SPL Distance Calculator

Calculate SPL loss over distance and multi-source level summation. Free inverse square law calculator for speakers and live sound.

How this calculator works

The SPL Distance Calculator estimates how sound level changes when you move farther from a source—or when you add identical coherent sources. Live sound engineers use it for quick level checks at FOH, fill positions, and safety planning without opening a spreadsheet.

Point sources follow inverse-square law in free field (−6 dB per doubling). Line-source segments approximate cylindrical spreading (−3 dB per doubling). Rooms add reflections and absorption, so results are guides; measure with an SPL meter when compliance or gain structure matters.

Formula used

Level change (dB) = 10 × n × log₁₀(new distance / reference distance), where n = 2 for a point source and n = 1 for a line source model. Multiple coherent sources add 10×log₁₀(count) dB.

Example calculation

100 dB at 1 m, point source, new distance 10 m: ratio 10 → loss = 10 × 2 × log₁₀(10) = 20 dB → about 80 dB at 10 m. Two identical coherent sources add ≈ 3 dB → about 83 dB.

Key terms

  • SPL — sound pressure level in dB re 20 µPa.
  • Point source — spherical spreading; −6 dB per distance doubling in free field.
  • Line source — cylindrical spreading model; −3 dB per doubling.
  • Coherent summation — identical signals arriving in phase add in pressure.

Frequently asked questions

  • How much level do you lose when distance doubles? About 6 dB for a point source in free field, or about 3 dB for the line-source model used here.
  • When should I use point vs line source? Use point for a single box or short array; use line for a long, continuous line array segment where cylindrical spreading dominates.
  • Do reflections change SPL loss over distance? Yes. Indoors, level often falls slower than inverse square because of room gain and standing waves.
  • How are multiple speakers summed? Identical coherent sources add 10×log₁₀(n) dB. Real arrays include phase, splay, and filtering—not just power sum.