Convert Audio to MIDI
Transform any audio recording into MIDI with browser-based AI. Supports voice, guitar, piano, and any instrument. No uploads required—all processing happens locally in your browser.
Drop your audio file here or click to select
Supports MP3, WAV, OGG, FLAC (max 50MB)
What is Audio to MIDI Conversion?
AI-Powered Music Transcription Technology
Audio to MIDI conversion transforms recordings of real instruments into editable MIDI data. Using machine learning trained on millions of musical examples, our converter analyzes frequencies, timing, and dynamics to accurately transcribe notes, chords, and expressive techniques like pitch bends. The global music production software market reached $525.6 million in 2024 (Source: Global Growth Insights), with AI-powered transcription tools becoming essential for modern producers. Over 35% of music creators now integrate AI tools into their workflows.
Polyphonic Transcription
Our converter handles multiple notes simultaneously, accurately transcribing full chord progressions and complex harmonies. Whether you're processing piano recordings with dense chords or guitar performances with multiple voices, the AI engine captures every note with precision.
Pitch Bend Detection
Unlike basic transcription tools, we detect and preserve expressive pitch information. Guitar bends, vocal slides, and vibrato are captured as MIDI pitch bend data, ensuring transcriptions retain the emotional nuances of the original performance.
Works with Any Instrument
This converter processes voice, guitar, piano, bass, violin, saxophone, and virtually any tonal instrument. The AI model was trained on diverse musical data, making it versatile enough for any genre from classical to electronic music production.
Browser-Based Processing
Your audio never leaves your device. The converter runs entirely in your browser using WebAssembly and TensorFlow.js, providing fast conversion without server uploads. Your music stays private while you get instant results.
Adjustable Parameters
Fine-tune your conversion with adjustable parameters. Control note segmentation sensitivity, model confidence thresholds, pitch range filters, minimum note length, and output tempo. These settings help optimize results for different instruments and musical styles.
100% Free to Use
Our audio to MIDI converter is completely free with no hidden costs or usage limits. Convert as many files as you need. Professional-grade transcription is now accessible to every musician, producer, and composer.
How to Convert Audio to MIDI
Transcribe Any Recording in 4 Simple Steps
Upload Your Audio File
Drag and drop or click to upload your audio file. We support MP3, WAV, OGG, and FLAC formats up to 50MB. You can also record audio directly from your microphone for instant conversion.
AI Analyzes Your Audio
Our converter uses machine learning to analyze the frequencies and timing in your recording. The AI processes everything locally in your browser, detecting notes, velocities, and pitch variations with high accuracy.
Review the MIDI Output
View your transcription in the interactive piano roll visualizer. See every detected note with precise timing and velocity. Play back the MIDI with high-quality piano sounds to verify conversion accuracy.
Adjust Settings & Download
Fine-tune results using the adjustment panel. Modify note segmentation, confidence thresholds, pitch range, and tempo. Download the MIDI file to use in your DAW for editing, arrangement, or sound replacement.
Audio to MIDI Technology Explained
How AI Powers Audio to MIDI Conversion
Our audio to MIDI converter uses advanced machine learning to analyze audio signals and extract musical information. The AI model processes mel spectrograms and applies deep neural networks trained on millions of musical examples to accurately detect pitch, timing, and dynamics. Understanding audio to MIDI technology helps you get better results from your conversions.
Neural Network Audio to MIDI
The audio to MIDI converter uses convolutional neural networks (CNNs) to analyze frequency patterns in your recordings. These networks were trained on diverse musical datasets, enabling accurate audio to MIDI transcription across genres. The deep learning approach outperforms traditional signal processing methods, especially for complex polyphonic audio to MIDI conversion scenarios.
Mel Spectrogram Analysis
Before audio to MIDI conversion begins, your recording is transformed into a mel spectrogram—a visual representation of frequencies over time. This preprocessing step helps the audio to MIDI AI identify note patterns that would be difficult to detect in raw waveforms. The mel scale mimics human hearing perception, improving audio to MIDI accuracy for musical content.
Frame-Level Note Detection
The audio to MIDI engine processes audio in small frames, typically 11.6 milliseconds each. For every frame, the AI predicts which notes are active, their velocities, and whether new notes are beginning. This granular audio to MIDI analysis enables precise timing in the transcribed output, capturing rapid passages and subtle rhythmic nuances.
Pitch Bend Extraction
Unlike basic audio to MIDI tools that only output discrete notes, our converter extracts continuous pitch information. Guitar string bends, vocal slides, and vibrato are captured as MIDI pitch bend messages. This advanced audio to MIDI feature preserves the expressive qualities that make performances musical rather than mechanical.
Onset and Offset Detection
Accurate audio to MIDI conversion requires precise identification of when notes begin and end. The AI uses separate onset detection to mark note attacks, ensuring audio to MIDI transcriptions have correct rhythmic timing. Offset detection determines note releases, which is essential for audio to MIDI accuracy in sustained passages and legato playing.
Confidence Thresholds
Every audio to MIDI prediction includes a confidence score. You can adjust the threshold to balance between detecting more notes (lower threshold) or fewer false positives (higher threshold). This audio to MIDI parameter lets you optimize results for different recording qualities and musical complexity levels.
Audio to MIDI FAQ
Common Questions About Audio to MIDI Conversion