Hance.ai

Enhance audio quality with Hance.ai's real-time AI solutions for noise reduction, echo cancellation, and more.

Audio Editing Updated 1 hour ago

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Hance.ai's Top Features

Real-time Noise Removal

Real-time Echo (Reverb) Removal

Real-time Stem Separation

Lightweight and Efficient Models

Customizable AI Models

Versatile Applications

API Availability

Real-time Processing

Frequently asked questions about Hance.ai

Hance.ai provides real-time AI audio enhancement by removing noise and reverb, enhancing voices, and separating instruments from mixed music. Ideal for microphones, audio gear, video conferencing, podcasting, and streaming software.

Its AI models process audio with latencies as low as 20 milliseconds, allowing near-instantaneous enhancement suitable for live applications. Algorithms reduce noise, eliminate reverb, recover signals, and classify sounds.

Hance.ai includes real-time noise and echo (reverb) removal, and stem separation to alter or remove volumes of individual instruments in music.

The models are efficient with library sizes around 5MB and model sizes between 3-4MB, operating in real-time using minimal CPU and memory resources, even on a single ARM Cortex-A53 processor core.

Customization is available where models can be tailored or created to meet specific requirements. It's recommended to contact their team for custom solutions.

Applications across telecom, post-production, aerospace, intelligence, and music production can benefit, enhancing audio quality and enabling creative workflows.

APIs are available in C++, Python, and WebAssembly, and they also offer an SDK for ease of integration with detailed API documentation and support.

Their pricing model is based on a yearly subscription relative to the number of end-users in your product, with a free trial available via their APIs and SDK.

Yes, Hance.ai provides real-time stem separation, allowing users to manipulate individual audio components of a track, such as removing or altering instruments.

Hance.ai supports macOS, Linux, and Windows, and operates efficiently on a single core of an ARM Cortex-A53 processor.