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Stop getting rejected by ACX, demonetized on YouTube, or flagged by client AI detectors. Instantly sanitize ElevenLabs, OpenAI, and SynthID metadata tags, unlock 24kHz vocoder phase grids, and drop AI classifier scores from 96% to 2%.
As a developer who does a lot of audio engineering, I kept running into the same frustrating issue: amazing AI voiceovers getting instantly flagged by strict platforms (like ACX or monetized YouTube channels) because of robotic phase artifacts and hidden digital fingerprints.
I built VoxErase to solve this. The backend uses a custom multi-pass DSP pipeline (built with Python, SciPy, and FFmpeg) to manipulate the audio phase grid and smooth out the dynamic range. It strips the artificial signatures and restores the natural human warmth.
In my recent testing, a raw AI export that flagged at 98% AI dropped to just 2% after going through our 6-stage pipeline.
I would love for you to test it out with your own AI audio files. I’ll be hanging out here all day to answer questions, and I would genuinely love your brutal feedback on the audio output quality and the web UI!
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About VoxErase on Product Hunt
“Free AI Voice Humanizer & Audio Mastering”
VoxErase was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #159 on the daily leaderboard. Stop getting rejected by ACX, demonetized on YouTube, or flagged by client AI detectors. Instantly sanitize ElevenLabs, OpenAI, and SynthID metadata tags, unlock 24kHz vocoder phase grids, and drop AI classifier scores from 96% to 2%.
VoxErase was featured in Marketing (470.8k followers), Artificial Intelligence (483.8k followers) and Audio (2.2k followers) on Product Hunt. Together, these topics include over 231.7k products, making this a competitive space to launch in.
Who hunted VoxErase?
VoxErase was hunted by Ameen Taher. 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.
Want to see how VoxErase stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ameen Taher
Hi Product Hunt! 👋 I’m the maker of VoxErase.
As a developer who does a lot of audio engineering, I kept running into the same frustrating issue: amazing AI voiceovers getting instantly flagged by strict platforms (like ACX or monetized YouTube channels) because of robotic phase artifacts and hidden digital fingerprints.
I built VoxErase to solve this. The backend uses a custom multi-pass DSP pipeline (built with Python, SciPy, and FFmpeg) to manipulate the audio phase grid and smooth out the dynamic range. It strips the artificial signatures and restores the natural human warmth.
In my recent testing, a raw AI export that flagged at 98% AI dropped to just 2% after going through our 6-stage pipeline.
I would love for you to test it out with your own AI audio files. I’ll be hanging out here all day to answer questions, and I would genuinely love your brutal feedback on the audio output quality and the web UI!