Heard a voice note, a viral clip or a phone message and wondered "is this voice AI?" Upload it, and the detector estimates how likely it is that the speech came from text-to-speech or a voice clone, on a 0 to 100 scale. The report explains why: breaths that are missing or pasted in, prosody that is too even, odd stress on names and numbers, metallic or smeared consonants, and background noise that stops dead between words. It also tells you how confident it is and what to do next to verify the speaker. Detection is probabilistic. A convincing clone can pass as human, and a real person on a bad line can look synthetic, so use the result as one clue among several, never as final proof.
Example result
Input
A 25-second voice message, supposedly from a manager, asking a colleague to urgently approve a payment.
Output
Assessment: likely synthetic or cloned. Prosody: sentence rhythm is highly regular, and every phrase ends with the same falling pitch. The words "urgent" and "today" carry flat emphasis where a stressed speaker would push them. Breathing: no audible breaths across 25 seconds of continuous speech. Artifacts: a faint metallic ring on s and sh sounds, and a small click at the join between "please" and "approve". Background: the room tone drops to digital silence between sentences, which suggests the speech was generated and placed on a clean track. Confidence: moderate. The clip is short and compressed by the messaging app. Verify: call the manager back on a number you already have, or ask a question only they could answer.
Scores
How it works
How AI Voice Detector works
- 01
Upload the suspicious audio
Sign in, open the detector and upload the file or record it playing back. Pick the AI model to run the check. The less the clip has been re-compressed, the better.
- 02
Prosody and breathing
The model listens to rhythm, pitch movement and emphasis. Human speech wanders; synthetic speech often keeps an unnaturally steady pace, stresses the wrong syllable or skips breaths.
- 03
Artifacts and cloning traces
It looks for vocoder buzz, phasey or robotic textures, glitches at word joins, and timbre that shifts mid-sentence, which are common signs of TTS or voice conversion.
- 04
Probability and next steps
You receive an AI voice probability, a confidence level, the specific characteristics found, and recommendations for verifying the source outside the audio.
Use cases
Who it is for
Suspected voice-cloning scams
Check a voicemail from a "relative in trouble" or a boss asking for a wire transfer before you act, then verify through a channel you trust.
Journalists and fact-checkers
Screen a viral clip of a public figure for synthetic traits as a first step, before deeper verification with the source and forensic specialists.
Podcast and audiobook producers
Confirm that submitted narration or guest audio is what the contributor said it is, and spot AI voiceover that was not disclosed.
Teachers and moderators
Review recorded assignments or community voice posts when you suspect text-to-speech was used in place of a real speaker.
Tips
Get better results
- Upload the original file, not a screen recording; each round of compression hides artifacts and makes real voices sound more synthetic.
- Longer clips help. Twenty seconds or more of continuous speech gives the model room to judge rhythm and breathing.
- Trim music and sound effects if you can, since they mask the texture of the voice.
- Read the confidence level together with the probability; a high probability with low confidence is a reason to dig further, not to conclude.
- Always confirm through a second channel, such as a callback or a code word agreed in advance with family.
Limitations
What it can't tell you
AI voice detection is probabilistic and can be wrong in both directions. New voice cloning models are built to avoid known artifacts, so a synthetic voice may score as human. Real voices can score as synthetic when the audio is heavily compressed, noise-suppressed, auto-tuned, recorded on a poor phone line or spoken by someone with a flat delivery. The result is an AI estimate, not a forensic or legal determination, and it should not be the only basis for accusing someone of fraud or deception. For evidence in a dispute, consult a qualified audio forensics examiner.
Frequently Asked Questions
AI Voice Detector questions
How can you tell if a voice is AI?
Listen for things humans do without thinking: breaths, small pitch wobbles, uneven pacing, and emphasis that follows meaning. AI voices often sound too smooth, mispronounce names, put stress in odd places or have a faint metallic edge. The detector checks these cues for you and explains which ones it heard.
Is an AI voice checker accurate?
No detector is certain. This one gives a probability and a confidence level because both false positives (a real person flagged) and false negatives (a clone missed) happen, especially with short or compressed clips and with the latest cloning models. Treat the output as a lead to investigate.
Can it detect deepfake voices and voice clones?
It looks specifically for voice cloning and text-to-speech indicators, such as timbre drift, joins between generated segments and unnatural prosody. Well-made deepfakes can still slip through, so pair the check with verification of the source.
Does it tell me which AI tool made the voice?
No. It describes which synthetic characteristics are present, not which product or company produced them. Different generators can sound alike, and naming one would be guesswork.
What should I do if a call might be a cloned voice?
Do not send money or information during the call. Hang up and contact the person through a number or account you already know, or ask a question only they could answer. Families can agree on a code word in advance. The detector's recommendations section suggests similar checks.
What does using the detector involve?
It runs on a paid plan with monthly credits; each clip you check uses some. Plans are described on the pricing page.
Related tools
You might also need
Audio Forensics
Forensic analysis of audio including authenticity, tampering detection, and enhancement
Biometric Voice Match Detector
Compare two voices to determine if they belong to the same person
Speaker Diarization
Identify and separate different speakers in audio with timestamps
Celebrity Voice Matcher
Compare voice to celebrities and identify which celebrity you sound most like
Audio Quality Checker
Assess audio quality metrics including clarity, noise, distortion, and overall production value
AI Voice Detector uses credits from a paid LindaleAI plan. See pricing