Mokshith
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AudioGuard
Detect AI-generated voices in any audio file — instantly
AudioGuard detects deepfake and AI-cloned voices in any audio file in under 2 seconds. Upload WAV, MP3, FLAC, OGG or M4A and get a Real or Fake verdict with confidence score, waveform, and mel spectrogram analysis. Built on CNN + BiLSTM + AudioLM-style self-attention — 95.8% accuracy on the Fake-or-Real benchmark dataset. Built for journalists, podcasters, and content moderators. Free: 3 checks/day. Pro: ₹299/mo unlimited.
About AudioGuard on Product Hunt
“Detect AI-generated voices in any audio file — instantly”
AudioGuard was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #669 on the daily leaderboard. AudioGuard detects deepfake and AI-cloned voices in any audio file in under 2 seconds. Upload WAV, MP3, FLAC, OGG or M4A and get a Real or Fake verdict with confidence score, waveform, and mel spectrogram analysis. Built on CNN + BiLSTM + AudioLM-style self-attention — 95.8% accuracy on the Fake-or-Real benchmark dataset. Built for journalists, podcasters, and content moderators. Free: 3 checks/day. Pro: ₹299/mo unlimited.
Who hunted AudioGuard?
AudioGuard was hunted by Mokshith. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AudioGuard including community comment highlights and product details, visit the product overview.