HeardThat vs Nonoisy

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.

Nonoisy is a tool that simplifies audio post-production by automatically removing background noise, leveling volume, and mastering audio files. It is designed for podcasters, video creators, and course makers who want to improve audio quality quickly and affordably without manual editing. Users upload their audio or video files, and Nonoisy’s AI processes them immediately, delivering cleaner, balanced sound that enhances the listening experience. The platform focuses on sounds rather than language, making it effective regardless of the spoken language. It removes static noises, clicks, and pops while ensuring all speakers are heard clearly at consistent volumes. This approach saves users hours of editing time and reduces the need for professional audio engineers. Nonoisy supports multiple audio formats and outputs the processed file in the original format, making it easy to integrate into existing workflows. Its straightforward interface and fast processing make it accessible to both beginners and professionals looking to polish their audio content efficiently.