7 Best AI Audio Tools in 2024

The audio industry has always been a playground for technological innovation, but the advent of Artificial Intelligence (AI) has accelerated this evolution beyond imagination. AI, once a buzzword reserved for sci-fi movies and academic papers, has now firmly entrenched itself as a cornerstone in audio editing, production, and enhancement. As we step into 2024, AI audio tools are not just novelties; they are essential instruments reshaping how we create, manipulate, and experience sound.

The significance of AI in audio cannot be overstated. These tools, powered by advanced algorithms and machine learning, have democratized high-quality audio production, making it accessible to professionals and hobbyists alike. From automatically cleaning up noisy recordings to composing entire musical pieces, AI’s capabilities are vast and continually expanding. In 2024, whether you’re a podcast producer, a music studio engineer, or an enthusiastic audiophile, embracing AI in audio is not just a step forward – it’s a leap into a new era of sound.

In this blog post, we will explore the seven best AI audio tools of 2024, each a marvel of modern technology. You’ll learn about their groundbreaking features, how they stand out in the crowded tech market, and why they are indispensable in your audio toolkit. Whether you’re looking to streamline your workflow, enhance your audio quality, or simply curious about the latest in audio tech, this guide will shed light on the best that 2024 has to offer. So, plug in your headphones, and let’s dive into the world where AI meets audio, transforming the soundscape of our lives.

7 Best AI Audio Tools in 2024

1. ElevenLabs
2. Descript
3. Murf.ai
4. Otter.ai
5. Speechify
6. Landr
7. Lalal.ai

1. ElevenLabs

ElevenLabs Key Features

• Speech Synthesis: Voices anything from a single sentence to an entire book.
• VoiceLab: Create a digital clone of your own voice.
• Voice Library: Share custom voices with the community.

ElevenLabs Pricing

• Free Plan: $0
• Starter Plan: $1/month
• Creator Plan: $11/month
• Independent Publisher Plan: $99/month

ElevenLabs Pros

• High-quality audio with advanced deep learning technology.
• Easy to use and versatile for various purposes.
• Supports a wide range of languages.
• Create and share your own voice.

ElevenLabs Cons

• Potential for malicious use (e.g., deepfake creation).
• Accuracy depends on input text quality.

2. Descript

Descript Key Features

• All-in-one video & podcast editing.
• Video editing as easy as using docs and slides.
• Screen recording and powerful transcription tools.
• Clip creation and collaborative tools.
• AI-powered video editing and intuitive interface.

Descript Pricing

• Monthly subscription – $15/month
• Annual subscription – $12/month

3. Murf.ai

Murf.ai Key Features

• Text-to-speech in over 20 languages.
• Transcription capabilities.
• Realistic AI voiceovers.
• Voice changer feature.

Murf.ai Pricing

• Monthly subscription – $29/month
• Annual subscription – $228/year

4. Otter.ai

Otter.ai Key Features

• Live meeting and media transcription.
• Otter Assistant for automated meeting notes.
• Custom vocabulary and name recognition.
• Outline summary and Otter Assistant.
• File synchronization and mobile app support.

Otter.ai Pricing

• Basic Plan: Free (300 minutes/month).
• Pro Plan: $16.99/month.
• Business Plan: $40/month.
• Enterprise Plan: Contact for pricing.

Otter.ai Pros

• Good support for calendar integrations.
• Quality transcription.
• User-friendly across devices.

Otter.ai Cons

• Downgrading plans affects sub-accounts.
• Doesn’t remove filler words.
• No live chat support.

5. Speechify

Speechify Key Features

• Text-to-speech conversion.
• Multiple language support.
• Customizable voice settings.
• Integration with various platforms.
• Accessibility features and offline mode.

Speechify Pricing

• Monthly subscription – $99/month
• Annual subscription – $288/year.

6. Landr

Landr Key Features

• Access to curated samples and exclusive plugins for various genres and styles.
• Real-time collaboration with other musicians and professionals.
• AI-driven mastering engine for custom mastering.
• Music distribution to over 150 streaming platforms.
• Promotional tools and community access for audience growth.
• LANDR Studio for comprehensive access to all features.

Landr Pricing

• Studio: $11.99/month
• Studio Pro: $24.99/month

Landr Pros

• Variety of creative tools for musicians.
• Powerful AI mastering engine.
• Music release on major streaming platforms.
• Promotional tips and professional community access.
• Affordable plans starting from $12.50/month with a free trial.

Landr Cons

• May not fully replace professional mastering engineers.
• Possible compatibility issues with some DAWs or operating systems.
• Limitations on track numbers, file formats, or storage depending on the plan.
• Requires a stable internet connection for online services​​.

7. Lalal.ai

Lalal.ai Key Features

• Next-generation vocal remover and music source separation service.
• Uses an advanced neural network called Phoenix for stem extraction.
• Easy to use with options to preview and download stems in MP3 or WAV format.
• Different packages for various needs, including a free starter package.
• Capabilities for extracting various instruments from audio and video.
• Business solutions via API integration for custom use.
• Continuous improvement and addition of new features, including a noise cancellation solution called Voice Cleaner.

Lalal.ai Pricing

• Light Pack: $18 One Time
• Pro Pack: $70 One Time
• Plus Pack: $50 One Time
• Master Pack: $100 One Time

Lalal.ai Pros

• Extracts vocals, instruments, and more from audio and video.
• High-quality stem splitting based on advanced AI technology.
• The Phoenix algorithm provides cleaner results.
• Removes background noise and music from voice recordings.
• Offers various packages and processing levels.

Lalal.ai Cons

• Not a free service for full stem downloads.
• May struggle with complex or overlapping sounds in some music genres.
• No batch processing or offline mode.
• Legal or ethical concerns regarding the use of extracted stems.
• Competitors may offer similar or better features and quality​

Overview of AI in Audio Technology

The integration of Artificial Intelligence (AI) into audio technology marks a significant leap forward in how we interact with and manipulate sound. This fusion has not only transformed traditional practices but has also opened up new horizons in audio production, editing, and consumption.

What is AI Audio Technology?

At its core, AI audio technology refers to the application of artificial intelligence algorithms and machine learning techniques to process, analyze, and generate audio content. This involves training AI systems using large datasets of audio files, enabling them to learn and perform tasks that were traditionally done manually by audio engineers or musicians.

AI in audio can encompass a range of tasks, from simple noise reduction and voice recognition to more complex activities like music composition and sound design. These AI systems can identify patterns, make decisions based on data input, and even ‘learn’ from past experiences to improve future performance. The result is a more efficient, accurate, and creative approach to audio manipulation and generation.

How AI is Changing the Audio Industry

The impact of AI on the audio industry is profound, with innovations and improvements manifesting in several key areas:

1. Enhanced Sound Quality

AI algorithms can analyze and enhance sound quality, removing unwanted noise, and improving clarity. Tools like iZotope RX use AI for sophisticated audio restoration, making old or poor-quality recordings sound clear and crisp.

2. Automated Editing and Mixing

AI tools can now automate tedious editing and mixing tasks, streamlining the production process. For instance, LANDR offers AI-driven mastering, providing professional-quality sound without the need for manual tweaking.

3. Voice Synthesis and Manipulation

AI is revolutionizing voice technology, enabling realistic voice synthesis and manipulation. Tools like Descript’s Overdub feature allow the creation of synthetic voices that sound incredibly lifelike.

4. Music Composition and Generation

AI is not just a tool for editing; it’s also a creative partner. AIVA and Amper Music use AI to compose new music, aiding composers in creating soundtracks for games, movies, and other media.

5. Accessibility and Democratization

AI audio tools have made high-quality audio editing accessible to a broader audience. They lower the barriers to entry for aspiring musicians and podcasters, democratizing audio production.

6. Real-time Processing

AI enables real-time audio processing, crucial for applications like live broadcasting and virtual reality, ensuring high-quality audio experiences without lag or delay.

7. Predictive Analytics

AI can predict trends and preferences, helping artists and producers tailor their content to their audience, leading to more targeted and successful audio products.

In short, AI audio technology is a game-changer, offering unprecedented levels of efficiency, creativity, and quality in the audio industry. It’s not just about making tasks easier; it’s about reimagining what’s possible in the world of sound.

Criteria for Choosing the Best AI Audio Tools

When navigating the vast sea of AI audio tools available in 2024, knowing what to look for is crucial. The best tools not only offer advanced features but also strike a balance between innovation and user accessibility. Here, we delve into the key criteria that set apart the exceptional from the ordinary.

7 Key Features to Look For in Best AI Audio Tools

1. Usability

• The foremost criterion is usability. Tools should be intuitive and easy to navigate, regardless of the user’s technical expertise. This includes clear menus, straightforward workflows, and comprehensive tutorials or help guides.

2. Quality of Output

• High-quality output is non-negotiable. The best AI audio tools deliver pristine, clear, and professional-grade audio. Look for tools that offer high-resolution output, noise reduction capabilities, and advanced editing features.

3. Versatility

• Versatility is vital. The ideal tool should cater to a wide range of audio tasks – from simple editing to complex composition. It should be adaptable to various audio formats and compatible with different platforms and devices.

4. Speed and Efficiency

• Time is of the essence in the audio industry. Tools that expedite the editing process without compromising quality are highly desirable. This includes fast processing speeds and the ability to handle large files effortlessly.

5. Advanced AI Features

• The AI aspect should not be a gimmick but a core functional component. Look for tools that employ AI for innovative tasks like automatic mixing, mastering, sound design, and even AI-driven composition assistance.

6. Integration and Compatibility

• Tools should play well with others. This means seamless integration with existing software ecosystems and compatibility with a range of hardware.

7. Support and Community

• A strong support system and an active user community are invaluable. They provide resources for troubleshooting, learning, and sharing techniques.

Importance of User-Friendly Interface

The interface of an AI audio tool is more than just a visual aspect; it’s the gateway through which users interact with the technology. A user-friendly interface is crucial for several reasons:

1. Accessibility for All Skill Levels

• It ensures that the tool is accessible to users of all skill levels, from beginners to seasoned professionals. This inclusivity broadens the tool’s appeal and user base.

2. Enhances Productivity

• A well-designed interface streamlines workflow, making tasks quicker and more efficient. This enhances productivity, allowing users to focus more on creativity and less on navigating complex software.

3. Learning Curve

• Tools with intuitive interfaces reduce the learning curve. Users can start working effectively with minimal upfront learning, making the tool more appealing to those who might be intimidated by complex software.

4. User Satisfaction

• A satisfying user experience leads to higher adoption rates and user loyalty. A tool that is easy and enjoyable to use encourages repeated use and positive word-of-mouth recommendations.

Future of AI in the Audio Industry

The future of AI in the audio industry is poised for groundbreaking advancements, driven by emerging trends and potential developments. Here’s a detailed look into what the future may hold.

Emerging Trends

1. Enhanced Realism in Synthetic Voices

AI is expected to produce increasingly realistic and expressive synthetic voices, making them almost indistinguishable from human speech. This advancement will revolutionize voiceovers, audiobooks, and virtual assistants.

2. Intelligent Audio Editing

AI will enable more intuitive and automated editing processes, reducing the time and effort needed for complex editing tasks. This includes smart noise reduction, automatic leveling, and sophisticated sound design tools.

3. Personalized Audio Experiences

AI will facilitate personalized audio content, adjusting music, podcasts, and other audio media to individual listener preferences and environments, enhancing user experience.

4. AI in Music Composition

AI’s role in music composition will expand, assisting artists in creating novel melodies and harmonies, potentially leading to new music genres.

5. Real-time Translation and Transcription

Advancements in AI will enable more accurate and immediate translation and transcription services, breaking down language barriers in global communication.

Potential Developments in the Near Future

1. 3D Audio and Spatial Sound Enhancement

AI will play a significant role in creating immersive 3D audio experiences, especially for virtual and augmented reality applications.

2. AI-driven Audio Restoration

Restoration of old or damaged audio recordings will become more refined with AI, preserving historical and cultural audio archives with greater accuracy.

3. Emotion and Context Recognition

AI systems will become more adept at recognizing emotional cues and contextual nuances in speech, enhancing applications in mental health, customer service, and entertainment.

4. Sound-based Health Diagnostics

AI could be used to analyze voice and other sound patterns for early detection of health conditions, such as stress levels or respiratory issues.

5. Enhanced Collaborative Tools

AI will facilitate more sophisticated collaborative platforms for musicians and audio professionals, enabling real-time, remote collaborations with enhanced creative possibilities.

These emerging trends and potential developments suggest a future where AI not only enhances the technical aspects of audio production but also unlocks new creative and experiential dimensions in the audio industry. The convergence of AI with audio technology promises a future where sound is not only heard but also intelligently shaped and personalized, reshaping our interaction with audio in everyday life.

Best AI Audio Tools in 2024: Final Thoughts

In this exploration of AI in the audio industry, we delved into the remarkable capabilities of tools like ElevenLabs, Descript, Murf.ai, Otter.ai, Speechif, Landr, and Lalal.ai, each offering unique features to revolutionize audio production and editing. As we stand on the brink of further groundbreaking advancements, it’s vital to consider your specific needs when selecting AI audio software. Whether it’s for enhancing sound quality, ease of use, or creative exploration, the right tool can significantly elevate your audio projects. Embrace these innovations and tailor your choice to harness the full potential of AI in audio.

Join the Conversation: Share Your AI Audio Experiences!

Have you tried any of the AI audio tools we’ve discussed, or do you have questions about how they can enhance your audio projects? We’d love to hear from you! Share your experiences, insights, or inquiries in the comments below. Your feedback not only enriches our community’s knowledge but also helps others make informed decisions in the ever-evolving world of AI audio technology. Don’t miss out on this opportunity to be part of a vibrant conversation about the future of sound. Comment now and let’s explore the possibilities together!