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spiral
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spiral

Analysers & Metering
$99.00
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Lowest ever: $99.00
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$0$25$50$75$1003 Jul5 Aug7 Sept
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On sale 0% of the last 90 days
Lowest tracked price: $99.00
Highest tracked price: $99.00
Rarely discounted and currently at its lowest tracked price - a genuinely good time to buy.
About

Product Overview

Spiral is a spectral analysis plugin that fundamentally rethinks how producers and engineers visualize audio content. Rather than presenting frequency information in traditional linear or logarithmic displays, it coils the spectrum into a spiral format anchored by a chromatic circle. This approach makes musical relationships immediately apparent, transforming what would otherwise be abstract frequency data into recognizable harmonic patterns.

The plugin's core strength lies in chord and melodic analysis. By mapping frequency content onto a chromatic framework, you can instantly identify which notes are present and their relative amplitudes without mental translation. The stereo color-coding provides additional spatial context, often revealing which instruments occupy which frequency ranges through their distinct hues.

Several complementary features enhance the analytical workflow. A built-in time-stretching system allows recording and playback of passages at reduced speeds ( 0 to 100% ) without pitch shifting, essential for transcription work. Adjustable analysis resolution accommodates different musical contexts, from fast melodic passages to complex harmonic content. Harmonic overlay tools let you generate reference frequencies for specific notes, aiding in identifying difficult-to-hear components within dense mixes. Rotatable visualization helps orient your preferred root note to the top for faster recognition.

Spiral occupies a unique position in the analysis plugin landscape. While traditional spectrum analyzers remain standard, Spiral's musical mapping approach appeals primarily to musicians, music theorists, and engineers dealing with harmonic content rather than general frequency response work. It's particularly valuable for arrangement analysis, orchestration study, and transcription tasks where understanding pitch relationships matters more than absolute frequency response curves.

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