What is Wavify?
Wavify is the library for on-device speech AI. Software engineers can embed features like speech recognition and wake word detection into any software running on any hardware.
Problem
Users relying on cloud-based speech AI models face limitations due to the need for a constant internet connection.
This dependency limits the flexibility and accessibility of speech AI applications, especially in scenarios with poor or no internet connectivity.
Solution
Library for on-device speech AI that allows software engineers to embed features like speech recognition and wake word detection into any software running on any hardware.
Enables offline functionality and independence from cloud-based models, providing flexibility and accessibility even in low to no internet connectivity scenarios.
Customers
Software engineers and developers in need of on-device speech AI solutions with offline functionality.
Specifically targets developers seeking to integrate speech recognition and wake word detection into various software applications across different hardware devices.
Unique Features
Enables embedding speech recognition and wake word detection features into software applications.
Provides offline functionality, freeing users from reliance on cloud-based speech AI models.
Supports running on any hardware, offering versatility and compatibility across various devices.
User Comments
Easy to use with comprehensive documentation.
Highly efficient and effective on-device speech AI capabilities.
Great solution for projects requiring offline speech functionality.
Impressed by the flexibility and compatibility with different hardware devices.
Responsive support team for any technical assistance needed.
Traction
Over 500 upvotes on ProductHunt.
Positive reviews highlighting its offline and on-device capabilities.
Currently gaining traction among software developers.
Growing user base with increasing adoption rates in the software development community.
Market Size
Global market for on-device speech AI technology was valued at approximately $1.2 billion in 2021.
