How to connect Microsoft To Do and Deepgram
Create a New Scenario to Connect Microsoft To Do and Deepgram
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft To Do, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft To Do or Deepgram will be your first step. To do this, click "Choose an app," find Microsoft To Do or Deepgram, and select the appropriate trigger to start the scenario.

Add the Microsoft To Do Node
Select the Microsoft To Do node from the app selection panel on the right.

Microsoft To Do
Configure the Microsoft To Do
Click on the Microsoft To Do node to configure it. You can modify the Microsoft To Do URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Deepgram Node
Next, click the plus (+) icon on the Microsoft To Do node, select Deepgram from the list of available apps, and choose the action you need from the list of nodes within Deepgram.

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Authenticate Deepgram
Now, click the Deepgram node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Deepgram settings. Authentication allows you to use Deepgram through Latenode.
Configure the Microsoft To Do and Deepgram Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Microsoft To Do and Deepgram Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Save and Activate the Scenario
After configuring Microsoft To Do, Deepgram, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Microsoft To Do and Deepgram integration works as expected. Depending on your setup, data should flow between Microsoft To Do and Deepgram (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft To Do and Deepgram
Deepgram + Microsoft To Do + Microsoft Teams: When a new meeting recording is available via URL, Deepgram transcribes the audio. Then, new tasks are created in Microsoft To Do from the transcription and a summary message is sent to a Microsoft Teams channel.
Deepgram + Microsoft To Do + Slack: When a customer service call recording is available, Deepgram transcribes it. Based on the transcription, a follow-up task is created in Microsoft To Do. Finally, a summary of the call and the task is posted to a Slack channel.
Microsoft To Do and Deepgram integration alternatives
About Microsoft To Do
Automate task management by integrating Microsoft To Do with Latenode. Automatically create tasks from emails, database entries, or other apps. Sync tasks between systems, set reminders based on triggers, and manage projects visually using Latenode's low-code interface. Stop manual updates and build scalable task workflows.
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About Deepgram
Need to transcribe audio/video inside your Latenode automations? Deepgram offers fast, accurate speech-to-text. Connect it to your workflows for automated meeting summaries, content analysis, or customer support monitoring. Fine-tune results with custom vocabularies, all within Latenode's visual interface and code blocks.
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See how Latenode works
FAQ Microsoft To Do and Deepgram
How can I connect my Microsoft To Do account to Deepgram using Latenode?
To connect your Microsoft To Do account to Deepgram on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft To Do and click on "Connect".
- Authenticate your Microsoft To Do and Deepgram accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I create To Do tasks from meeting transcriptions?
Yes, you can! Latenode enables automated workflows to create tasks in Microsoft To Do from Deepgram transcriptions, saving time and improving productivity with no-code automation.
What types of tasks can I perform by integrating Microsoft To Do with Deepgram?
Integrating Microsoft To Do with Deepgram allows you to perform various tasks, including:
- Automatically create tasks from action items identified in voice recordings.
- Generate task descriptions from meeting transcripts for better context.
- Prioritize tasks based on keywords found within transcribed audio files.
- Share meeting notes and tasks within your team.
- Alert collaborators when audio analysis identifies urgent tasks.
HowsecureismyMicrosoftToDodatawhenusingLatenodeforintegrations?
Latenode employs robust security measures, including encryption and secure authentication, to protect your Microsoft To Do data during integrations.
Are there any limitations to the Microsoft To Do and Deepgram integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Free Deepgram accounts have usage limits that may affect workflow performance.
- Microsoft To Do API limitations may restrict the frequency of task updates.
- Complex audio analysis may require significant Latenode processing resources.