Audio Pitch Tool

Analyzes uploaded audio to extract pitch content over time, useful for musicians, educators, and audio engineers to verify tuning and transcribe melodies.

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About This Tool

The tool analyzes uploaded audio to extract pitch over time, solving the need for objective pitch data in music workflows. It accepts common audio formats and returns a time-aligned pitch track, including frequency in Hz, musical note, MIDI number, and a confidence score. Conceptually, it segments the audio into frames and estimates the fundamental frequency for each frame using robust DSP algorithms, then maps frequency to musical notes using standard 12-TET. The results enable musicians to verify tuning, transcribe melodies, and perform quality checks in production or education. Beneficiaries include performers, teachers, studio engineers, and QA staff who require repeatable pitch data across sessions. Unique value lies in explicit per-frame pitch with confidence, exportable formats, and batch processing for multiple files. Core features include support for multiple analysis methods (YIN, autocorrelation, FFT), frame and hop size configuration, and JSON/CSV exports for downstream tools. Use cases span tuning verification, melody transcription, competition or audition QC, and classroom demonstrations of pitch stability.

How to Use

  1. Upload an audio file (WAV, MP3, FLAC) to analyze.
  2. Select analysis method (YIN, autocorrelation, or FFT) and adjust optional frame_size and hop_size.
  3. Run analysis to produce per-frame pitch data.
  4. Review outputs: frequency (Hz), note, MIDI, and confidence; export as JSON or CSV.
  5. Apply results to tuning checks, transcription, or quality assurance.
How to use audio pitch tool

Frequently Asked Questions

Find Quick Answers

What is pitch detection?
Pitch detection identifies the fundamental frequency of voiced segments. This tool estimates pitch per time frame using robust DSP algorithms, exporting a time-stamped pitch track with confidence scores.
Which audio formats are supported?
Supported formats include WAV, MP3, and FLAC. Large files may be processed in chunks; unsupported or corrupted files emit clear, non-UI errors.
How accurate is the tool?
Accuracy depends on signal quality, sampling rate, and method chosen. YIN and autocorrelation offer strong performance for common music recordings, with higher confidence indicating reliability.
Can I export results?
Yes; results can be exported as JSON or CSV, enabling integration with transcription pipelines, tuning workflows, and QA dashboards.

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