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Deep Vintage is a suite of legendary hardware simulation plugins that will immerse you in real analog magic. Not merely pursuing bona fide circuit replication or specific tonal qualities, Deep Vintage simulates the entirety of sound to reproduce the vintage "soul" in a digital world. Depth, sheen, low-end saturation...every nuance of the hardware's sonic spirit is ready for you to ignite, with minimal CPU usage and latency.

APNN 2.0
Trained with Three-Body Tech's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage learns on sound, and sound alone, creating an indistinguishable listening experience from the original hardwares.
APNN 2.0 is a neural network specializes in simulating analog hardwares. During the training process, APNN 2.0 and the hardware will be inputted with the same audio, and APNN 2.0 will learn how the hardware changes the audio in both waveform and spectrum dimensions. This means that a well-trained APNN 2.0 instance can capture both the dynamic and tonal characteristics of its source hardware. The following diagram demonstrates how, as training progresses, APNN 2.0's waveform and spectrum response deviation gradually decrease, eventually becoming indistinguishable from that of the original hardware. Check out the corresponding demos below to hear how APNN 2.0 progressively learns and replicates the sound of the hardware.
After an APNN 2.0 instance completes its training, we conduct rigorous human testing and make adjustments until our entire team fails the ABX test. This allows us to proudly announce:
in the realm of digital audio, nothing comes closer to real hardware than Deep Vintage.
Tube Shelf
Inspired by one of the most iconic and musical program EQs of all time, Tube Shelf faithfully emulates the EQ characteristics and unique tonal coloration of the original tube electronics.
The Tube Shelf module is primarily used to adjust low and high frequencies. With relatively few frequency band options, it is often paired with other EQs for more detailed tonal shaping, most commonly with Tube Bell and Tube Filter modules (see below).
Highlights
Multiplex Saturation, Multistage Coloration
With the power of APNN 2.0, Deep Vintage simulates not just specific frequency responses or coloration, but all the subtle 'hardware mojos': dynamics, airness, phase shifts, tube voltage sag, transformer's "iron sound," and more. Whether for subtle coloration, moderate saturation, or crushing the entire audio, its authentic performance will make you forget it's digital.
Independent Harmonics Control
With real hardware, the amount of harmonics is fixed at a given knob setting. However, Deep Vintage introduces surreal flexibility by allowing independent control over harmonics, separate from all other tonal characteristics. This lets you dial in the sonic power of high drive settings while maintaining the purity of a clean tone.
Low Frequency Saturation
The 'iron' sound of audio transformers-gently added low-end girth and saturation-epitomizes the sonic character of real hardware. Deep Vintage not only accurately captures this, but also provides you with the ability to toggle this 'iron' sound on or off, allowing you to switch between transformer or transformer-less versions. Whether you're aiming for a thick or clear tone, it always delivers with exceptional quality.
Re-sampling/Up-sampling
Almost all audio processing networks operates in fixed sample rates, but we've made resampling possible by optimizing our networks. The completely redesigned resampling algorithm in Deep Vintage ensures consistent accuracy and fidelity across all sample rates, making the simulation fully sample rate agnostic. Additionally, up to 8x oversampling is supported, effectively eliminating any aliasing issues.
EQ Co-training
Most neural networks can only capture discrete states of the hardware, thus providing only limited EQ combinations. However, Deep Vintage uniquely supports fully continous EQ adjustment through extra EQ simulations. For models with EQ, the "co-training algorithm" simultaneously learns the hardware prototype's saturation characteristics while fine-tuning a pre-modeled EQ module based on the circuit. This allows you to enjoy the authentic hardware sound while having complete freedom over EQ adjustment.
Tape Wow/Flutter Co-training
Wow/Flutter are pitch variations that occur in tape machines due to mechanical inconsistencies in the tape transport system. Wow refers to slower, more noticeable pitch fluctuations, while flutter on the other hand, is a faster form of speed variation.
Just like EQ co-training, APNN 2.0 uses a physically modeled wow/flutter simulation and co-trains it with the neural network. This not only makes the results of neural network training sound more authentic but also brings the modeled wow/flutter effect closer to the original hardware.
Adjustable Noise Floor
The Deep Vintage series simulates the hardware's inherent noise floor, which you can adjust in amount as needed.
"Retro DAW" Simulation
This button is inspired by the extremely subtle changes (less than -140 dB) introduced by a classic DAW from around the year 2000. While the changes are infinitesimal, we didn't overlook them. You can enable or disable this feature as needed.
Low CPU usage
No need for expensive cloud-based GPU clusters-Deep Vintage runs locally just like any other plugin, with extremely low CPU usage. You can easily insert it on every track!
More Features
* Apple silicon native support
* Undo/redo
* A/B switching
* Input/output level meter
* Mono mode
* LR/MS processing
* Phase invert
* GUI re-scaling
Latency
26 sample points, about 0.6ms at 44100 Hz
Home Page -

https://www.threebodytech.com/en/products/deepvintage

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Free Download Three-Body Tech DV TapeM v1.0.3 | 39.5 Mb
Deep Vintage is a suite of legendary hardware simulation plugins that will immerse you in real analog magic. Not merely pursuing bona fide circuit replication or specific tonal qualities, Deep Vintage simulates the entirety of sound to reproduce the vintage "soul" in a digital world. Depth, sheen, low-end saturation...every nuance of the hardware's sonic spirit is ready for you to ignite, with minimal CPU usage and latency.

APNN 2.0
Trained with Three-Body Tech's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage learns on sound, and sound alone, creating an indistinguishable listening experience from the original hardwares.
APNN 2.0 is a neural network specializes in simulating analog hardwares. During the training process, APNN 2.0 and the hardware will be inputted with the same audio, and APNN 2.0 will learn how the hardware changes the audio in both waveform and spectrum dimensions. This means that a well-trained APNN 2.0 instance can capture both the dynamic and tonal characteristics of its source hardware. The following diagram demonstrates how, as training progresses, APNN 2.0's waveform and spectrum response deviation gradually decrease, eventually becoming indistinguishable from that of the original hardware. Check out the corresponding demos below to hear how APNN 2.0 progressively learns and replicates the sound of the hardware.
After an APNN 2.0 instance completes its training, we conduct rigorous human testing and make adjustments until our entire team fails the ABX test. This allows us to proudly announce:
in the realm of digital audio, nothing comes closer to real hardware than Deep Vintage.
Tube Shelf
Inspired by one of the most iconic and musical program EQs of all time, Tube Shelf faithfully emulates the EQ characteristics and unique tonal coloration of the original tube electronics.
The Tube Shelf module is primarily used to adjust low and high frequencies. With relatively few frequency band options, it is often paired with other EQs for more detailed tonal shaping, most commonly with Tube Bell and Tube Filter modules (see below).
Highlights
Multiplex Saturation, Multistage Coloration
With the power of APNN 2.0, Deep Vintage simulates not just specific frequency responses or coloration, but all the subtle 'hardware mojos': dynamics, airness, phase shifts, tube voltage sag, transformer's "iron sound," and more. Whether for subtle coloration, moderate saturation, or crushing the entire audio, its authentic performance will make you forget it's digital.
Independent Harmonics Control
With real hardware, the amount of harmonics is fixed at a given knob setting. However, Deep Vintage introduces surreal flexibility by allowing independent control over harmonics, separate from all other tonal characteristics. This lets you dial in the sonic power of high drive settings while maintaining the purity of a clean tone.
Low Frequency Saturation
The 'iron' sound of audio transformers-gently added low-end girth and saturation-epitomizes the sonic character of real hardware. Deep Vintage not only accurately captures this, but also provides you with the ability to toggle this 'iron' sound on or off, allowing you to switch between transformer or transformer-less versions. Whether you're aiming for a thick or clear tone, it always delivers with exceptional quality.
Re-sampling/Up-sampling
Almost all audio processing networks operates in fixed sample rates, but we've made resampling possible by optimizing our networks. The completely redesigned resampling algorithm in Deep Vintage ensures consistent accuracy and fidelity across all sample rates, making the simulation fully sample rate agnostic. Additionally, up to 8x oversampling is supported, effectively eliminating any aliasing issues.
EQ Co-training
Most neural networks can only capture discrete states of the hardware, thus providing only limited EQ combinations. However, Deep Vintage uniquely supports fully continous EQ adjustment through extra EQ simulations. For models with EQ, the "co-training algorithm" simultaneously learns the hardware prototype's saturation characteristics while fine-tuning a pre-modeled EQ module based on the circuit. This allows you to enjoy the authentic hardware sound while having complete freedom over EQ adjustment.
Tape Wow/Flutter Co-training
Wow/Flutter are pitch variations that occur in tape machines due to mechanical inconsistencies in the tape transport system. Wow refers to slower, more noticeable pitch fluctuations, while flutter on the other hand, is a faster form of speed variation.
Just like EQ co-training, APNN 2.0 uses a physically modeled wow/flutter simulation and co-trains it with the neural network. This not only makes the results of neural network training sound more authentic but also brings the modeled wow/flutter effect closer to the original hardware.
Adjustable Noise Floor
The Deep Vintage series simulates the hardware's inherent noise floor, which you can adjust in amount as needed.
"Retro DAW" Simulation
This button is inspired by the extremely subtle changes (less than -140 dB) introduced by a classic DAW from around the year 2000. While the changes are infinitesimal, we didn't overlook them. You can enable or disable this feature as needed.
Low CPU usage
No need for expensive cloud-based GPU clusters-Deep Vintage runs locally just like any other plugin, with extremely low CPU usage. You can easily insert it on every track!
More Features
* Apple silicon native support
* Undo/redo
* A/B switching
* Input/output level meter
* Mono mode
* LR/MS processing
* Phase invert
* GUI re-scaling
Latency
26 sample points, about 0.6ms at 44100 Hz
Home Page -

https://www.threebodytech.com/en/products/deepvintage

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Free Download Three-Body Tech DV TapeS v1.0.3 | 41.2 Mb
Deep Vintage is a suite of legendary hardware simulation plugins that will immerse you in real analog magic. Not merely pursuing bona fide circuit replication or specific tonal qualities, Deep Vintage simulates the entirety of sound to reproduce the vintage "soul" in a digital world. Depth, sheen, low-end saturation...every nuance of the hardware's sonic spirit is ready for you to ignite, with minimal CPU usage and latency.

APNN 2.0
Trained with Three-Body Tech's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage learns on sound, and sound alone, creating an indistinguishable listening experience from the original hardwares.
APNN 2.0 is a neural network specializes in simulating analog hardwares. During the training process, APNN 2.0 and the hardware will be inputted with the same audio, and APNN 2.0 will learn how the hardware changes the audio in both waveform and spectrum dimensions. This means that a well-trained APNN 2.0 instance can capture both the dynamic and tonal characteristics of its source hardware. The following diagram demonstrates how, as training progresses, APNN 2.0's waveform and spectrum response deviation gradually decrease, eventually becoming indistinguishable from that of the original hardware. Check out the corresponding demos below to hear how APNN 2.0 progressively learns and replicates the sound of the hardware.
After an APNN 2.0 instance completes its training, we conduct rigorous human testing and make adjustments until our entire team fails the ABX test. This allows us to proudly announce:
in the realm of digital audio, nothing comes closer to real hardware than Deep Vintage.
Tube Shelf
Inspired by one of the most iconic and musical program EQs of all time, Tube Shelf faithfully emulates the EQ characteristics and unique tonal coloration of the original tube electronics.
The Tube Shelf module is primarily used to adjust low and high frequencies. With relatively few frequency band options, it is often paired with other EQs for more detailed tonal shaping, most commonly with Tube Bell and Tube Filter modules (see below).
Highlights
Multiplex Saturation, Multistage Coloration
With the power of APNN 2.0, Deep Vintage simulates not just specific frequency responses or coloration, but all the subtle 'hardware mojos': dynamics, airness, phase shifts, tube voltage sag, transformer's "iron sound," and more. Whether for subtle coloration, moderate saturation, or crushing the entire audio, its authentic performance will make you forget it's digital.
Independent Harmonics Control
With real hardware, the amount of harmonics is fixed at a given knob setting. However, Deep Vintage introduces surreal flexibility by allowing independent control over harmonics, separate from all other tonal characteristics. This lets you dial in the sonic power of high drive settings while maintaining the purity of a clean tone.
Low Frequency Saturation
The 'iron' sound of audio transformers-gently added low-end girth and saturation-epitomizes the sonic character of real hardware. Deep Vintage not only accurately captures this, but also provides you with the ability to toggle this 'iron' sound on or off, allowing you to switch between transformer or transformer-less versions. Whether you're aiming for a thick or clear tone, it always delivers with exceptional quality.
Re-sampling/Up-sampling
Almost all audio processing networks operates in fixed sample rates, but we've made resampling possible by optimizing our networks. The completely redesigned resampling algorithm in Deep Vintage ensures consistent accuracy and fidelity across all sample rates, making the simulation fully sample rate agnostic. Additionally, up to 8x oversampling is supported, effectively eliminating any aliasing issues.
EQ Co-training
Most neural networks can only capture discrete states of the hardware, thus providing only limited EQ combinations. However, Deep Vintage uniquely supports fully continous EQ adjustment through extra EQ simulations. For models with EQ, the "co-training algorithm" simultaneously learns the hardware prototype's saturation characteristics while fine-tuning a pre-modeled EQ module based on the circuit. This allows you to enjoy the authentic hardware sound while having complete freedom over EQ adjustment.
Tape Wow/Flutter Co-training
Wow/Flutter are pitch variations that occur in tape machines due to mechanical inconsistencies in the tape transport system. Wow refers to slower, more noticeable pitch fluctuations, while flutter on the other hand, is a faster form of speed variation.
Just like EQ co-training, APNN 2.0 uses a physically modeled wow/flutter simulation and co-trains it with the neural network. This not only makes the results of neural network training sound more authentic but also brings the modeled wow/flutter effect closer to the original hardware.
Adjustable Noise Floor
The Deep Vintage series simulates the hardware's inherent noise floor, which you can adjust in amount as needed.
"Retro DAW" Simulation
This button is inspired by the extremely subtle changes (less than -140 dB) introduced by a classic DAW from around the year 2000. While the changes are infinitesimal, we didn't overlook them. You can enable or disable this feature as needed.
Low CPU usage
No need for expensive cloud-based GPU clusters-Deep Vintage runs locally just like any other plugin, with extremely low CPU usage. You can easily insert it on every track!
More Features
* Apple silicon native support
* Undo/redo
* A/B switching
* Input/output level meter
* Mono mode
* LR/MS processing
* Phase invert
* GUI re-scaling
Latency
26 sample points, about 0.6ms at 44100 Hz
Home Page -

https://www.threebodytech.com/en/products/deepvintage

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Free Download Three-Body Tech DV ThickPre v1.0.3 | 39.2 Mb
Deep Vintage is a suite of legendary hardware simulation plugins that will immerse you in real analog magic. Not merely pursuing bona fide circuit replication or specific tonal qualities, Deep Vintage simulates the entirety of sound to reproduce the vintage "soul" in a digital world. Depth, sheen, low-end saturation...every nuance of the hardware's sonic spirit is ready for you to ignite, with minimal CPU usage and latency.

APNN 2.0
Trained with Three-Body Tech's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage learns on sound, and sound alone, creating an indistinguishable listening experience from the original hardwares.
APNN 2.0 is a neural network specializes in simulating analog hardwares. During the training process, APNN 2.0 and the hardware will be inputted with the same audio, and APNN 2.0 will learn how the hardware changes the audio in both waveform and spectrum dimensions. This means that a well-trained APNN 2.0 instance can capture both the dynamic and tonal characteristics of its source hardware. The following diagram demonstrates how, as training progresses, APNN 2.0's waveform and spectrum response deviation gradually decrease, eventually becoming indistinguishable from that of the original hardware. Check out the corresponding demos below to hear how APNN 2.0 progressively learns and replicates the sound of the hardware.
After an APNN 2.0 instance completes its training, we conduct rigorous human testing and make adjustments until our entire team fails the ABX test. This allows us to proudly announce:
in the realm of digital audio, nothing comes closer to real hardware than Deep Vintage.
Tube Shelf
Inspired by one of the most iconic and musical program EQs of all time, Tube Shelf faithfully emulates the EQ characteristics and unique tonal coloration of the original tube electronics.
The Tube Shelf module is primarily used to adjust low and high frequencies. With relatively few frequency band options, it is often paired with other EQs for more detailed tonal shaping, most commonly with Tube Bell and Tube Filter modules (see below).
Highlights
Multiplex Saturation, Multistage Coloration
With the power of APNN 2.0, Deep Vintage simulates not just specific frequency responses or coloration, but all the subtle 'hardware mojos': dynamics, airness, phase shifts, tube voltage sag, transformer's "iron sound," and more. Whether for subtle coloration, moderate saturation, or crushing the entire audio, its authentic performance will make you forget it's digital.
Independent Harmonics Control
With real hardware, the amount of harmonics is fixed at a given knob setting. However, Deep Vintage introduces surreal flexibility by allowing independent control over harmonics, separate from all other tonal characteristics. This lets you dial in the sonic power of high drive settings while maintaining the purity of a clean tone.
Low Frequency Saturation
The 'iron' sound of audio transformers-gently added low-end girth and saturation-epitomizes the sonic character of real hardware. Deep Vintage not only accurately captures this, but also provides you with the ability to toggle this 'iron' sound on or off, allowing you to switch between transformer or transformer-less versions. Whether you're aiming for a thick or clear tone, it always delivers with exceptional quality.
Re-sampling/Up-sampling
Almost all audio processing networks operates in fixed sample rates, but we've made resampling possible by optimizing our networks. The completely redesigned resampling algorithm in Deep Vintage ensures consistent accuracy and fidelity across all sample rates, making the simulation fully sample rate agnostic. Additionally, up to 8x oversampling is supported, effectively eliminating any aliasing issues.
EQ Co-training
Most neural networks can only capture discrete states of the hardware, thus providing only limited EQ combinations. However, Deep Vintage uniquely supports fully continous EQ adjustment through extra EQ simulations. For models with EQ, the "co-training algorithm" simultaneously learns the hardware prototype's saturation characteristics while fine-tuning a pre-modeled EQ module based on the circuit. This allows you to enjoy the authentic hardware sound while having complete freedom over EQ adjustment.
Tape Wow/Flutter Co-training
Wow/Flutter are pitch variations that occur in tape machines due to mechanical inconsistencies in the tape transport system. Wow refers to slower, more noticeable pitch fluctuations, while flutter on the other hand, is a faster form of speed variation.
Just like EQ co-training, APNN 2.0 uses a physically modeled wow/flutter simulation and co-trains it with the neural network. This not only makes the results of neural network training sound more authentic but also brings the modeled wow/flutter effect closer to the original hardware.
Adjustable Noise Floor
The Deep Vintage series simulates the hardware's inherent noise floor, which you can adjust in amount as needed.
"Retro DAW" Simulation
This button is inspired by the extremely subtle changes (less than -140 dB) introduced by a classic DAW from around the year 2000. While the changes are infinitesimal, we didn't overlook them. You can enable or disable this feature as needed.
Low CPU usage
No need for expensive cloud-based GPU clusters-Deep Vintage runs locally just like any other plugin, with extremely low CPU usage. You can easily insert it on every track!
More Features
* Apple silicon native support
* Undo/redo
* A/B switching
* Input/output level meter
* Mono mode
* LR/MS processing
* Phase invert
* GUI re-scaling
Latency
26 sample points, about 0.6ms at 44100 Hz
Home Page -

https://www.threebodytech.com/en/products/deepvintage

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Deep Vintage is a suite of legendary hardware simulation plugins that will immerse you in real analog magic. Not merely pursuing bona fide circuit replication or specific tonal qualities, Deep Vintage simulates the entirety of sound to reproduce the vintage "soul" in a digital world. Depth, sheen, low-end saturation...every nuance of the hardware's sonic spirit is ready for you to ignite, with minimal CPU usage and latency.

APNN 2.0
Trained with Three-Body Tech's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage learns on sound, and sound alone, creating an indistinguishable listening experience from the original hardwares.
APNN 2.0 is a neural network specializes in simulating analog hardwares. During the training process, APNN 2.0 and the hardware will be inputted with the same audio, and APNN 2.0 will learn how the hardware changes the audio in both waveform and spectrum dimensions. This means that a well-trained APNN 2.0 instance can capture both the dynamic and tonal characteristics of its source hardware. The following diagram demonstrates how, as training progresses, APNN 2.0's waveform and spectrum response deviation gradually decrease, eventually becoming indistinguishable from that of the original hardware. Check out the corresponding demos below to hear how APNN 2.0 progressively learns and replicates the sound of the hardware.
After an APNN 2.0 instance completes its training, we conduct rigorous human testing and make adjustments until our entire team fails the ABX test. This allows us to proudly announce:
in the realm of digital audio, nothing comes closer to real hardware than Deep Vintage.
Tube Shelf
Inspired by one of the most iconic and musical program EQs of all time, Tube Shelf faithfully emulates the EQ characteristics and unique tonal coloration of the original tube electronics.
The Tube Shelf module is primarily used to adjust low and high frequencies. With relatively few frequency band options, it is often paired with other EQs for more detailed tonal shaping, most commonly with Tube Bell and Tube Filter modules (see below).
Highlights
Multiplex Saturation, Multistage Coloration
With the power of APNN 2.0, Deep Vintage simulates not just specific frequency responses or coloration, but all the subtle 'hardware mojos': dynamics, airness, phase shifts, tube voltage sag, transformer's "iron sound," and more. Whether for subtle coloration, moderate saturation, or crushing the entire audio, its authentic performance will make you forget it's digital.
Independent Harmonics Control
With real hardware, the amount of harmonics is fixed at a given knob setting. However, Deep Vintage introduces surreal flexibility by allowing independent control over harmonics, separate from all other tonal characteristics. This lets you dial in the sonic power of high drive settings while maintaining the purity of a clean tone.
Low Frequency Saturation
The 'iron' sound of audio transformers-gently added low-end girth and saturation-epitomizes the sonic character of real hardware. Deep Vintage not only accurately captures this, but also provides you with the ability to toggle this 'iron' sound on or off, allowing you to switch between transformer or transformer-less versions. Whether you're aiming for a thick or clear tone, it always delivers with exceptional quality.
Re-sampling/Up-sampling
Almost all audio processing networks operates in fixed sample rates, but we've made resampling possible by optimizing our networks. The completely redesigned resampling algorithm in Deep Vintage ensures consistent accuracy and fidelity across all sample rates, making the simulation fully sample rate agnostic. Additionally, up to 8x oversampling is supported, effectively eliminating any aliasing issues.
EQ Co-training
Most neural networks can only capture discrete states of the hardware, thus providing only limited EQ combinations. However, Deep Vintage uniquely supports fully continous EQ adjustment through extra EQ simulations. For models with EQ, the "co-training algorithm" simultaneously learns the hardware prototype's saturation characteristics while fine-tuning a pre-modeled EQ module based on the circuit. This allows you to enjoy the authentic hardware sound while having complete freedom over EQ adjustment.
Tape Wow/Flutter Co-training
Wow/Flutter are pitch variations that occur in tape machines due to mechanical inconsistencies in the tape transport system. Wow refers to slower, more noticeable pitch fluctuations, while flutter on the other hand, is a faster form of speed variation.
Just like EQ co-training, APNN 2.0 uses a physically modeled wow/flutter simulation and co-trains it with the neural network. This not only makes the results of neural network training sound more authentic but also brings the modeled wow/flutter effect closer to the original hardware.
Adjustable Noise Floor
The Deep Vintage series simulates the hardware's inherent noise floor, which you can adjust in amount as needed.
"Retro DAW" Simulation
This button is inspired by the extremely subtle changes (less than -140 dB) introduced by a classic DAW from around the year 2000. While the changes are infinitesimal, we didn't overlook them. You can enable or disable this feature as needed.
Low CPU usage
No need for expensive cloud-based GPU clusters-Deep Vintage runs locally just like any other plugin, with extremely low CPU usage. You can easily insert it on every track!
More Features
* Apple silicon native support
* Undo/redo
* A/B switching
* Input/output level meter
* Mono mode
* LR/MS processing
* Phase invert
* GUI re-scaling
Latency
26 sample points, about 0.6ms at 44100 Hz
Home Page -

https://www.threebodytech.com/en/products/deepvintage

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Deep Vintage is a suite of legendary hardware simulation plugins that will immerse you in real analog magic. Not merely pursuing bona fide circuit replication or specific tonal qualities, Deep Vintage simulates the entirety of sound to reproduce the vintage "soul" in a digital world. Depth, sheen, low-end saturation...every nuance of the hardware's sonic spirit is ready for you to ignite, with minimal CPU usage and latency.

APNN 2.0
Trained with Three-Body Tech's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage learns on sound, and sound alone, creating an indistinguishable listening experience from the original hardwares.
APNN 2.0 is a neural network specializes in simulating analog hardwares. During the training process, APNN 2.0 and the hardware will be inputted with the same audio, and APNN 2.0 will learn how the hardware changes the audio in both waveform and spectrum dimensions. This means that a well-trained APNN 2.0 instance can capture both the dynamic and tonal characteristics of its source hardware. The following diagram demonstrates how, as training progresses, APNN 2.0's waveform and spectrum response deviation gradually decrease, eventually becoming indistinguishable from that of the original hardware. Check out the corresponding demos below to hear how APNN 2.0 progressively learns and replicates the sound of the hardware.
After an APNN 2.0 instance completes its training, we conduct rigorous human testing and make adjustments until our entire team fails the ABX test. This allows us to proudly announce:
in the realm of digital audio, nothing comes closer to real hardware than Deep Vintage.
Tube Shelf
Inspired by one of the most iconic and musical program EQs of all time, Tube Shelf faithfully emulates the EQ characteristics and unique tonal coloration of the original tube electronics.
The Tube Shelf module is primarily used to adjust low and high frequencies. With relatively few frequency band options, it is often paired with other EQs for more detailed tonal shaping, most commonly with Tube Bell and Tube Filter modules (see below).
Highlights
Multiplex Saturation, Multistage Coloration
With the power of APNN 2.0, Deep Vintage simulates not just specific frequency responses or coloration, but all the subtle 'hardware mojos': dynamics, airness, phase shifts, tube voltage sag, transformer's "iron sound," and more. Whether for subtle coloration, moderate saturation, or crushing the entire audio, its authentic performance will make you forget it's digital.
Independent Harmonics Control
With real hardware, the amount of harmonics is fixed at a given knob setting. However, Deep Vintage introduces surreal flexibility by allowing independent control over harmonics, separate from all other tonal characteristics. This lets you dial in the sonic power of high drive settings while maintaining the purity of a clean tone.
Low Frequency Saturation
The 'iron' sound of audio transformers-gently added low-end girth and saturation-epitomizes the sonic character of real hardware. Deep Vintage not only accurately captures this, but also provides you with the ability to toggle this 'iron' sound on or off, allowing you to switch between transformer or transformer-less versions. Whether you're aiming for a thick or clear tone, it always delivers with exceptional quality.
Re-sampling/Up-sampling
Almost all audio processing networks operates in fixed sample rates, but we've made resampling possible by optimizing our networks. The completely redesigned resampling algorithm in Deep Vintage ensures consistent accuracy and fidelity across all sample rates, making the simulation fully sample rate agnostic. Additionally, up to 8x oversampling is supported, effectively eliminating any aliasing issues.
EQ Co-training
Most neural networks can only capture discrete states of the hardware, thus providing only limited EQ combinations. However, Deep Vintage uniquely supports fully continous EQ adjustment through extra EQ simulations. For models with EQ, the "co-training algorithm" simultaneously learns the hardware prototype's saturation characteristics while fine-tuning a pre-modeled EQ module based on the circuit. This allows you to enjoy the authentic hardware sound while having complete freedom over EQ adjustment.
Tape Wow/Flutter Co-training
Wow/Flutter are pitch variations that occur in tape machines due to mechanical inconsistencies in the tape transport system. Wow refers to slower, more noticeable pitch fluctuations, while flutter on the other hand, is a faster form of speed variation.
Just like EQ co-training, APNN 2.0 uses a physically modeled wow/flutter simulation and co-trains it with the neural network. This not only makes the results of neural network training sound more authentic but also brings the modeled wow/flutter effect closer to the original hardware.
Adjustable Noise Floor
The Deep Vintage series simulates the hardware's inherent noise floor, which you can adjust in amount as needed.
"Retro DAW" Simulation
This button is inspired by the extremely subtle changes (less than -140 dB) introduced by a classic DAW from around the year 2000. While the changes are infinitesimal, we didn't overlook them. You can enable or disable this feature as needed.
Low CPU usage
No need for expensive cloud-based GPU clusters-Deep Vintage runs locally just like any other plugin, with extremely low CPU usage. You can easily insert it on every track!
More Features
* Apple silicon native support
* Undo/redo
* A/B switching
* Input/output level meter
* Mono mode
* LR/MS processing
* Phase invert
* GUI re-scaling
Latency
26 sample points, about 0.6ms at 44100 Hz
Home Page -

https://www.threebodytech.com/en/products/deepvintage

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Free Download Three-Body Tech DV TubeFilter v1.0.3 | 37 Mb
Deep Vintage is a suite of legendary hardware simulation plugins that will immerse you in real analog magic. Not merely pursuing bona fide circuit replication or specific tonal qualities, Deep Vintage simulates the entirety of sound to reproduce the vintage "soul" in a digital world. Depth, sheen, low-end saturation...every nuance of the hardware's sonic spirit is ready for you to ignite, with minimal CPU usage and latency.

APNN 2.0
Trained with Three-Body Tech's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage learns on sound, and sound alone, creating an indistinguishable listening experience from the original hardwares.
APNN 2.0 is a neural network specializes in simulating analog hardwares. During the training process, APNN 2.0 and the hardware will be inputted with the same audio, and APNN 2.0 will learn how the hardware changes the audio in both waveform and spectrum dimensions. This means that a well-trained APNN 2.0 instance can capture both the dynamic and tonal characteristics of its source hardware. The following diagram demonstrates how, as training progresses, APNN 2.0's waveform and spectrum response deviation gradually decrease, eventually becoming indistinguishable from that of the original hardware. Check out the corresponding demos below to hear how APNN 2.0 progressively learns and replicates the sound of the hardware.
After an APNN 2.0 instance completes its training, we conduct rigorous human testing and make adjustments until our entire team fails the ABX test. This allows us to proudly announce:
in the realm of digital audio, nothing comes closer to real hardware than Deep Vintage.
Tube Shelf
Inspired by one of the most iconic and musical program EQs of all time, Tube Shelf faithfully emulates the EQ characteristics and unique tonal coloration of the original tube electronics.
The Tube Shelf module is primarily used to adjust low and high frequencies. With relatively few frequency band options, it is often paired with other EQs for more detailed tonal shaping, most commonly with Tube Bell and Tube Filter modules (see below).
Highlights
Multiplex Saturation, Multistage Coloration
With the power of APNN 2.0, Deep Vintage simulates not just specific frequency responses or coloration, but all the subtle 'hardware mojos': dynamics, airness, phase shifts, tube voltage sag, transformer's "iron sound," and more. Whether for subtle coloration, moderate saturation, or crushing the entire audio, its authentic performance will make you forget it's digital.
Independent Harmonics Control
With real hardware, the amount of harmonics is fixed at a given knob setting. However, Deep Vintage introduces surreal flexibility by allowing independent control over harmonics, separate from all other tonal characteristics. This lets you dial in the sonic power of high drive settings while maintaining the purity of a clean tone.
Low Frequency Saturation
The 'iron' sound of audio transformers-gently added low-end girth and saturation-epitomizes the sonic character of real hardware. Deep Vintage not only accurately captures this, but also provides you with the ability to toggle this 'iron' sound on or off, allowing you to switch between transformer or transformer-less versions. Whether you're aiming for a thick or clear tone, it always delivers with exceptional quality.
Re-sampling/Up-sampling
Almost all audio processing networks operates in fixed sample rates, but we've made resampling possible by optimizing our networks. The completely redesigned resampling algorithm in Deep Vintage ensures consistent accuracy and fidelity across all sample rates, making the simulation fully sample rate agnostic. Additionally, up to 8x oversampling is supported, effectively eliminating any aliasing issues.
EQ Co-training
Most neural networks can only capture discrete states of the hardware, thus providing only limited EQ combinations. However, Deep Vintage uniquely supports fully continous EQ adjustment through extra EQ simulations. For models with EQ, the "co-training algorithm" simultaneously learns the hardware prototype's saturation characteristics while fine-tuning a pre-modeled EQ module based on the circuit. This allows you to enjoy the authentic hardware sound while having complete freedom over EQ adjustment.
Tape Wow/Flutter Co-training
Wow/Flutter are pitch variations that occur in tape machines due to mechanical inconsistencies in the tape transport system. Wow refers to slower, more noticeable pitch fluctuations, while flutter on the other hand, is a faster form of speed variation.
Just like EQ co-training, APNN 2.0 uses a physically modeled wow/flutter simulation and co-trains it with the neural network. This not only makes the results of neural network training sound more authentic but also brings the modeled wow/flutter effect closer to the original hardware.
Adjustable Noise Floor
The Deep Vintage series simulates the hardware's inherent noise floor, which you can adjust in amount as needed.
"Retro DAW" Simulation
This button is inspired by the extremely subtle changes (less than -140 dB) introduced by a classic DAW from around the year 2000. While the changes are infinitesimal, we didn't overlook them. You can enable or disable this feature as needed.
Low CPU usage
No need for expensive cloud-based GPU clusters-Deep Vintage runs locally just like any other plugin, with extremely low CPU usage. You can easily insert it on every track!
More Features
* Apple silicon native support
* Undo/redo
* A/B switching
* Input/output level meter
* Mono mode
* LR/MS processing
* Phase invert
* GUI re-scaling
Latency
26 sample points, about 0.6ms at 44100 Hz
Home Page -

https://www.threebodytech.com/en/products/deepvintage

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Free Download Three-Body Tech DV TubeShelf v1.0.3 | 40.4 Mb
Deep Vintage is a suite of legendary hardware simulation plugins that will immerse you in real analog magic. Not merely pursuing bona fide circuit replication or specific tonal qualities, Deep Vintage simulates the entirety of sound to reproduce the vintage "soul" in a digital world. Depth, sheen, low-end saturation...every nuance of the hardware's sonic spirit is ready for you to ignite, with minimal CPU usage and latency.

APNN 2.0
Trained with Three-Body Tech's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage learns on sound, and sound alone, creating an indistinguishable listening experience from the original hardwares.
APNN 2.0 is a neural network specializes in simulating analog hardwares. During the training process, APNN 2.0 and the hardware will be inputted with the same audio, and APNN 2.0 will learn how the hardware changes the audio in both waveform and spectrum dimensions. This means that a well-trained APNN 2.0 instance can capture both the dynamic and tonal characteristics of its source hardware. The following diagram demonstrates how, as training progresses, APNN 2.0's waveform and spectrum response deviation gradually decrease, eventually becoming indistinguishable from that of the original hardware. Check out the corresponding demos below to hear how APNN 2.0 progressively learns and replicates the sound of the hardware.
After an APNN 2.0 instance completes its training, we conduct rigorous human testing and make adjustments until our entire team fails the ABX test. This allows us to proudly announce:
in the realm of digital audio, nothing comes closer to real hardware than Deep Vintage.
Tube Shelf
Inspired by one of the most iconic and musical program EQs of all time, Tube Shelf faithfully emulates the EQ characteristics and unique tonal coloration of the original tube electronics.
The Tube Shelf module is primarily used to adjust low and high frequencies. With relatively few frequency band options, it is often paired with other EQs for more detailed tonal shaping, most commonly with Tube Bell and Tube Filter modules (see below).
Highlights
Multiplex Saturation, Multistage Coloration
With the power of APNN 2.0, Deep Vintage simulates not just specific frequency responses or coloration, but all the subtle 'hardware mojos': dynamics, airness, phase shifts, tube voltage sag, transformer's "iron sound," and more. Whether for subtle coloration, moderate saturation, or crushing the entire audio, its authentic performance will make you forget it's digital.
Independent Harmonics Control
With real hardware, the amount of harmonics is fixed at a given knob setting. However, Deep Vintage introduces surreal flexibility by allowing independent control over harmonics, separate from all other tonal characteristics. This lets you dial in the sonic power of high drive settings while maintaining the purity of a clean tone.
Low Frequency Saturation
The 'iron' sound of audio transformers-gently added low-end girth and saturation-epitomizes the sonic character of real hardware. Deep Vintage not only accurately captures this, but also provides you with the ability to toggle this 'iron' sound on or off, allowing you to switch between transformer or transformer-less versions. Whether you're aiming for a thick or clear tone, it always delivers with exceptional quality.
Re-sampling/Up-sampling
Almost all audio processing networks operates in fixed sample rates, but we've made resampling possible by optimizing our networks. The completely redesigned resampling algorithm in Deep Vintage ensures consistent accuracy and fidelity across all sample rates, making the simulation fully sample rate agnostic. Additionally, up to 8x oversampling is supported, effectively eliminating any aliasing issues.
EQ Co-training
Most neural networks can only capture discrete states of the hardware, thus providing only limited EQ combinations. However, Deep Vintage uniquely supports fully continous EQ adjustment through extra EQ simulations. For models with EQ, the "co-training algorithm" simultaneously learns the hardware prototype's saturation characteristics while fine-tuning a pre-modeled EQ module based on the circuit. This allows you to enjoy the authentic hardware sound while having complete freedom over EQ adjustment.
Tape Wow/Flutter Co-training
Wow/Flutter are pitch variations that occur in tape machines due to mechanical inconsistencies in the tape transport system. Wow refers to slower, more noticeable pitch fluctuations, while flutter on the other hand, is a faster form of speed variation.
Just like EQ co-training, APNN 2.0 uses a physically modeled wow/flutter simulation and co-trains it with the neural network. This not only makes the results of neural network training sound more authentic but also brings the modeled wow/flutter effect closer to the original hardware.
Adjustable Noise Floor
The Deep Vintage series simulates the hardware's inherent noise floor, which you can adjust in amount as needed.
"Retro DAW" Simulation
This button is inspired by the extremely subtle changes (less than -140 dB) introduced by a classic DAW from around the year 2000. While the changes are infinitesimal, we didn't overlook them. You can enable or disable this feature as needed.
Low CPU usage
No need for expensive cloud-based GPU clusters-Deep Vintage runs locally just like any other plugin, with extremely low CPU usage. You can easily insert it on every track!
More Features
* Apple silicon native support
* Undo/redo
* A/B switching
* Input/output level meter
* Mono mode
* LR/MS processing
* Phase invert
* GUI re-scaling
Latency
26 sample points, about 0.6ms at 44100 Hz
Home Page -

https://www.threebodytech.com/en/products/deepvintage

Rapidgator
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Free Download Three-Body Tech DV USRack v1.0.3 | 41.5 Mb
Deep Vintage is a suite of legendary hardware simulation plugins that will immerse you in real analog magic. Not merely pursuing bona fide circuit replication or specific tonal qualities, Deep Vintage simulates the entirety of sound to reproduce the vintage "soul" in a digital world. Depth, sheen, low-end saturation...every nuance of the hardware's sonic spirit is ready for you to ignite, with minimal CPU usage and latency.

APNN 2.0
Trained with Three-Body Tech's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage learns on sound, and sound alone, creating an indistinguishable listening experience from the original hardwares.
APNN 2.0 is a neural network specializes in simulating analog hardwares. During the training process, APNN 2.0 and the hardware will be inputted with the same audio, and APNN 2.0 will learn how the hardware changes the audio in both waveform and spectrum dimensions. This means that a well-trained APNN 2.0 instance can capture both the dynamic and tonal characteristics of its source hardware. The following diagram demonstrates how, as training progresses, APNN 2.0's waveform and spectrum response deviation gradually decrease, eventually becoming indistinguishable from that of the original hardware. Check out the corresponding demos below to hear how APNN 2.0 progressively learns and replicates the sound of the hardware.
After an APNN 2.0 instance completes its training, we conduct rigorous human testing and make adjustments until our entire team fails the ABX test. This allows us to proudly announce:
in the realm of digital audio, nothing comes closer to real hardware than Deep Vintage.
Tube Shelf
Inspired by one of the most iconic and musical program EQs of all time, Tube Shelf faithfully emulates the EQ characteristics and unique tonal coloration of the original tube electronics.
The Tube Shelf module is primarily used to adjust low and high frequencies. With relatively few frequency band options, it is often paired with other EQs for more detailed tonal shaping, most commonly with Tube Bell and Tube Filter modules (see below).
Highlights
Multiplex Saturation, Multistage Coloration
With the power of APNN 2.0, Deep Vintage simulates not just specific frequency responses or coloration, but all the subtle 'hardware mojos': dynamics, airness, phase shifts, tube voltage sag, transformer's "iron sound," and more. Whether for subtle coloration, moderate saturation, or crushing the entire audio, its authentic performance will make you forget it's digital.
Independent Harmonics Control
With real hardware, the amount of harmonics is fixed at a given knob setting. However, Deep Vintage introduces surreal flexibility by allowing independent control over harmonics, separate from all other tonal characteristics. This lets you dial in the sonic power of high drive settings while maintaining the purity of a clean tone.
Low Frequency Saturation
The 'iron' sound of audio transformers-gently added low-end girth and saturation-epitomizes the sonic character of real hardware. Deep Vintage not only accurately captures this, but also provides you with the ability to toggle this 'iron' sound on or off, allowing you to switch between transformer or transformer-less versions. Whether you're aiming for a thick or clear tone, it always delivers with exceptional quality.
Re-sampling/Up-sampling
Almost all audio processing networks operates in fixed sample rates, but we've made resampling possible by optimizing our networks. The completely redesigned resampling algorithm in Deep Vintage ensures consistent accuracy and fidelity across all sample rates, making the simulation fully sample rate agnostic. Additionally, up to 8x oversampling is supported, effectively eliminating any aliasing issues.
EQ Co-training
Most neural networks can only capture discrete states of the hardware, thus providing only limited EQ combinations. However, Deep Vintage uniquely supports fully continous EQ adjustment through extra EQ simulations. For models with EQ, the "co-training algorithm" simultaneously learns the hardware prototype's saturation characteristics while fine-tuning a pre-modeled EQ module based on the circuit. This allows you to enjoy the authentic hardware sound while having complete freedom over EQ adjustment.
Tape Wow/Flutter Co-training
Wow/Flutter are pitch variations that occur in tape machines due to mechanical inconsistencies in the tape transport system. Wow refers to slower, more noticeable pitch fluctuations, while flutter on the other hand, is a faster form of speed variation.
Just like EQ co-training, APNN 2.0 uses a physically modeled wow/flutter simulation and co-trains it with the neural network. This not only makes the results of neural network training sound more authentic but also brings the modeled wow/flutter effect closer to the original hardware.
Adjustable Noise Floor
The Deep Vintage series simulates the hardware's inherent noise floor, which you can adjust in amount as needed.
"Retro DAW" Simulation
This button is inspired by the extremely subtle changes (less than -140 dB) introduced by a classic DAW from around the year 2000. While the changes are infinitesimal, we didn't overlook them. You can enable or disable this feature as needed.
Low CPU usage
No need for expensive cloud-based GPU clusters-Deep Vintage runs locally just like any other plugin, with extremely low CPU usage. You can easily insert it on every track!
More Features
* Apple silicon native support
* Undo/redo
* A/B switching
* Input/output level meter
* Mono mode
* LR/MS processing
* Phase invert
* GUI re-scaling
Latency
26 sample points, about 0.6ms at 44100 Hz
Home Page -

https://www.threebodytech.com/en/products/deepvintage

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Free Download Three-Body Tech SpecCraft v1.0.0 | 35 MB
SpecCraft is a next-generation dynamic resonance suppressor, spectrum compressor, and smart EQ. It specializes in eliminating the greatest enemy in your mix: unwanted resonances. Whether it's harsh shrills or muddy booms, SpecCraft identifies them all and dynamically applies matching suppression at each and every audio frame.

Homepage

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Free Download Timer RH Pro 3.0 | macOS | 28 mb
Take Control of Your Time

Capabilities:
- Set the timer to the specific time or to the exact time interval
- Multiple timers
- Repeating timers
- Text and color labels
- Combining timers into the scenaries
- Create shortcuts and set hotkeys for its
- One-touch timers addeding
- Display on top over all windows when timer expiring
- Ability to pin the window on top over all windows when working
- Fullscreen mode
- Flexible settings for sound and alerts
- Count Down or Forward
- Multiple timers in one window
- History of timers
- Timer in the staus bar and on the dock icon
And much more in this universal tool
Top In-App Purchases:Pro Version - included
Compatibility:macOS 10.14 or later

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Free Download ToneLib GFX v4.8.5 (Win/macOS/Linux) | 353.9 Mb (Total)
Perfect Custom Tone with a Complete Guitar Studio. More Then Just an Ampsim. TL GFX is a comprehensive guitar VST plugin/Standalone app that combines a vast collection of high-end guitar gear with a complete guitar studio, ideal for day-to-day practice routine, jam sessions and live performances.

TL GFX Effects collection features over 80 pieces of guitar gear, painstakingly modeled based on actual circuit diagrams of real-life analogs. From some of the most famous guitar amps to indispensable pedals and modulation effects, the TL GFX suite has everything you could possibly need to create a top-notch custom guitar tone.
With the TL GFX Standalone, a complete guitar studio can easily fit into just one app. From the must-have Tuner and Metronome, to a Backing track player, Rhythm Machine, Loop Station, Audition Mode and much more, you'll find all the tools you need for everyday guitar practice, quick demo recordings, vibrant jam sessions and even live gigs. No need for DAWs and complicated setup - just plug in your guitar and start playing!
By joining TL GFX's lively Online Community, you'll have access to a huge online preset library to fit any taste. Plus, in the regularly updated Collections section, you'll find over a hundred custom presets in the style of famous guitarists and rock bands.
Home Page-

https://tonelib.net/gfx-overview.html

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Free Download ToneLib Jam v4.8.5 (Win/macOS/Linux) | 230 Mb (Total)
Improve. Create. Entertain... With Jam! Tonelib Jam is a comprehensive software app for playing and composing music. Designed both for beginners and experienced guitarists, TL Jam can provide a perfect platform for mastering the instrument, allowing you to effortlessly learn your favorite songs or setup an efficient daily guitar practice routine.

TL Jam features a powerful and intuitive Tab Editor, a vast library of Online Tabs with thousands of songs, a built-in TL GFX-based guitar processor with the option for third-party plug-ins, a Backing Track Player with EQ capabilities, a flexible Recorder for demo sessions, and much more.
In addition, the 3D Display Mode is capable to turn your learning process into a video game.
Home Page-

https://tonelib.net/jam-overview.html

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Free Download ToneLib Metal v1.3.0 (Win/macOS/Linux) | 645.4 Mb (Total)
From razor-sharp shreds to crushing chugs, in this ultimate metal pack you will get it all. Ideal Amp Suite for Metal Guitar. Designed specifically for the loudest and heaviest music, TL Metal is perfect for all genres of heavy rock - from teeth-grinding djent and aggressive thrash to crystal-clear shredruns and soulful ballads.

Carefully selected amplifiers, complemented by hand modeled effects, enable you to achieve a truly heavy sound. Ignite your guitar with the brightest representatives of the heavy sound world and elevate your guitar playing to a never-before-seen level.
From razor-sharp shreds to crushing chugs, in this ultimate metal pack you will get it all.
Home Page-

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Free Download ToneLib TL MultiComp v2.2.0 (Win/macOS/Linux) | 117.9 Mb (Total)
Top-Notch Compressor for Advanced Audio Processing. The Only Compressor You Will Ever Need. TL MultiComp is a high-quality compressor plugin that provides the best techniques and methods of audio processing. Whatever compression tool you need, TL MultiComp surely have it on board.

Featuring Mid/Side, Parallel and Stereo compression, Side Chaining with additional multiband EQ filtering, advanced Knee controls and a lot more, this ultimate compressor plugin can handle virtually any task, whether mastering or mixing.
Combining two compressor units, it enables both fast and easy signal processing based on automatic algorithms and a single control knob, as well as precise and accurate tuning for more complex tasks.
Flexible visual interface with multiple display modes allows you to fully monitor audio signal dynamics, while straightforward, realistic controls enable you to get started without any confusion or hassle.
Home Page-

https://tonelib.net/plugins/tl-multicomp.html

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