How to connect Google Cloud Speech-To-Text and Jira
Create a New Scenario to Connect Google Cloud Speech-To-Text and Jira
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 Jira will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Jira, 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 Jira Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Jira from the list of available apps, and choose the action you need from the list of nodes within Jira.

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

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Jira, 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 Jira integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Jira (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 Jira
Google Cloud Speech-To-Text + Jira + Slack: When audio is uploaded to storage, Google Cloud Speech-To-Text transcribes it. The transcription is then used to create a new issue in Jira. A message is sent to a Slack channel to notify the team of the new issue.
Google Cloud Speech-To-Text + Jira + Google Docs: When audio is uploaded to storage, Google Cloud Speech-To-Text transcribes it. A new Jira ticket is automatically created with the transcription as the issue description. The same transcription is appended to a Google Docs document for summarization.
Google Cloud Speech-To-Text and Jira 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 Jira
Sync Jira issues to other tools or trigger actions based on status changes. Automate bug reporting, task assignment, or notifications without code. Latenode lets you visually integrate Jira into complex workflows. Extend functionality with JavaScript and control costs with execution-based pricing, not per-step fees.
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FAQ Google Cloud Speech-To-Text and Jira
How can I connect my Google Cloud Speech-To-Text account to Jira using Latenode?
To connect your Google Cloud Speech-To-Text account to Jira 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 Jira accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create Jira tickets from voice memos?
Yes, you can! Latenode’s visual editor makes it easy. Transcribe voice memos with Google Cloud Speech-To-Text, then auto-create Jira tickets, saving time and improving issue logging.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Jira?
Integrating Google Cloud Speech-To-Text with Jira allows you to perform various tasks, including:
- Create Jira issues from transcribed customer support call recordings.
- Automatically update Jira tickets with meeting transcription summaries.
- Analyze voice feedback data and generate bug reports in Jira.
- Transcribe voice notes into actionable development tasks within Jira.
- Categorize spoken feedback and route issues to the correct Jira team.
How secure is Google Cloud Speech-To-Text data in Latenode workflows?
Latenode uses industry-standard encryption to protect your Google Cloud Speech-To-Text and Jira data both in transit and at rest.
Are there any limitations to the Google Cloud Speech-To-Text and Jira integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take longer to process with Google Cloud Speech-To-Text.
- Custom Jira field mappings may require JavaScript code in Latenode.
- Integration performance depends on the Google Cloud Speech-To-Text and Jira API limits.