Connect AiSensy and Deepgram to Build Intelligent Automations
Enable Integrations or automations with these events of AiSensy and Deepgram
Enable Integrations or automations with these events of AiSensy and Deepgram
Actions
Send Template Message
Send a templated campaign message to a recipient phone number, optionally including template parameters, tags, custom attributes, location, and campaign metadata.
Speech To Text
Transcribe and analyze pre-recorded audio or video.
Text to Speech
Covert text to speech.
Analyze Text
Analyze a text-to-request.
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Frequently Asked Questions
To start, connect both your AiSensy and Deepgram accounts to viaSocket. Once connected, you can set up a workflow where an event in AiSensy triggers actions in Deepgram (or vice versa).
Absolutely. You can customize how AiSensy data is recorded in Deepgram. This includes choosing which data fields go into which fields of Deepgram, setting up custom formats, and filtering out unwanted information.
The data sync between AiSensy and Deepgram 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 AiSensy and Deepgram. 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 AiSensy
AiSensy is a platform that leverages artificial intelligence to enhance customer communication and engagement. It provides tools for businesses to automate and optimize their messaging strategies, ensuring efficient and effective interactions with their audience.
Learn MoreAbout Deepgram
Deepgram is a cutting-edge speech recognition and transcription service that leverages advanced AI and deep learning technologies to deliver highly accurate and fast transcriptions. Ideal for businesses and developers looking to integrate powerful voice-to-text capabilities into their applications.
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