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What is ai|coustics?

ai|coustics is an innovative platform that utilizes advanced AI technology to enhance audio and video recordings by boosting speech clarity and eliminating intrusive background noise. Users can easily upload their files for enhancement through a user-friendly web application, while developers have access to an API and SDK for integrating real-time audio processing into their own applications and devices. The platform is powered by two primary AI models: Finch, renowned for its exceptional noise reduction capabilities, and Lark, which effectively restores missing frequencies and enriches audio to achieve a professional, studio-like quality. Supporting over 40 file formats, including MP3, MP4, WAV, and MOV, ai|coustics also provides batch processing features to optimize user workflow. Boasting a user community of over 500,000, with significant clients like BosePark, Bayerischer Rundfunk, and Sieve, the platform caters to a wide array of users. It is particularly beneficial for podcasters, content creators, educators, and developers who aspire to deliver high-quality audio across various media channels. Additionally, its adaptability makes it an invaluable resource for anyone seeking to significantly enhance their audio production capabilities. As technology continues to evolve, ai|coustics remains at the forefront, consistently pushing the boundaries of what's possible in audio enhancement.

What is Levelr?

Levelr represents a state-of-the-art audio enhancement solution that employs advanced artificial intelligence to deliver studio-quality sound by skillfully removing background distractions, isolating voice elements, and enhancing dialogue clarity across a multitude of uses. The platform is compatible with an array of audio formats such as MP3, WAV, FLAC, AIFF, M4A, and MP4, enabling users to easily upload their audio files for the effective elimination of unwanted sounds like ambient noise, microphone hiss, and echoes, ensuring that the primary voice remains clear and easily understandable. With its intuitive design and streamlined workflow, Levelr is crafted to significantly lessen the audio editing time required by creators, especially in the realms of podcasts, interviews, video production, live streaming, and professional recordings. By automating complex audio restoration tasks that would usually require meticulous manual tuning, including equalization and noise gating, it allows users to effortlessly achieve high-quality sound, thereby enhancing the overall auditory experience. Consequently, Levelr serves as an essential tool for individuals looking to elevate their audio projects to a level of professional excellence, making sound editing not only efficient but also accessible to everyone. Furthermore, the continuous advancements in its technology promise to keep pushing the boundaries of audio quality and user satisfaction.

Media

Media

Integrations Supported

Android
Apple iOS
C++
Go
Java
JavaScript
Kotlin
Microsoft 365
Objective-C
Python
R
Ruby
Swift

Integrations Supported

Android
Apple iOS
C++
Go
Java
JavaScript
Kotlin
Microsoft 365
Objective-C
Python
R
Ruby
Swift

API Availability

Has API

API Availability

Has API

Pricing Information

€2 per month
Free Trial Offered?
Free Version

Pricing Information

$9.50 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ai|coustics

Date Founded

2021

Company Location

Germany

Company Website

ai-coustics.com

Company Facts

Organization Name

Levelr

Company Location

United States

Company Website

www.levelr.ai/

Categories and Features

Categories and Features

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