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RMS Calculator

This free RMS calculator converts between peak, RMS, peak-to-peak and average for common waveforms — with the crest factor — or computes the RMS of a list of values you paste in.

RMS (root mean square) is the equivalent steady value that carries the same power as a varying signal — it’s what tracks loudness and heating. The waveform conversions assume an ideal, symmetric sine, square, triangle or sawtooth. This is a calculator, not a measurement.

Peak ↔ RMS ↔ peak-to-peak

Edit any field — the others update. Values are unitless (use them as volts, amps, etc.).

Waveform factors (relative to peak)

For a symmetric waveform of peak amplitude 1. Crest factor = peak ÷ RMS.

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How RMS Works

RMS (root mean square) of a signal is the square root of the mean of its squared values: RMS = √(mean(x²)). It matters because the power delivered (and the heating, and roughly the perceived loudness) depends on the square of the amplitude — so RMS is the single number that represents a varying signal’s "equivalent steady" level. A 1 V RMS AC voltage delivers the same power to a resistor as 1 V DC. This is the foundation of how AC power grids specify their nominal voltages: mains electricity at 120 V or 230 V is an RMS value — the actual peak voltage swings to ±170 V or ±325 V respectively.

For a pure sine wave, the peak to RMS conversion is simply divide by √2 (≈ 0.707 × peak), and RMS to peak is multiply by √2. The ratio of peak to RMS is the crest factor (√2 ≈ 1.414 for a sine). Different shapes have different factors: a square wave has RMS = peak (crest 1), while triangle and sawtooth waves have RMS = peak ÷ √3 ≈ 0.577 (crest √3 ≈ 1.732). For audio signals, crest factor relates directly to headroom — the gap between the average (RMS) level and the instantaneous peak that must not clip. To measure how loud a signal actually sounds relative to full scale, see the decibel meter for a live dBFS reading.

Why the waveform matters

The simple "× 0.707" rule only applies to sine waves. The waveform RMS depends on the shape: real signals — music, speech, clipped or compressed audio — have their own crest factors that change with processing (dynamic range compression lowers the crest factor; sharp transients and unprocessed speech raise it). Heavily limited broadcast audio might have a crest factor as low as 1.5, while an orchestral recording can reach 6 or more. To get the true RMS of an arbitrary signal you must square every sample, average, and take the root — which is exactly what the "RMS of values" mode does for data you paste in. The audio spectrum analyzer can give you a visual sense of a signal's energy distribution across frequency, which complements the single-number RMS view.

Frequently Asked Questions

What is RMS in simple terms?
It’s the "equivalent steady" value of a changing signal — the constant level that would deliver the same power. For audio it tracks loudness; for AC electricity it’s the voltage that does the same work as that much DC.
How do I convert peak to RMS?
For a sine wave, divide the peak by √2 (multiply by about 0.707). For other shapes use their factor: square = ×1, triangle/sawtooth = ÷√3 (×0.577). The Waveform mode does this for you in both directions.
What is crest factor?
The ratio of peak to RMS (peak ÷ RMS). A sine’s is √2 ≈ 1.414; a square wave’s is 1; speech and music are higher and vary. A high crest factor means big transients relative to the average level.
What’s the difference between RMS and average?
Average usually means the rectified mean (mean of the absolute value). It’s smaller than RMS for most shapes — for a sine, average ≈ 0.637 × peak versus RMS ≈ 0.707 × peak. RMS is the power-relevant one; the ratio RMS ÷ average is the form factor.
Can I get the RMS of any waveform with × 0.707?
No — that factor is only for sine waves. For an arbitrary or real-world signal you must square each sample, take the mean, then the square root. Paste your samples into the "RMS of values" mode to do exactly that.
Does this measure my audio?
No. It only computes from numbers you enter. For a live RMS level from your microphone, use our Decibel Meter (which shows a relative dBFS reading).
What is the difference between RMS watts and peak watts for amplifiers and speakers?
RMS watts (also called "continuous power") is the power rating based on the RMS voltage or current — it represents the sustained heating power the amplifier can deliver and the speaker can safely absorb. Peak watts is the instantaneous maximum, typically 2× RMS for a sine wave (because peak voltage is √2 × RMS voltage, and power scales as voltage squared). Marketing sometimes inflates speaker specs by quoting peak power. When comparing amplifiers or speakers, always compare RMS watt ratings. Use the waveform tab here to convert a peak voltage to its RMS equivalent, then apply P = V² / R to get RMS power.
How do I find the RMS of a signal that has both AC and DC components?
Use the "RMS of values" tab and paste in your sampled data points — the formula √(mean(x²)) naturally includes any DC offset because it squares every sample before averaging. For the analytical case: if a signal has DC component V_dc and AC component with RMS V_ac, total RMS = √(V_dc² + V_ac²). This matters in power electronics and audio where a bias voltage sits on top of a varying signal. A multimeter's "AC+DC" RMS mode does the same measurement.
What is RMS voltage on a multimeter, and why use it instead of peak?
A true-RMS multimeter computes √(mean(v²)) over many samples, giving the voltage that would deliver the same heating power to a resistor as an equivalent DC voltage. Cheaper meters use the "average-responding" method scaled for a sine (×1.1107) — accurate for sine waves but wrong for distorted or non-sinusoidal signals (motor drives, dimmers, switching supplies). For those loads, a true-RMS meter can read 20–40% higher than an average-responding one. Always use a true-RMS meter when measuring non-sinusoidal AC, such as the output of a frequency generator driving a non-linear load.