Connect VLM Run and Deepgram to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for VLM Run
Choose an Action
Automatically do this!
Speech To Text
Text to Speech
Analyze Text
Enable Integrations or automations with these events of VLM Run and Deepgram
Enable Integrations or automations with these events of VLM Run and Deepgram
Actions
Image to json
Generate structured prediction for the given image.
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 VLM Run and Deepgram accounts to viaSocket. Once connected, you can set up a workflow where an event in VLM Run triggers actions in Deepgram (or vice versa).
Absolutely. You can customize how VLM Run 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 VLM Run 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 VLM Run 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 VLM Run
VLM Run is a platform designed to enhance your running experience by providing tools and resources for tracking, analyzing, and improving your running performance. Whether you're a beginner or a seasoned marathoner, VLM Run offers features to help you set goals, monitor progress, and connect with a community of runners.
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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