VoiceAuth: Deep Fake Detector

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Voice Auth: Deepfake Audio and Voice Detector Because every voice deserves to be real. Introducing VoiceAuth: Your Shield Against Deepfake Audio VoiceAuth is here to redefine how we validate the authenticity of audio files. Whether you're a journalist, a business leader, or just someone who values truth, VoiceAuth equips you with cutting-edge tools to detect and fight deepfake audio effortlessly. Who is it for? Media Professionals: Ensure your audio content is credible and tamper-proof. Law Enforcement: Authenticate voice recordings in investigations. Businesses: Protect call centers and secure internal communications. Educators & Researchers: Dive into real-world machine learning and voice analytics. Security Experts: Enhance voice biometrics and authentication systems. Why VoiceAuth? Detect Deepfakes with Precision: Leverage advanced AI models, including Random Forest and Hugging Face technologies. User-Friendly: Intuitive interface tailored for both tech-savvy users and beginners. Fast & Reliable: Real-time analysis with confidence scores, metadata extraction, and visual insights. Multi-Model Capability: Use models like Random Forest, Melody, or 960h individually or combine them for superior results. Portable & Secure: Runs seamlessly on your system with no internet dependency for predictions. Transforming Industries Journalism: Verify audio sources before publishing. Legal: Strengthen audio evidence for court cases. Business: Detect fake voice inputs in customer interactions. Research: Analyze voice patterns and expand your knowledge of machine learning. Ready to try VoiceAuth? Download now and take control of your audio files. With VoiceAuth, truth and authenticity are always within reach. Support Us! Love what VoiceAuth stands for? Help us grow by donating here. VoiceAuth – Deepfake Audio and Voice Detection Made Simple. Need assistance or want to collaborate? Reach out: sadiqkassamali@gmail.com Github: https://github.com/sadiqkassamali/VoiceAuth URL: https://voicedetector.streamlit.app/ Windows app link: https://detectfakes.lemonsqueezy.com/buy/bcbe8cfb-3f5b-4826-...

Visit product View on Hacker NewsNov 27, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, user · Missing: agents, macos, agent

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AppSumoStrong fit for a featured deal · Strong signals: intuitive, friendly, interface · Missing: plus, platform, reviews

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io, including · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio, collaborate · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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