Open Source AI Voice Agent SDK
Integrate voice into your apps with VideoSDK's AI Agents. Connect your chosen LLMs & TTS. Build once, deploy across all platforms.
Star us on GitHubOverview
Chordai is an innovative AI-powered music application that automatically identifies chords, beats, and lyrics for any song with exceptional accuracy. Utilising state-of-the-art deep learning, Chordai delivers instant, precise musical data, removing the need for manual research. It boasts more than 500,000 users and an average rating of 4.7/5 on both the Apple App Store and Google Play Store, making it a trusted tool for musicians and music lovers alike.
How It Works
- Song Input:
- Load songs from YouTube, SoundCloud, your own audio files, or use the device’s microphone for real-time analysis.
- AI-Powered Recognition:
- Employs advanced deep learning to instantly identify chords, track beats/downbeats, and infer the key.
- Advanced Features:
- Comprehensive chord dictionary, instrument separation, audio to MIDI, and high-quality lyrics transcription.
- Instant Access:
- All musical data is provided automatically, streamlining learning, practice, and analysis.
Use Cases
Learn and Play Any Song Instantly
Access accurate chords, beats, and lyrics to quickly learn guitar, piano, or ukulele songs—no manual searching required.
Deep Musical Analysis & Practice
Practise live with real-time chord recognition, beat tracking, and instrument separation to master song structure and performance.
Creative Music Production & Transcription
Convert audio into MIDI, isolate instruments, and transcribe lyrics for easy composing, remixing, and in-depth music study.
Features & Benefits
- Versatile Song Input (YouTube, SoundCloud, audio files, microphone)
- Advanced Chord Recognition (complex chords: major sevenths, dominant sevenths, diminished, augmented, altered dominant)
- Precise Beat Tracking (tempo, beats, bars)
- Accurate Key Recognition (infers key from detected chords)
- Comprehensive Chord Dictionary (guitar, piano, ukulele diagrams)
- Real-time Chord Recognition (microphone input)
- Instrument Separation (audio into 4 stems, exportable)
- Audio to MIDI Conversion (Spotify's Basic Pitch)
- High-Quality Lyrics Recognition (OpenAI Whisper model)
Target Audience
- Aspiring and professional musicians (guitarists, pianists, ukulele players)
- Music students and educators
- Songwriters and music producers
- Anyone learning to play an instrument or seeking to improve musical skills
- Music enthusiasts wanting in-depth understanding
- Users preferring AI-driven solutions over traditional methods
Pricing
Chordai is free to download and use in its basic version. For advanced features, users can subscribe to Chordai Pro with monthly or yearly options. Pricing varies by region (approx. 9 EUR/USD monthly or 69 EUR/USD yearly in the US, Canada, Japan, and Western Europe; generally lower elsewhere). Check the app’s subscription settings for local rates.
FAQs
How does Chordai recognise chords and beats?
Chordai uses recent advances in AI and deep learning algorithms to automatically recognise chords and beats with high accuracy.
What types of songs can I analyse with Chordai?
You can load songs from YouTube, SoundCloud, your audio files, or use your device's microphone for real-time recognition.
Can Chordai identify complex chords?
Yes, the app accurately identifies basic triads, major sevenths, dominant sevenths, diminished, augmented, and even altered dominant chords.
What is the Instrument Separation feature?
Instrument Separation allows you to split original audio into bass, drums, vocals, and other instruments. Mute, solo, or change the volume of each stem and export them as .wav files.
Can I convert audio to MIDI with Chordai?
Yes, Chordai can midify any audio into a MIDI track using Spotify’s Basic Pitch technology.
Does Chordai provide lyrics for songs?
Yes, it uses OpenAI’s Whisper model for accurate speech and lyrics transcription.
Open Source AI Voice Agent SDK
Integrate voice into your apps with VideoSDK's AI Agents. Connect your chosen LLMs & TTS. Build once, deploy across all platforms.
Star us on GitHub