FFT Tool

A fast, browser-based FFT tool for engineers, researchers, students, and hobbyists to analyze the frequency content of signals and visualize spectra.

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About This Tool

The online fft tool provides browser-based computation of the discrete Fourier transform for time-domain data. It targets engineers, researchers, students, and hobbyists who need to analyze spectral content without installing software. Typical use cases include analyzing audio recordings, sensor traces, vibration data, and lab measurements when quick, reproducible spectra are required.
Conceptually, the tool accepts time-domain samples, applies an optional window to reduce leakage, performs an N-point FFT, and returns frequency-domain representations. The frequency axis is defined as f_k = k·Fs/N, where Fs is the sample rate. Outputs include magnitude, phase, and optionally power spectra; there is support for linear or decibel scaling.
The value proposition lies in accessibility, speed, and data portability. Users can paste data, upload CSV, or provide real-valued or complex inputs, compute results in seconds, and export as CSV or JSON for reproducibility. Real-time feedback and multiple transform lengths facilitate quick comparisons across several signals and conditions.
Core features include: input validation; window options (Hann, Hamming, Blackman); zero-padding; real/complex input; multiple channels; export of spectra; optional DC removal; straightforward interpretation of magnitude and phase; no hidden dependencies; suitable for educational demos, signal processing research, and engineering workflows.

How to Use

  1. Provide inputs: paste time-domain samples as an array or upload a CSV/JSON data file; set the sampling rate Fs in Hz.
  2. Configure transform: choose N (points) and window type (none, Hann, Hamming, Blackman).
  3. Select outputs: enable magnitude, phase, and optional dB scaling; choose real-valued or complex input mode.
  4. Run calculation: execute the transform to generate frequency-domain results.
  5. Review outputs: inspect frequency bins, magnitudes, and phases; export as CSV or JSON if needed.
  6. Validate and iterate: adjust N, window, or data length to explore different resolutions.
How to use online fft tool

Frequently Asked Questions

Find Quick Answers

What input data formats are supported?
You can paste numeric samples, upload CSV, or supply JSON arrays. The tool accepts real-valued data or separate real/imag arrays for complex inputs. Data length must be ≥ 2; non-numeric values trigger validation errors to preserve numeric integrity.
How is the frequency axis computed?
The axis is computed as f_k = k * Fs / N for k = 0..N-1, where Fs is the sampling rate and N is the transform length. Padding changes spectral resolution but not the fundamental frequencies present in the data.
How should I interpret magnitude and dB outputs?
Magnitude is the linear amplitude of each frequency bin. The dB output uses 20*log10(magnitude). Use dB when comparing components with large dynamic range; bins with magnitude 0 yield -inf dB and may require flooring in exports.
Can I export or reuse results?
Yes. Results can be exported as CSV or JSON, including frequency, magnitude, and phase arrays, enabling re-import into other tools or plotting environments for further analysis.

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