What is Kodai?
Kodai is a mobile application designed to simplify the music creation workflow for musicians. Utilizing state-of-the-art AI technology, specifically Magenta for music processing, the tool accurately transcribes audio recordings of guitar and piano performances into MIDI files. This conversion process significantly reduces the time spent on manual music notation, allowing users to focus more on their creative songwriting.
The application allows users to record directly using their phone or import existing audio files. Once transcribed, the resulting MIDI files can be edited directly within the app using the included MIDI editor. Furthermore, Kodai outputs files in the standard MIDI format, ensuring compatibility with virtually any digital audio workstation (DAW) for further refinement and project integration. The platform also includes helpful practice tools like a metronome, tuner, interactive circle of fifths, and a touchscreen piano.
Features
- AI-Powered Transcription: Converts guitar and piano audio recordings to MIDI using Magenta AI technology.
- MIDI Editor: Includes an in-app editor to modify the transcribed MIDI files.
- Standard MIDI Output: Exports results in standard MIDI format for DAW compatibility.
- Mobile Convenience: Record, transcribe, and edit directly on your phone.
- Practice Tools: Features a built-in metronome, tuner, interactive circle of fifths, and touchscreen piano.
- High Accuracy: AI predicts instrument, pitch, and rhythm with high accuracy.
- Fast Processing: Transcription results are ready in seconds.
Use Cases
- Quickly notating musical ideas captured via audio recording.
- Converting existing guitar or piano recordings into editable MIDI scores.
- Streamlining the songwriting process by automating transcription.
- Practicing instruments using the included tuner and metronome.
- Learning music theory with the interactive circle of fifths.
- Preparing MIDI files for further arrangement in a DAW.
Related Queries
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Kodai Uptime Monitor
Average Uptime
99.7%
Average Response Time
1616.36 ms
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