Deepgram is an AI speech platform that offers transcription and speech understanding solutions.
By seamlessly converting audio data into accurate, searchable, and actionable insights, Deepgram empowers organizations to extract valuable information from their audio content, streamline processes, and enhance customer experiences. Leveraging advanced deep learning algorithms, Deepgram provides businesses with the tools to transcribe and understand spoken language at scale. Deepgram provides specialized models for phone calls, meetings, conversations and more and also supports training tailored models.
You can find more details and the supported operations on Deepgram | qibb Catalog.
How to get started with Deepgram integration
Before you get started using Deepgram integration please make sure that you have the needed permission for the operations. Here you can find the Deepgram API Documentation.
You will need an API Key for authentication.
Create your API Key in your Deepgram account dashboard or use an existing API Key.
Go to qibb Workflow Editor, open Node Catalog in the right sidebar, and install Deepgram nodes by clicking on the + button.
Drag Deepgram nodes from the left sidebar and place them in your flow.
Enter the word “token “ followed by your API Key into the Advanced/Security field of the node and start using the integration!
Importing flow examples of a node
Once you've successfully installed a node from the qibb catalog, you can easily import example flows that showcase how the nodes can be used. These example flows are directly accessible within the Flow Editor and are designed to guide users with helpful hints, including how to configure mandatory parameters and credentials.
Here's how to import examples:
In the top right corner of the Flow Editor, click on the menu icon.
Select Import to open the Import Dialog.
Click on the Examples tab.
Choose an example from the list.
Confirm your selection by clicking on the Import button.
By following these steps, you are now ready to make basic API calls using the provided examples. For further exploration of what’s possible, you can find more complex examples in the Flow Catalog.