Connect Deepgram and trune to Build Intelligent Automations
Enable Integrations or automations with these events of Deepgram and trune
Enable Integrations or automations with these events of Deepgram and trune
Actions
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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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Social Media Post Creation and Scheduling Across Multiple Platforms
- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
- YoutubeYoutube Video ScriptYoutube Description VideoCreate an Avatar VideoDelayRetrieve Shareable Link for a Video1Upload VideoAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
- Notify teamSendMailAdd Step
- has reactSendDMMessage ReactAdd Step
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Frequently Asked Questions
To start, connect both your Deepgram and trune accounts to viaSocket. Once connected, you can set up a workflow where an event in Deepgram triggers actions in trune (or vice versa).
Absolutely. You can customize how Deepgram data is recorded in trune. This includes choosing which data fields go into which fields of trune, setting up custom formats, and filtering out unwanted information.
The data sync between Deepgram and trune 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 Deepgram and trune. 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 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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