Audio File Pitch Detector
Instantly find the key and pitch of any song. Upload an MP3, WAV, or other audio file to get a detailed analysis — 100% private and secure.
🎵 Audio File Pitch Analyzer
Upload an audio file to find its key and analyze its pitch
Drag & Drop Your Audio File
or click to browse (supports MP3, WAV, M4A)
Supported Formats & Limits
Our tool is designed to work with the most common audio formats used by musicians and producers.
MP3
A compressed format that offers a great balance between file size and audio quality, making it ideal for general use.
WAV
An uncompressed format that provides the best possible fidelity. It’s the standard for studio-quality recording, though files are larger.
M4A/AAC
A modern compressed format, common on Apple devices, that often provides better quality than MP3s at similar file sizes.
File Size Limit: 30MB
To ensure fast, reliable analysis in your browser without performance issues, uploaded files are limited to 30MB.
How to Use the Analyzer
Get a detailed pitch analysis of your audio file in three simple steps. The entire process is fast, secure, and happens directly in your browser.
1. Upload Your Audio
Drag and drop an MP3, WAV, or M4A file into the upload area, or click the “Select File” button to browse your device.
2. Automatic Analysis
The tool will instantly begin decoding and analyzing the pitch. This process is done 100% locally in your browser for complete data security.
3. Explore the Results
View the pitch contour on the interactive chart, listen back with the playback controls, and see a summary of the key statistics.
Advanced Tips for Better Analysis
Get the most accurate and useful results from the analyzer with these pro tips for file preparation and analysis.
Trim Your Audio Files
For the most accurate “Dominant Note” and “Average” readings, trim any silence, noise, or non-musical intros from your audio file. Analyzing only the core musical content will provide a more focused and precise result.
Use “Re-Analyze”
After an initial analysis, you can change the Algorithm or Sensitivity settings and click “Re-Analyze.” This instantly runs the detection again with the new settings without needing to re-upload the file, allowing you to quickly compare results.
Limitations & Best Practices
Pitch detection is a complex process. Understanding its limitations will help you get the best possible results from the analyzer.
Monophonic vs. Polyphonic
This tool is designed for monophonic audio (a single note at a time). It will struggle with polyphonic audio like chords or full songs with multiple instruments.
Effects & Processing
Heavy effects like reverb, delay, chorus, or distortion can obscure the fundamental frequency and lead to inaccurate results. For best results, analyze a “dry” (unprocessed) audio signal.
Non-Tonal Sounds
The analyzer is designed to find musical pitch. It is not intended for non-tonal or percussive sounds like drum hits, cymbals, or noise, which do not have a clear fundamental frequency.
Algorithm Choice
The YIN algorithm is generally more accurate but slower. Autocorrelation is faster but can be less precise with noisy signals. If you get unclear results, try re-analyzing with the other algorithm.
Primary Use Cases
Our analyzer is a versatile tool for anyone looking to improve their understanding and control of vocal pitch.
Vocal Training
Track your daily practice, work on hitting difficult notes, and monitor your pitch stability to visualize your progress over time.
Teaching & Coaching
Provide students with immediate, objective visual feedback on their intonation and track long-term progress during lessons.
Music Production
Quickly identify the key of a vocal sample or find the fundamental frequency of a sung harmony to help with mixing and composition.
Accuracy & Methodology
Our analyzer uses a proven, industry-standard algorithm to provide reliable pitch detection for vocalists.
Real-World Accuracy
For a clear vocal signal, our tool is accurate to within ±10 cents of a musical note (a tenth of a semitone). This level of precision is ideal for identifying notes and tracking intonation during practice.
View Our Accuracy Tests →YIN Algorithm
The analyzer is powered by the YIN algorithm, a robust method for detecting the fundamental frequency of a signal. It excels at handling the complex harmonics of the human voice, providing more stable results than simpler algorithms.
Learn About Our Methodology →Frequently Asked Questions
Here are some common questions about analyzing pitch from audio files.
This can happen if the audio is polyphonic (contains multiple notes at once), is too noisy, or contains only non-tonal sounds like percussion. Try analyzing a cleaner, monophonic recording for better results. For more help, see our Troubleshooting Guide.
The Dominant Note is the single musical note (C, C#, D, etc.) that appeared most often in the audio, which can help identify the key. The Average Note is the mathematical average of all detected frequencies, which gives you a sense of the recording’s central pitch.
No. Your privacy is our priority. All processing happens 100% locally in your browser using the Web Audio API. Your audio file is never sent to or stored on a server. See our Privacy Policy for more details.
The chart is a visual representation of the audio’s fundamental frequency over time. It allows you to see the melody’s shape, identify vibrato (wavy lines), and spot slides between notes (glissandos). The vertical axis represents pitch (higher is higher), and the horizontal axis represents time.
After a successful analysis, two export buttons will appear. You can download the raw pitch data (time and frequency) as a CSV file for use in spreadsheets or other software, or you can save the pitch contour chart as a PNG image for sharing or reference.
Have more questions? Visit our full FAQ page.