TAIP

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Tape recordings have a musical quality that digital tracks often lack. TAIP brings you closer to that holy grail. It will add some authentic analog heat to your mixes, without the need to route any audio outside the box.

Tape plugins are not a new concept. However, our emulation method is. Instead of using traditional DSP, we've developed TAIP around an AI algorithm designed to decipher the invisible nuances of complex analog circuits.

The result is a unique, truly faithful, tape emulation, with some new features to accommodate a modern workflow. Use TAIP to add a touch of warmth and glue, or "drive it like you hate it" as an alternative to your distortion plugins.


Effects Plugin

VST2 / VST 3 / AU / AAX

Warm Up Your Sound

About TAIP
Putting the "AI" in TAIP

"AI" is an overused, and often misused term. But we believe it's the future of music technology. It just needs to be used genuinely and with a legitimate purpose.

For a hardware emulation project like TAIP, AI offers an alternative approach over the traditional DSP method. Where a normal DSP emulation would entail "guesstimating" the effect of various analog components and their mutual dependencies, we can use AI / neural networks to accurately decipher the sonic qualities that make a tape machine sound and behave in the way it does.

This happens by feeding an algorithm various training data of dry vs. processed audio and working with it to identify the exact characteristics that make up the difference. Once these differences have been learned by the AI, we can apply them to new audio.

This process may sound overly digital for a plugin that brings an analog sound. But the reality is that analog and digital are two fundamentally different domains, and to get a computer to behave (or sound!) in a certain way, it helps to think like it does.

Re-creating an analog-style signal path in DSP is thinking bout the problem like a human. The AI approach helps us solve the problem like a machine would, for a more faithful emulation.

Putting the "AI" in TAIP

"AI" is an overused, and often misused term. But we believe it's the future of music technology. It just needs to be used genuinely and with a legitimate purpose.

For a hardware emulation project like TAIP, AI offers an alternative approach over the traditional DSP method. Where a normal DSP emulation would entail "guesstimating" the effect of various analog components and their mutual dependencies, we can use AI / neural networks to accurately decipher the sonic qualities that make a tape machine sound and behave in the way it does.

This happens by feeding an algorithm various training data of dry vs. processed audio and working with it to identify the exact characteristics that make up the difference. Once these differences have been learned by the AI, we can apply them to new audio.

This process may sound overly digital for a plugin that brings an analog sound. But the reality is that analog and digital are two fundamentally different domains, and to get a computer to behave (or sound!) in a certain way, it helps to think like it does.

Re-creating an analog-style signal path in DSP is thinking bout the problem like a human. The AI approach helps us solve the problem like a machine would, for a more faithful emulation.

Listen to TAIP

Audio Demo 1
Audio Demo 2
Audio Demo 3
Audio Demo 4
Audio Demo 5
Audio Demo 6
Audio Demo 7
Audio Demo 8

Videos

Reviews

Greg Wwells

Producer for Adele, Dua Lipa, John Legend, Taylor Swift


"TAIP is absolutely wonderful. I am loving, loving, loving using it. It's like my favourite elements of every other tape plugin, but much easier and faster to use, and....sounds better."

David Nakaji

Grammy nominated mix engineer for Post Malone, Doja Cat, Glass Animals


"After hearing the distortion circuit, the very first thing I thought was F*CK using this thing as a tape machine. "

Dacota G

Grammy awarded engineer for Childish Gambino, Usher, Diplo


"TAIP is a great tool to add weight, dimension and character to any sound. "

Technical Information

Please carefully read the system requirements before purchasing this product.

Download Manual (PDF)

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