Connect AssemblyAI and Threads to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for AssemblyAI
Choose an Action
Automatically do this!
Publish Post
Get Threads Profile
Enable Integrations or automations with these events of AssemblyAI and Threads
Enable Integrations or automations with these events of AssemblyAI and Threads
Actions
Transcribe
Transcribe an audio or video file using AssemblyAI.
Get Transcript Redacted Audio Result
Get the result of the redacted audio model.
Get Transcript
Get details of a transcript by its id.
Get Transcript Sentences
Retrieve the sentences of the transcript by its ID.
Get Transcript Paragraph
Retrieve the paragraphs of the transcript by its ID.
Get Transcript Subtitles
Export the transcript as SRT or VTT subtitles.
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Frequently Asked Questions
To start, connect both your AssemblyAI and Threads accounts to viaSocket. Once connected, you can set up a workflow where an event in AssemblyAI triggers actions in Threads (or vice versa).
Absolutely. You can customize how AssemblyAI data is recorded in Threads. This includes choosing which data fields go into which fields of Threads, setting up custom formats, and filtering out unwanted information.
The data sync between AssemblyAI and Threads 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 AssemblyAI and Threads. 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 AssemblyAI
AssemblyAI's Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection and more.
Learn MoreAbout Threads
Threads is a modern forum for work designed to help teams inform, discuss, and make decisions at scale.
Learn More
