How to connect Google Cloud Speech-To-Text and Wrike
Create a New Scenario to Connect Google Cloud Speech-To-Text and Wrike
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 Google Cloud Speech-To-Text, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Speech-To-Text or Wrike will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Wrike, and select the appropriate trigger to start the scenario.

Add the Google Cloud Speech-To-Text Node
Select the Google Cloud Speech-To-Text node from the app selection panel on the right.

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

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Authenticate Wrike
Now, click the Wrike node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Wrike settings. Authentication allows you to use Wrike through Latenode.
Configure the Google Cloud Speech-To-Text and Wrike 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 Google Cloud Speech-To-Text and Wrike 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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AI Anthropic Claude 3
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Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Wrike, 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 Google Cloud Speech-To-Text and Wrike integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Wrike (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Speech-To-Text and Wrike
Google Cloud Speech-To-Text + Wrike + Google Docs: When new audio is uploaded to storage, Google Cloud Speech-To-Text transcribes it. The transcription is then appended to a Google Docs document, and a Wrike task is created with a link to the document for review.
Wrike + Google Cloud Speech-To-Text + Slack: When a new task is created in Wrike, the task description is sent to Google Cloud Speech-To-Text for transcription. Once converted to text, the transcription is sent as a Slack message to a designated channel.
Google Cloud Speech-To-Text and Wrike integration alternatives
About Google Cloud Speech-To-Text
Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.
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About Wrike
Automate Wrike project updates and task assignments directly from other apps using Latenode. Sync data between Wrike and your CRM, database, or calendar. Create custom triggers based on project status changes and automate reporting. Latenode provides flexible integration with no-code tools or custom JavaScript, allowing you to tailor Wrike workflows without step limits.
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FAQ Google Cloud Speech-To-Text and Wrike
How can I connect my Google Cloud Speech-To-Text account to Wrike using Latenode?
To connect your Google Cloud Speech-To-Text account to Wrike on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Speech-To-Text and click on "Connect".
- Authenticate your Google Cloud Speech-To-Text and Wrike accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create Wrike tasks from transcribed audio?
Yes, you can! Latenode allows you to automatically create Wrike tasks from audio transcribed by Google Cloud Speech-To-Text, streamlining project management and saving valuable time by automating your workflow.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Wrike?
Integrating Google Cloud Speech-To-Text with Wrike allows you to perform various tasks, including:
- Create tasks in Wrike from voice meeting notes.
- Transcribe customer calls and add them as Wrike comments.
- Update Wrike task descriptions with voice commands.
- Generate project reports from spoken data via AI.
- Archive and analyze audio feedback data in Wrike.
How does Latenode handle Google Cloud Speech-To-Text errors?
Latenode provides robust error handling, allowing you to configure alerts and retry failed Google Cloud Speech-To-Text operations, ensuring data integrity.
Are there any limitations to the Google Cloud Speech-To-Text and Wrike integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Wrike API rate limits may affect high-volume workflows.
- Custom audio encoding formats may need specific configurations.