Image 23 - Scalable music AI tool for audio utilities

Scalable music AI tool for audio utilities

Image 24 - Scalable music AI tool for audio utilities
About the project

Tunebat is a web-based music AI platform offering a robust suite of tools designed to support and enhance the music creation process. Designed for music creators of all levels, its features include AI-powered vocal removal, key and BPM detection, browser-based mastering, a BPM tapper, and a digital metronome, all accessible from a simple, intuitive interface. Tunebat empowers musicians, producers, and content creators to produce high-quality audio without the need for complex software.

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Client

A music tech company developing innovative web applications used by millions of music fans and creators worldwide. 

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Our role

Full-cycle development: from requirements and architecture to deployment, support, and continuous improvement.

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Country

USA

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Industry

Media & Entertainment 

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Team members

3 team members (2 software engineers, 1 QA engineer) 

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Duration

4 years (ongoing) 

Technologies and tools we used
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C#
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ASP.NET Core
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Python
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Entity Framework
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FFmpeg
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SQL Server
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Azure Blob Storage
Stripe
Stripe API
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Facebook API
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JavaScript
React.js logo
React
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Redux
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Ant Design
Image 42 - Scalable music AI tool for audio utilities
Webpack
Image 43 - Scalable music AI tool for audio utilities
Eslint
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Plausible
Image 45 - Scalable music AI tool for audio utilities
C#
Image 46 - Scalable music AI tool for audio utilities
ASP.NET Core
Image 47 - Scalable music AI tool for audio utilities
Python
Image 48 - Scalable music AI tool for audio utilities
Entity Framework
Image 49 - Scalable music AI tool for audio utilities
FFmpeg
Image 50 - Scalable music AI tool for audio utilities
SQL Server
Image 51 - Scalable music AI tool for audio utilities
Azure Blob Storage
Stripe
Stripe API
Image 52 - Scalable music AI tool for audio utilities
Facebook API
Image 53 - Scalable music AI tool for audio utilities
JavaScript
React.js logo
React
Image 54 - Scalable music AI tool for audio utilities
Redux
Image 55 - Scalable music AI tool for audio utilities
Ant Design
Image 56 - Scalable music AI tool for audio utilities
Webpack
Image 57 - Scalable music AI tool for audio utilities
Eslint
Image 58 - Scalable music AI tool for audio utilities
Plausible
Image 59 - Scalable music AI tool for audio utilities
C#
Image 60 - Scalable music AI tool for audio utilities
ASP.NET Core
Image 61 - Scalable music AI tool for audio utilities
Python
Image 62 - Scalable music AI tool for audio utilities
Entity Framework
Image 63 - Scalable music AI tool for audio utilities
FFmpeg
Image 64 - Scalable music AI tool for audio utilities
SQL Server
Image 65 - Scalable music AI tool for audio utilities
Azure Blob Storage
Stripe
Stripe API
Image 66 - Scalable music AI tool for audio utilities
Facebook API
Image 67 - Scalable music AI tool for audio utilities
JavaScript
React.js logo
React
Image 68 - Scalable music AI tool for audio utilities
Redux
Image 69 - Scalable music AI tool for audio utilities
Ant Design
Image 70 - Scalable music AI tool for audio utilities
Webpack
Image 71 - Scalable music AI tool for audio utilities
Eslint
Image 72 - Scalable music AI tool for audio utilities
Plausible
Image 73 - Scalable music AI tool for audio utilities
Work process

As the platform’s user base expanded, its original architecture could no longer support performance needs or accommodate the client’s vision for AI-enhanced features. Tunebat partnered with Honeycomb Software to redesign the entire platform, improving speed, scalability, and usability while enabling faster development of new tools. 

The Honeycomb Software team took ownership of the full-cycle product development process, from initial planning and system architecture to software engineering, quality assurance, deployment, and support.  

The collaboration began with a full rebuild and redesign of the platform. After a series of discovery sessions with the client’s CTO and daily stand-up meetings with the team, a new architecture was proposed to support improved performance and flexibility. 

The Honeycomb Software team focused on: 

  • Modernizing backend and front-end components. 
  • Delivering new features while ensuring high stability and code quality. 
  • Maintaining two projects, including Spectrr, parallelly based on the client’s evolving priorities. 
  • This agile and collaborative process continues, supported by daily syncs, real-time feedback, and proactive development cycles. 

Throughout the process, quality assurance remained tightly embedded, ensuring reliability at each release stage. 

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Result

The Tunebat platform evolved into a reliable, high-performance toolkit trusted by a wide range of music creators, from hobbyists to professionals. Through close collaboration, iterative development, and a focus on quality, the team delivered several impactful features: 

  • Vocal Remover: An AI-powered tool that cleanly separates vocals from instrumental tracks. 
  • Song Mastering: Automatically optimizes audio playback across all speaker types and devices. 
  • Key & BPM Finder: Allows users to upload tracks and precisely detect their musical key and tempo. 
  • BPM Tapper & Metronome: Simple, browser-based utilities to help users find tempo and stay on beat. 
  • Enhanced Harmonic Mixing Recommendations: Improved guidance for DJs and producers mixing tracks. 
  • Integrated Payment System: Enables seamless access to premium features and services. 

With a solid technical foundation and an ongoing stream of feature enhancements, Tunebat has become a go-to solution for music producers, content creators, and audio professionals around the world. 

Clients’ Reviews

The folks from Honeycomb Software care about the project and are great to work with.

Oliver Reznik
Oliver Reznik Founder, Tunebat & Specterr
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