HeardThat vs Hance.ai

HeardThat is a smartphone app that turns your phone into a hearing assistive device by separating speech from background noise. It works with your existing Bluetooth earbuds or hearing aids, so you don't need to buy new hardware. The app uses machine learning to identify and isolate speech, making conversations clearer in noisy places. All processing happens on your phone, keeping your audio private without sending data to the cloud. HeardThat targets people who struggle to hear in social settings, helping them stay connected and avoid social isolation. The app offers a simple interface where you start noise removal with one tap and adjust ambient sound levels to your liking. It also includes a gifting feature so you can share the app with loved ones who have hearing difficulties. By leveraging your smartphone's processing power, HeardThat provides a practical solution that outperforms traditional hearing aids and noise-cancelling devices in challenging environments.

Hance.ai provides real-time AI audio enhancement designed for both hardware and software developers. Its technology processes audio with latencies as low as 10 milliseconds, enabling instant noise removal, echo cancellation, and stem separation. The platform supports a wide range of applications, from live voice communication and video conferencing to music production and hearing aids. Hance.ai's models are lightweight, with some as small as 242 KB, making them suitable for embedded devices with limited CPU and memory resources.

The solution offers specialized models for noise suppression, echo removal, and stem separation, allowing users to isolate or adjust vocals and instruments in real-time without pre-loading. This versatility makes it valuable for industries including telecommunications, media production, live streaming, and assistive hearing technology. Hance.ai also provides custom model development services to address unique audio challenges in industrial or large-scale environments.

Developed by a team with decades of experience in audio processing and machine learning, Hance.ai emphasizes efficiency and adaptability. Its API supports multiple programming languages such as C++ and Python, facilitating smooth integration. The company continues to update its models regularly, improving performance and expanding capabilities. Hance.ai aims to reduce R&D costs for manufacturers and developers by offering a ready-to-use, CPU-efficient audio enhancement engine.

With a focus on local integration, Hance.ai ensures data privacy and low latency, making it suitable for critical communication systems and embedded hardware. Its echo removal model has been recognized as best in class through blind tests, and its stem separation technology opens creative possibilities for music software and hardware. Overall, Hance.ai delivers clear, enhanced audio that improves user experience across diverse real-time applications.