The Best AI Tools for Sound

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There are so many uses for artificial intelligence these days, that you can create pretty much anything with its power. There are many different tools for all sorts of AI-related tasks, including those aimed at generating and improving sound.

If you’re a creative person looking to use music and voice in a smarter way, or you’re interested in reading about how AI could use sound to improve other aspects of our lives (including healthcare), then read on to see what we think are the best AI tools for sound.

What is AI Sound

In recent years, artificial intelligence (AI) has significantly influenced how we interact with audio. But there is no single answer as to what ‘AI Sound’ really is.

That’s because there are so many different ways that we use sound. But mostly, when we talk about AI audio tools, we’re talking about using artificial intelligence to either generate music or other sounds or to improve the audio files we already have through smart audio editing.

There is a third category, which is using AI to analyze audio files, which we’ll touch on briefly. But primarily, AI is used either in audio production or in audio editing.

Different Uses for AI in Sound

Here’s a look at some of the main uses for AI in audio, in a little more detail.

AI Music Creators

One of the most captivating applications of AI in sound is its ability to create music. AI algorithms, such as neural networks and deep learning models, have been trained on vast datasets of music compositions, enabling them to generate original music pieces.

Companies like OpenAI and Google have developed AI-powered music generators that can compose melodies, harmonies, and even entire songs. But there are also specialist options for an AI music generation tool that offer even more customizability.

Musicians and composers can use these tools to spark creativity, experiment with different musical styles, and overcome creative blocks. And it’s also great for anyone working in video editing or who runs their own YouTube channel since you can create royalty-free music to use.

One of the most painful parts of the video editing process is trying to find a suitable track that doesn’t cost the earth. By using music generated by AI tools, you can always get the perfect fit for your video. And it won’t sound the same as all the stock videos that everyone else is creating!

AI Audio Enhancers

AI audio enhancers are tools designed to improve the quality of audio recordings. They can remove unwanted background noise, enhance clarity, and optimize audio for various applications.

These tools find applications in audio post-production for film and television, podcasting, and even in everyday scenarios like improving the sound quality during video calls. AI-based audio enhancers leverage machine learning to adaptively process audio data, resulting in cleaner and more enjoyable listening experiences.

Whether you work in music production, or you’re a podcaster, using artificial intelligence to tidy up your audio files can take away a lot of the hard work. You can remove background noise in just a click, change the volume of your background music so that it doesn’t impinge on your voice, and generally create professional sound without needing to be an expert.

AI Voice Generators

AI voice generators are one of the most interesting, but also the most controversial, branches of AI sound. We’ll get into the ethical controversy in a little bit, but let’s focus on the potential of using AI voices for now.

A lot of people don’t like the sound of their own voice, or their creative projects require the use of various natural-sounding voices for different means.

Using an AI-powered tool you can create custom voices, or you can improve existing audio files to replace speech with a different natural voice. The end result can mean the difference between human voices that sound echoey or forced and professional audio with high-quality voices that sound as if you’ve hired voice actors.

Again, we’ll cover that controversy later in the guide…

Text-to-Speech Technology

Text-to-speech (TTS) technology, a subset of AI voice generation, has evolved to offer a wide range of synthetic voices and accents. It is a valuable tool for individuals with visual impairments, as it enables them to access written content through audio.

TTS is also used in content creation, allowing authors and publishers to produce audiobooks and make written content accessible to a broader audience. A lot of people use these AI-powered tools to make their YouTube videos more accessible, by reading out the subtitles.

As well as using TTS to turn text into an audio file, you can also use the tech in reverse – take an audio file and turn it into a transcript. Many AI tools offer this kind of speech recognition, which can make it much easier to quote a video or podcast, and potentially summarise high volumes of content in bite-size text chunks.

AI Audio Processing and Analysis

In the field of healthcare, AI has proven to be a powerful tool for sound analysis.

AI systems can analyze medical sounds such as heartbeats, respiratory patterns, and abnormal lung sounds to assist healthcare professionals in diagnosing and monitoring patients. These AI applications improve the accuracy and efficiency of diagnostics, potentially saving lives.

There’s huge potential for AI-powered audio analysis. Being able to automatically register the tiniest sounds could be used further in medical fields, but also developed for finding missing people, predicting earthquakes and other natural disasters, and more.

Current Challenges and Limitations

While AI sound tools offer incredible potential, they are not without challenges and limitations.

Data Quality

AI models require large, high-quality datasets for training. In sound-related tasks, obtaining such datasets can be challenging due to the diverse nature of audio. You need a lot of real voice actors to be able to accurately generate different voices artificially, for example.

And if you want to generate unlimited songs using some AI tools designed for generating music, you need a lot of source material for the system to understand how to put music together properly. AI composer tools are relatively new, and to create high quality audio content that sounds as if it were made in a recording studio, it will take time.


Voice assistants and voice-activated devices raise privacy concerns as they often record and transmit audio data, raising questions about data security and consent. So there has to be a lot of work done with AI technology to tighten up privacy rules, allowing users to control what data theirs is kept.


AI sound tools can inadvertently perpetuate biases present in the training data, leading to unfair or discriminatory outcomes. If you’re trying to mimic a human voice and the only data is from voice actors who’ve recorded in certain tones, or if the you’re working with multiple languages and a mistake is made, you could accidentally offend through the bias that was not intended.


Creating AI-generated sound is extremely complex. This isn’t like creating written words – audio formats are significantly harder to create. The only thing more difficult than faking AI sound is faking AI video.

So expect there to be some imperfections with sound for now. In your creative process, plan for the quality to be not-quite-human-like yet, but we’re maybe not decades away.

Legalities and Ethics of AI Sound

It’s important to recognize that, not only are there current challenges around using AI in audio and video files, but there are some legal and ethical concerns as well – concerns that must be taken seriously if we want AI audio tools to become acceptable in creative industries.

Legalities of AI Sound

The use of AI sound tools also brings legal considerations to the forefront.

Copyright and Ownership

Copyright issues arise when AI-generated music or audio content is used in commercial settings. Determining ownership and royalties can be complex. Any audio tools you use must be clear on ownership – you need to make sure that you’re allowed to use generated content in your various creative projects, otherwise, you could find yourself in trouble.

Intellectual Property

AI-generated sound may raise questions about intellectual property rights. Who owns the output of an AI music generator, for example, the AI creator or the user who initiated the process?

And then there’s the question of who owns the human voices created by AI-powered tools. AI voices are often based on real voice actors, so do those voice actors have a claim to the IP of their own voice?

And then there’s the murky world of voice cloning, where artificial intelligence is used to recreate the mouth sounds of a real actor, typically without their permission or based on a sketchy contract. That could again become a serious legal consideration.

Ethics of AI Sound

Ethical concerns surrounding AI sound tools include:

Ethical Use

The ability to create realistic audio impersonations using AI raises concerns about misuse, such as creating fake audio recordings for malicious purposes. Just like deepfake porn, there could be deepfake audio files used to manipulate people or just to fake confessions, harmful statements and more. This is an industry that needs serious legislation to protect against this.


Users may not always be aware when AI-generated audio is involved, highlighting the need for transparency in labeling and disclosure. It’s not fair to sell a podcast, video game, video or other content if you’ve used synthetic voices or generated music and not made that clear to the customer.

Replacing Humans

One of the biggest concerns is how AI sound could be used to replace real human creators, costing them their jobs. It shouldn’t be, though – AI will never be quite as good as the real thing.

It may be able to recreate different voices or fake chord progressions in music, but it can’t be as unique as the ideas created by the human mind. An AI tool might have an intuitive interface, but that’s as intuitive as it gets.

Practical Considerations of AI Sound

Before integrating AI sound tools into any application, several practical considerations must be taken into account:


The cost of implementing AI sound tools can vary significantly, depending on the complexity and scale of the project. Organizations need to assess their budgetary constraints and consider the return on investment (ROI) of using AI in sound-related tasks.

There are usually free trials of many AI tools, but they will only include basic features. If you want the full thing, you may be paying a hefty monthly sum.


You need to ensure that the chosen AI sound tool is compatible with existing software and hardware infrastructure. Compatibility issues can lead to delays and additional costs in implementation. It’s no good if you pay for audio tools to help you, but it only produces MIDI files and you can’t use those without extra work converting them.

Ease of Use

Evaluate the user-friendliness of the tool and the training required for users to harness its full potential. Intuitive interfaces and comprehensive documentation can significantly reduce the learning curve – the idea of AI is to make it much easier for you to create audio files.

Data Privacy

When dealing with sensitive audio data, data privacy and security measures should be a top priority to protect user information. Compliance with data protection regulations is essential, so don’t just tick the boxes to sign up – actually read what you’re getting into.

10 Best AI Sound Tools

1. Adobe Audition

Adobe Audition is a professional-quality audio workstation that lets you mix, edit and restore music content to very high standards. It’s one of the most well-known and powerful audio tools in the world, and as Adobe continues to innovate with AI technology, it’s opening up new ways to save time without compromising on the quality of your audio files.

Remove background noise with ease, smartly boost the levels of your work to make it easier to hear subtle sounds, and use batch upload tools to quickly work on multiple audio recordings at the same time.

Adobe Audition costs from $21 per month if you buy the app alone, but most people prefer to pay for the full Creative Cloud suite of apps which starts from $55 per month.

2. Adobe Podcast

Adobe Podcast is another app from the creative minds of Adobe, but this one is specifically targeted at podcast creators. It’s very powerful, letting you enhance speech recordings with ease, record and edit your work in just your browser, and more.

One clever feature is an AI-powered tool that checks your setup – perform a mic test that tells you how to make tweaks to your equipment so that you get the best results.

And then, it will automatically transcribe your podcasts to make it easier than ever to edit your audio, finding the content you want to cut and removing it quickly.

Adobe Podcast is still in beta, and it’s currently free to use – this may change in the future.


LANDR is a multi-tasking tool that lets you create, master and promote music. It uses powerful AI tools to make it easier than ever to control your music, and claims to have been used by professional singers – so you know you’re getting a quality app.

It uses machine learning as part of its AI mastering, which means it will not just turn your tracks into top-quality tunes, but it’ll apply the same signature styles to the rest of your music easily. And there are loads of options for tinkering to get the very best sound.

Then, you can easily use the audio distribution tools to get your AI-mastered music onto various streaming platforms including Spotify, Apple Music, Tidal and more.

If you’re a serious sound producer, it’s worth checking this out. Subscriptions start at $19.99 per year but expect to pay more if you’re a professional.


LALAL.AI is a really clever AI audio tool that specializes in stem splitting. Put simply, this means taking audio files and then separating them out into their component parts.

So if it’s a song, it can separate vocals, instruments and any other accompaniments. For voice recordings, it lets you capture the clean voice while it can remove background noise, acting as a vocal cleaner.

If you need to reverse-engineer any audio file then this is the software you need. The key features make it really simple to identify each individual track within your audio recordings, so you can edit with ease.

A free trial is available and prices start at just $15.

5. Murf

Murf is an AI tool designed for text-to-speech (TTS), perfect for creating voiceovers. It’s commonly used to produce lifelike voices for podcasts, videos, and presentations. The Murf Studio makes script management easy, offering over 120 AI voices in various languages.

You can even transform your own voiceovers with AI to match the desired tone using emotion control. Additionally, Murf provides access to 8,000+ licensed audio tracks for your projects.

Murf goes beyond TTS; it supports video imports from platforms like YouTube and Vimeo, streamlining the workflow for video editors. This versatile AI audio tool offers essential audio and video editing capabilities, making it an excellent choice for content creators looking to enhance their presentations.

Free plans are available but for all features, expect to pay from $29 per month.

6. Typecast

If you want to turn your written text into realistic-sounding human voices then Typecast is a solid option. It has a wide range of existing avatars that have their own voice, so all you need to do is decide who you want to voice your content and add the written words.

It’s not just audio either – the human-like avatars look fairly convincing, so you can create video content using the tool as well.

Free plans let you create up to 5 minutes of footage a month using the trial characters, but you’ll need to pay for a plan to unlock all characters. If you want to download high-quality audio and video files, the Pro plan costs from $29 per month.


VEED, the AI audio enhancer, offers a simple solution to eliminate bothersome background noise with ease. Say goodbye to the hassle of buying expensive sound-blocking microphones or spending precious time manually editing out unwanted audio distractions.

Effortlessly upload your video to VEED and opt for the “Clean Audio” feature. Let the power of AI take charge, effortlessly eradicating all those distracting background sounds. Once the process is complete, you’ll have a polished MP4 version of your video, ready to be shared seamlessly across your preferred social media platforms.

There are other AI tools for video editing as well, including subtitle generation and eye contact correction.

You can export your work for free if you don’t mind a watermark, but if you want it ready to use professionally then it costs from $18 per month.


Audo stands out as one of the better AI audio enhancers, catering to creators seeking professional, top-notch results. With its user-friendly and intuitive interface, you can swiftly upload and modify sound files or even conduct recordings directly within the app.

Whether you’re an amateur podcaster or a seasoned sound engineer, Audo’s AI technology and audio engineering prowess guarantee straightforward yet powerful audio editing, so you can massively improve the quality of your recordings.

What sets Audo apart further is its dynamic development team, consistently crafting new features and enhancements. While there’s no guarantee that future key features will be useful to you, the fact they’re committed to transparency and development is only a good thing.

A basic free package lets you try noise removal and auto volume features for up to 20 minutes of audio – paid plans start from $12 per month.

9. Soundraw

Soundraw is all about music generation. You can start as simple as just choosing the mood, genre, and length of a song and it’ll write fantastic tracks for you, or you can get more involved to find the perfect music for your project.

The best thing about using Soundraw for creators is that it is completely royalty-free music and you enjoy the license to use it forever – there are no time limits and you won’t get any copyright strikes on your content.

Customizing the songs is really easy too, thanks to a series of intuitive button commands that let you change the intro length, boost the energy and more.

You can try the app for free, and generate unlimited songs, but if you want to use them then you’ll need either a Creator Plan ($17 per month) or an Artist Plan ($30 per month), which includes audio distribution, lets you add your own vocals and more.

10. Krisp

Krisp is a noise-cancelling app. Tailored for online meetings, Krisp uses artificial intelligence to minimize background noise effectively. Whether you’re in a bustling Starbucks or any noisy environment, Krisp ensures that background noise and echoes are eliminated in real time, ensuring your voice remains crystal clear during the meeting, guaranteeing smooth communication with your team members.

Krisp also offers convenient meeting transcription services within its platform. Furthermore, it enhances your productivity by transforming your meetings and calls into polished notes.

Automatically summarize crucial points and access call transcriptions easily through the Krisp interface, so you can never accidentally forget whether a task was assigned to you. It’s more of a niche service compared to other audio tools, but it’s very valuable.

Priced plans start at $12 per month.

Final Word

AI has revolutionized sound processing, from music creation to healthcare applications. However, as we continue to explore the possibilities of AI sound tools, we must also remain vigilant about their legal and ethical implications.

By considering practical factors and staying informed about the latest advancements, we can harness the power of AI to enhance sound in innovative ways.

And if you’re a solo creative, these tools can make your life so much easier. The use of audio widgets for noise reduction, as a voice cleaner, or to even create voiceovers from scratch, can save you hours and turn your amateur content into something professional and amazing.