Techivation M-EQ [WiN]

• Product: M-EQ
• Developer: Techivation
• Version: 1.0.1
• Format: VST3
• Requirements: Windows 7 or later
• Source: techivation.com/m-eq

M-EQ is a linear-phase equalizer from Techivation built around three Smart Curve bands — Low, Mid, High — that continuously target the loudest peaks or quietest gaps inside a user-defined frequency range, rather than requiring bands tuned to exact problem frequencies. Each band’s adaptive movement is capped by its own set Gain and Range, which together define the strongest shape the band is ever allowed to take. Per-band saturation, a Mix Assist one-click starting point, and mid-side processing round out the toolset. $129, VST/VST3/AU/AAX, macOS and Windows.

Key Takeaway

M-EQ’s Smart Curve bands never exceed the static Gain and Range you set — the adaptive movement fills or cuts within a ceiling you define, not an open-ended automatic EQ. With only three bands total, a mix needing many simultaneous, independently-targeted surgical cuts across a busy spectrum will run out of bands faster than a traditional multi-band parametric EQ would.

The Band Range Sets the Ceiling

Band Range sets the frequency span a Smart Curve band affects, and that same control also defines the base shape of the band’s curve — the shape the band would have if Smart Curve adaptation were switched off entirely. M-EQ’s adaptive adjustments are confined inside that base shape and never exceed it, so Range functions as both the working area and the outer boundary of everything the band is allowed to do.

Band Gain sets a separate ceiling specifically for how much boost or cut can be applied within that range — Smart Curve dynamically distributes that available gain toward whatever frequencies need it most, but the total applied never exceeds the number set on Gain. Between Range and Gain, a user sets two independent boundaries — where the band can act, and how much it can act by — while Smart Curve decides only how that available movement gets distributed moment to moment.

A user wanting predictable, bounded results sets a conservative Gain and a tight Range and lets Smart Curve work within that small space. Setting a wide Range and a large Gain hands Smart Curve much more room to make substantial changes automatically, which raises the stakes of getting the base shape right in the first place.

Boosts Chase Quiet, Cuts Chase Loud

Band Smart Curve sets how much a band adapts to the incoming signal, from 0% — a fixed, static EQ shape identical to the band’s base Range curve — up to full adaptive behavior. Above 0%, the band continuously measures the energy inside its frequency range and redistributes gain toward the areas that need it most, rather than applying a flat boost or cut evenly across the whole range regardless of what’s happening in the signal at that moment.

That redistribution follows an asymmetric rule: boosts prioritize the least energetic parts of the signal within the range, while cuts focus specifically on removing energy from the loudest peaks. A boost band tends to fill in gaps rather than push already-prominent content louder, and a cut band tends to tame whatever’s spiking rather than uniformly thinning the whole range — different behavior from a static EQ, which affects every frequency in its range by the same fixed amount regardless of what’s loud or quiet at that instant.

Lower Smart Curve values pull the band’s behavior back toward its static base shape, useful when adaptive targeting lands on the wrong material. Full Smart Curve values suit a spectrum that shifts a lot over the course of a track, where a fixed EQ curve set once wouldn’t keep up with what’s actually happening moment to moment.

Eight Times Oversampled, Per Band

Each of M-EQ’s three bands carries its own independent saturation stage, adding harmonic content to that band’s specific frequency range rather than applying one saturation effect across the whole signal. A global Saturation Character control sets the style and intensity for all three bands’ saturation together — higher values produce warmer, more driven saturation, while lower settings deliver subtler thickening instead.

The saturation stage runs with oversampling options up to 8x specifically to keep the added harmonics alias-free, since generating new harmonic content at high settings without adequate oversampling can introduce audible aliasing artifacts that weren’t part of the intended saturation character. Because saturation is applied per band rather than globally, a user can saturate only the low band for warmth on a bass-heavy source while leaving mid and high fully transparent, rather than committing the whole signal to one saturation setting.

Mastering work wanting to stay strictly transparent can leave Saturation Character low or bypass it on bands where added harmonic content isn’t wanted. A mix bus or individual track wanting audible character can push Saturation Character higher on a specific band, using the same EQ move to shape both frequency balance and harmonic color at once instead of reaching for a separate saturation plugin.

The Compensation Ignores What’s Playing

M-EQ’s gain compensation is calculated purely from the EQ settings themselves — the Gain, Range, and Smart Curve values dialed in — rather than analyzing the input signal’s actual level or loudness in real time. That’s a static approach rather than a reactive one: the compensation amount is fixed the moment the settings are fixed, and doesn’t change based on what’s currently passing through the plugin.

The practical consequence is that gain compensation can stay enabled at all times without introducing the pumping or level-jump artifacts a signal-reactive compensation scheme could produce when the input material changes character mid-track. What’s heard when comparing bypassed versus engaged is intended to be a tonal difference from the EQ curve itself, not a loudness difference introduced by the compensation stage reacting differently to quiet versus loud passages.

An engineer doing quick A/B comparisons between EQ settings benefits directly — the comparison stays about tone rather than being muddied by compensation-driven level shifts between the settings being compared. Because compensation is parameter-based rather than signal-based, it also won’t adapt further if the same settings get applied to a very different source than the one they were originally dialed in against.

Mid and Side Get Separate Treatment

M-EQ processes in either left-right or mid-side mode via a global LR|MS toggle, switching what all three Smart Curve bands act on without needing a separate mid-side utility plugin ahead of the EQ. Each band’s Stereo Balance control pans that band’s gain adjustment and saturation between the two channels defined by whichever mode is active — left and right in LR mode, or mid and side in MS mode.

In mid-side mode specifically, Stereo Balance lets a band’s EQ move and saturation apply differently to the centered mono content versus the stereo side information, rather than treating the whole stereo image identically. Narrowing or widening perceived stereo image at a specific frequency range depends on treating mid and side differently at that range, which straight left-right processing can’t do regardless of how the balance control is set.

A mastering engineer widening a mix’s high end without touching the centered vocal or bass gets that specifically from MS mode plus Stereo Balance on the high band. A track with no meaningful stereo content to begin with — a mono source, or one panned hard to one side — gets little practical benefit from switching into MS mode over standard LR processing.

One Smoothing Value for All Three Bands

Every other adaptive parameter on M-EQ — Gain, Smart Curve amount, Range, Saturation, Stereo Balance, Solo, and Bypass — is set per band, with Low, Mid, and High each carrying independent values. Smart Curve Smoothing breaks that pattern: it’s a single control governing the scale of Smart Curve’s dynamic adjustments across all three bands together, rather than a separate smoothing value assignable to each band individually.

Lower Smoothing values produce faster, more surgical corrections that respond quickly to spectral changes; higher values soften that response into something smoother and more musical, at the cost of reacting more slowly to sudden spectral shifts. Because the setting is global, a user wanting fast, surgical response on one band and slow, musical smoothing on another has to choose a single compromise value that serves both, rather than tuning each band’s response speed independently the way every other per-band parameter allows.

The Spectrum Visualiser’s golden curve reflects whatever Smoothing value is currently set across the whole EQ, so watching that curve settle quickly versus drift slowly into shape is the most direct way to see the global Smoothing setting’s effect in real time, even though the number itself lives in one place rather than three.

FAQs