Embed private voice AI into any product instantly
Picovoice provides core technology to embed private voice AI into any device. Picovoice's SDK makes it possible to build products that can be activated, controlled, and conversed with using voice without cloud connection. Our software runs on Linux, Mac, Windows, Android, iOS, watchOS, Raspberry Pi, and a growing number of embedded processors.
Wake Word Detection Engine (Voice Control Engine)
The wake word detection library enables makers to build products that can be activated and controlled using voice. It makes it possible to activate the device similar to “Alexa” or “OK Google” but using your hotword (wake word) of choice to promote your product, brand, and identity. Additionally, the library allows the user to control the device via a configurable set of voice commands.
Speech to Text Engine
The speech to text SDK facilitates building conversational interfaces without the need to any cloud connection. It is powered by a novel end-to-end learning algorithm which makes it possible to perform accurate speech recognition on IoT platforms with limited memory/CPU budget.
Picovoice is a team of applied scientists and engineers who strive to build a future where our lives are enhanced with ambient voice AIs, while respecting your privacy. Picovoice is founded by Alireza Kenarsari. Prior to Picovoice Alireza was a Senior Engineer at Amazon and has been also an early-stage engineer in a few successful technology startups (one reached IPO). He is the inventor of five US patents within the fields of deep learning and speech recognition. Read more about the beginnings of Picovoice here.
[August 26, 2018] Picovoice's speech to text repository ranks among top 10 open source machine learning projects. We are extremely excited to be on this list alongside names such as OpenAI, NVIDIA, Facebook Research, Airbnb, and Google. Read more here.
[July 23, 2018] Picovoice ranks among top 10 open source machine learning projects. We are extremely excited to be on this list alongside names such as Facebook Research, Salesforce, Baidu Research, and NVIDIA. Read more here.