End-to-end example for creating voice search for web with Speechly. Available also for iOS and Android!
Sign up to Speechly Dashboard to configure your model and to get your application ID.
You can copy and paste the example configuration from the right to get started and learn more about the configuration in our documentation.Sign up
Add customizable UI components with a few lines of code and leave the hard parts of handling audio for us.
UI components available for web, iOS and Android.
Our fully streaming API starts returning results from the second the user starts speaking.
Loop through the results and update the filters accordingly.Read more in documentation
Start the experience by clicking the power button and give permissions to microphone in your browser. After that, click and hold the microphone and say something like "Show red Puma" and see the dropdown menus changing accordingly. You can see the full source code in the left.
Voice search is several times faster and more natural way for creating search experiences, especially on mobile. It can be used in any content-heavy domain that depends on good search, such as eCommerce.
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A voice technology API that enables natural user interactions that blend voice and touch for intuitive and efficient experiences in mobile applications and websites. It can be deployed on cloud or on-premise. On-device installations will be available in Q4/21.
Speechly is built by ex-Alexa, ex-Siri PhDs who have spent the last 4 years building a new kind of technology to fix shortcomings in the previous generation technologies.
You can start developing right now by checking out our docs and signing up to our Dashboard free of charge. However, for companies and organisations considering a serious voice solution a commercial POC carried out together with the Speechly team validating the business case with real users is the approach we recommend. A typical POC takes about 3-4 weeks and involves the identification of the best use case to start from, help with best practices in multimodal voice ui design, a transparent accuracy benchmark, as well as tailor made and optimised Speecly API configurations for your use case.
Our pricing is based on the size of the developer team and the amount of voice data sent to the Speechly API. You can start with minimal costs using our free or developers tiers. For commercial projects we recommend either the professional tier or the enterprice tier. Typical enterprise tier project’s API costs are somewhere around 2.000 to 10.000 dollars per month. Commercial POCs involving the Speechly team are charged with a one-time fee ranging from $10.000 to $50.000 depending on the scope.
Speechly has use cases in professional and consumer settings. For example, one of the leading US warehouse operators is using Speechly to improve workforce efficiency. Another example is a European retailer who has built a successful voice-powered grocery shopping app. Ask us for more customer references.
Speechly can be configured for different language, acoustic environments and use cases. You can prototype the voice functionalities from minutes to just a few hours and in commercial POCs we’ll support you in all stages from design to implementation. Many of our customers have tried other alternatives and turned to Speechly to find a solution that brings real end-user value.
We have easy-to-use client libraries for iOS, Android and web platforms so your team can independently integrate Speechly to an existing application or create a new application. Alternatively in commercial POCs Speechly can do the heavy lifting for you to get you started, in which case all you need is the use case.
Speechly published a whitepaper on how voice technology can benefit grocery retail market. The whitepaper is available completely for free, no strings attached!
Voice has certain advantages over traditional user interfaces. Leveraging these advantages can create unique user experiences in any industry or domain.
Reactive voice user user interfaces enable intuitive and efficient experiences that improve key metrics