Connect SandeshChat and Langify to Build Intelligent Automations
Enable Integrations or automations with these events of SandeshChat and Langify
Enable Integrations or automations with these events of SandeshChat and Langify
Actions
Send Template Message
Send a SandeshChat template message to a recipient's phone number.
Send Session Message
Send a chat message (text, image, audio, video, document, or location) to a recipient via SandeshChat.
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Frequently Asked Questions
To start, connect both your SandeshChat and Langify accounts to viaSocket. Once connected, you can set up a workflow where an event in SandeshChat triggers actions in Langify (or vice versa).
Absolutely. You can customize how SandeshChat data is recorded in Langify. This includes choosing which data fields go into which fields of Langify, setting up custom formats, and filtering out unwanted information.
The data sync between SandeshChat and Langify typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between SandeshChat and Langify. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About SandeshChat
SandeshChat is a dynamic communication platform designed to enhance team collaboration and streamline messaging. Ideal for businesses and teams looking to improve their internal communication, SandeshChat offers a range of features including instant messaging, file sharing, and group chats.
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About Langify
Langify is a powerful tool designed to help businesses and website owners easily translate their online content into multiple languages, enhancing their global reach and accessibility. It provides seamless integration with various platforms, allowing users to manage translations efficiently and ensure a consistent user experience across different languages.
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