How to Identify AI-Made Music: 3 Tools

Ora Sawyers

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Key Takeaways

  • AI music has evolved over multiple decades, with tools like free music AI generators making it accessible.
  • It’s tricky to identify AI-made music without apps, but inconsistencies like robotic voices may indicate AI involvement.
  • Tools like AI Voice Detector, PlayHT, and TimeStretch are efficient ways to detect AI-generated music for varying fees or free.



You may have heard “Heart on My Sleeve”, the AI song that featured generated voices of Drake and The Weeknd. And with that in mind, you may also be wondering how you can identify AI-generated music. Here are some tools that can help.


How Has AI Music Evolved?

Artificial intelligence has been around for decades, and we can actually trace its uses in music back to the 20th century. In more recent years, and as reported by the BBC, we’ve seen Iamus—a computer developed at Málaga University in Spain—become capable of generating classical tracks with minimal effort.

Whereas AI in music was often much less accessible to the masses, that is no longer the case. These days, you can use several apps—including a number of free music AI generators—to create your own tracks in little to no time. As machines have become smarter, users have also gained the ability to include several voice styles in their songs.


Is There Any Way I Can Detect AI-Made Music Without Apps?

Spotting AI-generated music without technological assistance is very difficult. Nonetheless, you can try a couple of things to determine whether a person sings your track or not. For example, you can try changing the speed of the track; the voices in AI-generated songs are sometimes inconsistent when you speed up or slow down what you’re listening to.

Even at a regular speed, AI-generated music sometimes has consistencies in sounds and speeds. For example, voices can sound robotic or randomly break where a normal person’s would not. However, it’s worth noting that while this could be a sign of AI-generated music, it might also stem from editing glitches.

Nowadays, music streaming services are also utilizing tools to identify AI-made music. For example, Deezer announced in June 2023 that it was working on tracking features that would help in this respect. So, if you suspect that others are copying your voice or music with AI, you often won’t need to do much (but you should still report a song if you suspect that happens to you).


If you want to identify AI-made music more efficiently, you can use one of many tools. Some are designed specifically to discover AI-generated music, whereas others will help you identify multiple kinds of audio.

Below is a list of our favorite AI music and audio identifiers.

1. Identify Fake Voices and AI-Generated Music With AI Voice Detector

AI Voice Detector is one of the most powerful tools on the market for identifying AI-generated voices, and it’s an ideal option if you want to quickly find out whether a song was created using AI or not. You can go directly to the AI Voice Detector website, but it’s also possible to download a browser extension if you need quicker and more frequent access to the tool.

If you want to use AI Voice Detector, you’ll need to pay a subscription fee. Month-to-month subscriptions cost $24.99/mo. If you’d prefer to pay annually, you’ll need to pay $200/yr instead. When you sign up, you can upload files in multiple formats and enjoy several other benefits.


Pricing for the AI Voice Detector App

To use AI Voice Detector:

  1. Sign up for an account.
    The Sign-up page for AI Voice Detector

  2. Go to the AI Voice Detector homepage. Browse for the audio file you want to examine.
    The Voice Detection Page on AI Voice Detector

  3. Select Detect Voice and wait for AI Voice Detector to determine whether the track is AI-generated or not.

If you want to find AI-generated music, you can check out these top places to find music made by AI.

2. Use PlayHT to Identify Whether a Song Was Made by a Person

PlayHT primarily specializes in helping users generate AI content, but it also has a handy tool that can help you determine if a voice recording is real or not. With PlayHT’s AI voice detection feature, you can examine files in MP3, WAV, or FLAC. To do so, simply go to the website and drag and drop your audio file. Alternatively, select Upload a file.


Detect AI-Generated Content With PlayHT

You can use PlayHT’s detection tool for free. Files normally don’t take too long to download, and you’ll see whether your track was generated by AI or not once PlayHT has scanned your content.

If you want to find out whether pictures were generated by AI or not, you’ll need to use a separate set of tools. You might want to check out this guide on how to identify an AI-generated image.

3. Check for Inconsistencies in Songs With TimeStretch

Since there isn’t a huge number of tools publicly available to detect AI-generated music, you may need to think outside the box a little. Since you can sometimes check to see if music was generated by AI by changing the speed of your song, TimeStretch offers a potential route to discover whether a track was made by a person or not.


When using TimeStretch, you can easily change the speed via a dial in the bottom left-hand corner. Moreover, you have the option to adjust a song’s pitch and tune. Again, all you need to do is move these dials to the left or right.

TimeStretch is completely free to use. Here’s how to use the tool:

  1. Drag and drop your track into TimeStretch after going to the website.
  2. Adjust the speed slider and anything else you feel is necessary.
    Search for inconsistencies in your music with the TimeStretch app

  3. Press the Play button to hear your track. You can then determine whether your song was developed by AI or not.

Considering that AI is still very new, it’s not surprising that discovering whether a song was developed using the technology is so difficult. It’ll almost certainly become much easier in years to come; in addition to more tools becoming available, music streaming platforms will also become more advanced at tracking these songs. However, these options are a good place to start.

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