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Upload an audio file to see pitch analysis and a note contour graph.

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Audio file pitch detector

Upload MP3, WAV, or M4A to detect pitch, notes, and Hz locally in your browser. See a pitch curve, cents deviation, and range stats—no server upload.

What is an audio file pitch detector?

An audio file pitch detector reads a recording you already made and identifies musical notes, frequencies in Hz, and cents deviation over time—without a live microphone. Upload MP3, WAV, or M4A and this note detector analyzes the file locally in your browser, then shows a pitch contour graph plus summary stats. For live Hz readings from your mic, use /frequency-detector instead.

Pitch detector features for audio files

Upload a recording and review note names, Hz, and pitch movement.

  1. MP3, WAV, and M4A upload: Drag and drop or pick a file up to 50 MB—common voice-memo and export formats.
  2. Note and Hz output: Each voiced segment maps to a note name, exact Hz, and cents from equal temperament.
  3. Pitch contour graph: Hover the curve to inspect pitch at any moment in the analyzed section.
  4. Range and average stats: See common note, average frequency, detected range, and unique note count.
  5. Local browser processing: Audio decodes and analyzes on your device—files are not uploaded to a server.
  6. Built-in playback: Listen to the same file while you read the detected pitch data.

How to detect pitch from an audio file

Analyze a recording in four steps.

  1. Upload your file: Select or drop MP3, WAV, M4A, or AAC. Use a clear solo vocal or single-instrument take when possible.
  2. Wait for local analysis: The tool decodes the file and scans short windows for fundamental frequency.
  3. Read the pitch curve: Hover the graph to see note, Hz, and cents at each point. Flat lines mean stable pitch.
  4. Copy or upload another: Copy the summary for notes, or reset to analyze a different recording.

Tips for better pitch detection

Improve note detector accuracy on uploaded audio.

  1. Use monophonic audio: One voice or one instrument at a time works best. Full mixes confuse the detector.
  2. Prefer WAV when you can: Uncompressed WAV often gives cleaner readings than low-bitrate MP3.
  3. Reduce background noise: Quiet rooms and dry recordings produce more voiced frames on the graph.
  4. Long files analyze the first two minutes: Very long recordings analyze the opening section to keep the browser responsive.
  5. Pair with live tools: Practice with /frequency-detector on mic, then review takes here—or train recall on /sound-memory-game.
  6. Not pitch correction: This tool diagnoses pitch; it does not change or export corrected audio.

Frequently Asked Questions

Have questions? We have answers.

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