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AI Voice Deepfake Detector

Spot AI-generated, cloned, and synthetic speech in any audio clip. Get a probability score plus confidence rating in seconds — the inverse of TTS, built on the same models.

Akaụntụ
Anyị enweghị ụda TTS n'asụsụ gị kemgbe. Meekwa ka anyị tinye gị! Kpọnye ụda gị

Upload Audio to Verify

200 Ụdị

Tinye faịlụ gị ebe a, mọọbụ Browse

MP3, WAV, FLAC, OGG, M4A. Max 50MB. Up to 60 seconds is scored.

file.mp3

0 MB
- mọọbụ banye site na mikorofon gị -
00:00
Free — 10 detections per day, no signup needed

Analysing audio against the deepfake classifier...

Using HuBERT-base classifier (MIT)
Verdict
—

Probability the clip is AI-generated

Verdict —
Confidence —
Audio Scored —
Cost —
Show raw class scores 

                    


                    

                        
                    

                

            

        

    


    

        

            

                
How it works

            

            

                
The detector is a HuBERT-base classifier (Meta AI, MIT licensed) fine-tuned on FoR, ASVspoof, and WaveFake — three of the largest public corpora of human-vs-synthetic speech.

                
It returns the probability that the clip was generated by a TTS model, voice clone, or other AI system, plus a confidence rating. Treat the score as a strong signal, not legal proof.

            

        


        

            

                
Who uses this

            

            

                
    
                    
  • Journalists vetting leaked or anonymous recordings
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  • Marketplace buyers verifying voice samples are human before paying
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  • Trust-and-safety teams flagging voice-cloned harassment
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  • Researchers labelling datasets at scale
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  • Creators proving their own audio is genuine
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Nhazi ndị a akwadoghị

            

            

                
MP3, WAV, FLAC, OGG, M4A

                
Max 50MB per file. First 60 seconds are scored — long clips are truncated.

            

        

    




    

















    

        
Deepfake Detection Plans

        
Bido n'efu, gbasaa mgbe ịchọrọ ihe ọzọ

        

            
            

                

                    
                    

                        

                            Free
                        

                        
    
                            
                            
  • 10 detections per day
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  • Clips up to 60 seconds
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  • Probability + confidence score
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  • No account required
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Nke kacha amasị

                    

                        

                            Free Account
                        

                        
    
                            
                            
  • 15,000 free characters on signup
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  • 200 characters per detection
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  • Detection history
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  • All output details (raw class scores)
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                            Akaụntụ
                        
                        
                    

                

            

            
            

                

                    
                    

                        

                            Pro
                        

                        
    
                            
                            
  • Priority GPU queue
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  • Bulk detection via API
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  • Webhook alerts on FAKE verdicts
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  • Marketplace integration
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                            Nkwalite
                        
                        
                    

                

            

            
        

    









    














    

        
Ajụjụ ndị a na-ajụkarị

        

            

                

                    
                    

                        

                            
                        

                        

                            

                                It analyses an audio clip and tells you the probability that the speech is AI-generated, cloned, or otherwise synthetic. You get a 0-100% score plus a confidence rating, so you can decide whether the recording is trustworthy enough for publication, payment, or evidence.
                            

                        

                    

                    
                    

                        

                            
                        

                        

                            

                                A HuBERT-base classifier (Meta AI, MIT licensed) fine-tuned on three of the largest public corpora of human-vs-synthetic speech: FoR (Fake-or-Real), ASVspoof, and WaveFake. The fine-tune is published as MelodyMachine/Deepfake-audio-detection-V2 on Hugging Face.
                            

                        

                    

                    
                    

                        

                            
                        

                        

                            

                                On the public FoR test set the underlying model reports above 95% accuracy, and on ASVspoof-style attacks it consistently flags TTS and voice-cloning output. Accuracy on novel models the classifier has never seen is lower — treat the score as a strong signal, not legal proof.
                            

                        

                    

                    
                    

                        

                            
                        

                        

                            

                                You can upload clips up to 50MB and roughly 60 seconds of speech. Longer recordings are automatically truncated to the first minute, which is enough for the classifier to make a stable decision.
                            

                        

                    

                    
                    

                        

                            
                        

                        

                            

                                No. The clip is processed in-memory on our GPU server, the result is returned to you, and the upload directory is deleted immediately. We never log, share, or use your audio for training.
                            

                        

                    

                    
                    

                        

                            
                        

                        

                            

                                Detection costs 200 characters per clip — the smallest paid operation on the platform. Free accounts can run a few detections per day; signed-in paid users can run them at full speed with priority queue access.
                            

                        

                    

                    
                    

                        

                            
                        

                        

                            

                                Trust matters more, not less, in a world full of synthetic voices. The marketplace lets buyers verify a creator-uploaded sample is human before paying. Journalists can vet leaked-recording authenticity. Platform safety teams can spot voice-cloned harassment. The detector is the inverse of TTS: same expertise, opposite goal.
                            

                        

                    

                    
                    

                        

                            
                        

                        

                            

                                Not yet — the v1 detector only outputs real vs synthetic. Model attribution (which TTS engine made this?) is on the roadmap once we have enough labelled samples per model.
                            

                        

                    

                    
                

            

        

    











    

        

            

                
                
                
                
                
                
                
                
                
                
                
                
                
            

            5.0/5 (1)
        

        

            
Gịnị ka anyị ga-eme ka ọ dịrị mma? Ntụziaka gị na-enyere anyị aka idozi nsogbu.

            

                
                
                
                
            

            

                
                
            

        

    










    

        
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