video calls ? Yes please - testing Fakeradar right now! 🥳
Fakeradar
@adsapozhnikov That's right! If you have any questions during testing, let us know! We're here to help!
Naoma AI Demo Agent
Fakeradar
@dmitry_zakharov_ai FakeRadar only works in real-time mode, so it probably won't work :D
Naoma AI Demo Agent
Scade.pro
@dmitry_zakharov_ai 😁😁😁
Integrity
@artem_anikeev Congrats on launch 👏 Deepfakes are getting so realistic it’s honestly unsettling. Having protection right inside video calls makes a ton of sense. Excited to see how your product develops, feels like a must-have very soon.
Fakeradar
@alesia_cherniavskaia Thank you so much! Our entire team is working hard to create a highly technologically advanced and user-friendly product!
Fakeradar
@simona_o_neill3 Yes, we can already analyze up to 6 people simultaneously in a group call.
minimalist phone: reduce your screentime
When I saw that product, I was just thinking whether there was some workaround to not be detected :D How did you test it against some speculators who would like to cheat this system? :D
Fakeradar
@busmark_w_nika The neural network learns from the examples we provide it. To do this, we had to understand which deepfake generators are most commonly used by scammers and delve into each one. We now repeat this process constantly.
todai
Fakeradar
@goshatirov It will be done! You just need to wait a little.
Fakeradar
@artem_anikeev Great idea, thanks for developing it! It would further strengthen my trust in the system if it had a clear FAQ or "Reliability" section outlining edge cases, such as when the system might fail and why. Openly mentioning possible false positives or limitations would give me much more confidence.
Fakeradar
@anastasiiazhur Thank you, this is very helpful feedback. False positives are indeed possible. We'll create instructions on this!