CONVA Voice Search is a light-weight SDK that is integrated into existing Mobile or Web App as an interaction layer for handling conversations
for SKU & domain jargon for Grocery, Pharma, Fashion, Beauty & Cosmetics categories
Support for Ecommerce Apps built on Android, iOS, React Native, Flutter and Shopify
Speech recognition & TTS across key Indian languages with built-in two-way translations
For 5 different metrics related to voice usage behaviour in your app on a periodic basis
Includes all components for voice processing stack, including UI elements for interaction
If you are a brand or a startup with your own Ecommerce App then watch this video to understand why adding Voice Search is critical for user success and growth
Simple, transparent pricing that grows with you.
Try any plan free for 30 days!
For UNLIMITED Users and more features explore our Enterprise Plan.
GET STARTED FOR FREE and then pay for usage only!
Monthly billing is computed based on your app's Monthly Unique Users count.
Build custom user journeys to deliver differentiated shopping experiences to your Ecommerce app users
CONVA Search is the most accurate Voice Search for Ecommerce Apps. It enables multilingual conversational search with voice inside existing apps.
CONVA Search is available as a light weight SDK that can be integrated inside existing mobile apps and web apps using a low code integration process. The CONVA Search SDK can be generated for any Ecommerce App using the CONVA Search Console after signing up on CONVA Search Login Page.
CONVA Search can be experienced for your app on your own device using the CONVA Search Sandbox available on our website. You do not need to provide any credit card information to try this sandbox for CONVA Search.
CONVA Search integration involves two simple steps:
1. Generate the CONVA Search Assistant for your App using the CONVA Search Signup Page and the CONVA Search Console.
2. Use the generated Assistant ID from Step 1 to integrate the SDK into the code of your existing mobile or web app by referring the online documentation