Search by Voice
Add voice for truly hands-free search experiences on websites,
mobile applications and devices.
Elevate search experience and productivity with small and efficient voice AI models that run anywhere
Improve productivity, retention and profits by enabling users to retrieve information using talking instead of typing. Whether they are employees or customers, users that get what they want faster with search by voice will engage on the target platform much longer. 71% of Americans prefer using voice assistants for searching over typing. However, many enterprises do not offer search by voice. It’s not easy to build hands-free experiences across platforms. Even Google’s search by voice feature works with a push-to-talk button and only on Chrome browsers. The inconsistent user experience across platforms makes search by voice less desirable for enterprises. Not anymore!
The first time I tried Picovoice in 2018, I was blown away. I never even had to record my voice, I just typed two words for the wake word and it was 95% accurate even with heavy background noise. I immediately implemented it and haven’t seen anything even close to Picovoice technology since then.
Design once, deploy anywhere
Offer consistent user experience across platforms. Some may choose an iOS application, Chrome web browser, or both. Do not let vendors’ SDK limitations hinder user experience and hurt their trust and loyalty.
Truly hands-free search experiences
Build a voice-activated search engine, similar to Google but truly hands-free. Picovoice’s unprecedented on-device voice recognition technology enables enterprises to train small and efficient models that run anywhere, even in load-time-sensitive web browsers without a push-to-talk button.
Hyper-customizable and private
Train custom models in seconds, whether you want to change Alexa name with your brand or add custom voice control to your web, iOS or Android applications. Picovoice offers absolute privacy by processing voice data where it’s generated, even if it’s a web browser. Do not risk confidential information or trade secrets by processing voice data in the cloud.
Content Navigation
Search by voice is mainly used for retrieving information within large libraries, like Google Search Engine. Enterprises add the search by voice feature to their websites, mobile applications or even internal tools as typing by voice is 3 to 5 times faster. For example, voice-enabled search empowers mobile employees such as technicians. Asking “Alexa, how to fix ERROR XYZ” directly improves technician productivity and lets them stay focused by keeping their hands and eyes free. Porcupine Wake Word, Rhino Speech-to-Intent, and Leopard Speech-to-Text enable implementing voice commands. Porcupine can activate dormant applications using custom branded wake words such as Alexa. Rhino gives the highest accuracy when used for domain-specific voice commands such as tutorials for technicians. Leopard is the right choice for open-domain question answering, like Google Search Engine.
Filtering by Voice
Filtering and completing forms can be daunting, especially on small screens such as mobile phones. For example, to find “women size-10 black Nike running shoes with a least 4-star rating”, users need to fill six different filter boxes. Although it only takes six seconds to say. Filtering by voice is also used for internal applications such as CRM to improve employee productivity. Salespeople spend only 37% of their time selling. Instead of using drop-down menus or onerous input fields such as dates, they can get their admin jobs done on the go. Check out Porcupine Wake Word to start a hands-free experience with shortcuts and always-listening voice commands. Try Rhino Speech-to-Intent to add voice to input fields such as drop-down menus, radio buttons, sliders, date pickers or checkboxes. Leopard Speech-to-Text can be used to add voice to text fields and enable voice typing.
