Piano2notes Mod __link__ Guide

Piano2Notes is an AI-powered music transcription tool developed by

that automatically converts piano audio into written sheet music, MIDI, and MusicXML files. While "mod" often refers to unofficial modified versions of apps (APKs), the official application provides a suite of features designed for pianists, composers, and music teachers. Core Functionality

The app uses artificial intelligence to analyze audio and generate musical notation. Key features include: Audio Inputs

: Users can record performances directly through their device's microphone, upload audio files (MP3, WAV, MP4, MOV), or paste YouTube links to generate transcriptions. AI Transcription

: The system identifies melodies, rhythms, and complex polyphonic chords, even in pieces where other instruments are playing alongside the piano. Export Formats

: Transcriptions can be downloaded as PDF sheet music, quantized or unquantized MIDI files (compatible with DAWs like Ableton Live or Garageband), and MusicXML (compatible with notation software like MuseScore and Sibelius). Google Play Key Features and Tools In-App Sheet Music Editor

: Allows users to manually correct errors, adjust note pitches by dragging, change note durations (dotted notes, triplets), and add ties or rests. Global Settings piano2notes mod

: Users can transpose transcriptions, change time signatures, adjust hand-split points for two-hand piano scores, and modify the metronome or countdown timer. Playback & Visualization

: Features a "Piano Roll" view and a playback cursor that lets users listen to the recognized music while following the score. Cross-Platform Sync

: Transcriptions are stored in a personal "songbook" and can be accessed across mobile devices and a desktop version Important Considerations Приложение «Piano2Notes - App Store - Apple

Unofficial "mod" versions often claim to unlock features that typically require a paid subscription or individual tickets on the official Google Play or Uptodown versions:

Premium Unlocked: Access to "full" transcription features beyond the standard 30-second demo limit.

Unlimited Exports: The ability to download an unlimited number of PDF, MIDI, or MusicXML files. Ad-Free Experience: Removal of in-app advertisements. Capturing input (two workflows)

Unlocked Edit Mode: Access to advanced editing tools for correcting AI-generated notation. Official Feedback and Reporting

If you are experiencing issues with the legitimate app or want to suggest new features (which are sometimes what users seek in "mods"), the developers encourage direct contact:

Bug Reporting: Report errors or "file upload" bugs via support@piano2notes.com.

Feature Requests: Share ideas for new capabilities through their official Discord server or email.

Accuracy Issues: If a transcription has errors, you can use the "Feedback and help" section within the app to report specific notation mistakes.

Warning: Downloading unofficial "MOD APKs" from unverified third-party websites can pose significant security risks, including malware or data theft. For a safe experience, it is recommended to use the official versions from Klangio or the Google Play Store. Piano2Notes - Notes from Piano - Apps on Google Play In-game piano capture

You can use this text for a project description, a forum post, or a software readme.

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Capturing input (two workflows)

1. In-game piano capture

• Place the mod-provided piano block or use the mod’s “capture mode” command (e.g., /p2n capture start).
• Play the piano in-game. The mod records note numbers, timestamps, and velocities.
• Stop capture (e.g., /p2n capture stop). The mod saves a sequence file in mods/piano2notes/recordings.

Example commands:

• /p2n capture start
• /p2n capture stop
• /p2n list-recordings
• /p2n play-recording my_song

2. MIDI capture (external keyboard)

• Connect your MIDI keyboard to your computer.
• In config, set inputMode = "midi" and select midiDevice.
• Start capture with /p2n capture start and play on the real keyboard.
• Stop capture with /p2n capture stop. Recording saved as .p2n or MIDI depending on outputFormat.

5.1 Metrics

• Frame-level: Precision, Recall, F1 (with 50 ms tolerance).
• Note-level: Onset-only F1 (with ±50 ms tolerance) and note-with-pitch F1.

3.2 Onset & Pitch Detection (CRNN)

We use a Convolutional Recurrent Neural Network:

• CNN: 3 layers of 3×3 filters, 32/64/128 channels, batch norm, ReLU, max pooling (2×2).
• RNN: Bidirectional LSTM (2 layers, 256 units each) to capture temporal dependencies.
• Output heads:
  • Onset head: binary classification per time frame (sigmoid).
  • Frame pitch head: 88-way multi-label classification (C4–C8 piano range, sigmoid per note).

Loss function:
L = L_onset + L_frame
where both are binary cross-entropy.

Training uses MAESTRO v3.0 (1286 hours of aligned MIDI + audio). Data augmentation: pitch shift (±2 semitones), time stretch (0.9×–1.1×), and background noise.