AI-Powered Music and Chord Platform
Instead of users merely consuming pre-made content on music platforms, being able to analyze their own music and quickly access the chords they need is becoming a crucial part of next-generation music experiences.
In the Hakoru project, we developed a comprehensive B2C music platform where guitarists can access song chords and lyrics, discover artists and content, and additionally includes AI-powered chord recognition and chord transcription features.
The goal was not just to create a chord archive; it was to combine music discovery, content consumption, and AI-powered music analysis features within the same digital product.
AI-Powered Chord Recognition and Music Transcription
One of Hakoru's most significant technological features is its Chord Recognition infrastructure, which enables AI-powered analysis of chords within music.
Instead of users manually analyzing music or extracting chords one by one, the system allows them to analyze the harmonic structure of music through AI-powered features.
Thanks to this feature, the platform offers an
Analyze music → Detect chords → Match chords over time → Present to the user as a playable structure
workflow, delivering an AI music transcription experience.
This structure adds a new content layer to the platform, allowing user-generated content, unlike traditional chord databases.
Automatic Chord Extraction with Chord Recognition
Manually extracting guitar chords for a song is a time-consuming process, especially for beginner musicians.
The AI chord recognition approach developed in Hakoru provides an infrastructure that analyzes harmonic structures within audio to automatically detect chords.
This technology enables the platform to address various music technology challenges such as:
- Chord recognition
- Automatic chord extraction
- Music analysis
- Audio transcription
- Detecting chord changes
- Time-based chord matching
within the same platform.
From Static Content Site to AI-Powered Product
At its core, Hakoru features a broad song and chord content platform. However, what sets the project apart is how this content infrastructure works alongside AI-powered features.
Users can search for pre-existing chords while also benefiting from the platform's AI-powered capabilities.
Thus, the project combines:
Content platform + B2C web application + AI music technology
into a single product.
Scalable B2C Platform Architecture
Hakoru was not designed as a static website with a fixed number of songs.
Songs, artists, chords, categories, and various content types users interact with were modeled in relation to one another, creating a scalable content platform architecture.
This infrastructure allows new features and AI services to be seamlessly added to the platform.
This approach offers a practical architecture for ventures looking to develop AI-powered B2C products, music platforms, content platforms, and SaaS-like digital products.
SEO-Optimized Music Content Architecture
Organic traffic is a key growth channel for B2C platforms.
In Hakoru, song, artist, and chord content is presented on interconnected yet separate pages, forming a scalable SEO architecture that search engines can understand.
When a new song is added to the system, it doesn’t just create new content within the platform—it also generates a new page that can be discovered by search engines.
This structure lays the foundation for a programmatic and content-focused SEO approach that enhances organic visibility as content grows.
Mobile-First Experience for Musicians
A significant portion of Hakoru's users access the platform while actively making music.
Therefore, ensuring chord and song content is easily readable on mobile devices, enabling quick searches, and allowing users to follow music content while playing guitar were prioritized as core parts of the experience.
The platform was designed responsively to work seamlessly on phones, tablets, and desktop devices.
A Digital Product Combining AI and Content Technology
The primary goal of the Hakoru project was not just to create a 'guitar chord site.'
On one side, there's a continuously growing music content database, and on the other, there are AI-powered music analysis technologies that process this data.
The convergence of these two layers resulted in a more advanced B2C product that provides both ready-made content and music analysis capabilities.
With Hakoru, we combined B2C platform development, custom web application development, and AI-powered music technologies into a single digital product.
The platform offers song and chord discovery, artist content, mobile usability, SEO-focused content architecture, and AI-powered chord recognition / chord transcription features within the same ecosystem.
The result is not just a music content site but a scalable B2C music technology platform where users can discover music, study chords, and analyze music with AI.
This project serves as a strong example of our capabilities, particularly for ventures with needs in AI-powered web applications, music technology, content platforms, B2C platforms, and custom software development.