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

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Authenticate Github
Now, click the Github node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Github settings. Authentication allows you to use Github through Latenode.
Configure the Google Cloud Speech-To-Text and Github 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 Github 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Github, 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 Github integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Github (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 Github
Github + Google Cloud Speech-To-Text + Slack: When a new commit is created on GitHub, if the commit message contains a link to an audio file, the audio is transcribed using Google Cloud Speech-To-Text, and the transcription is sent as a message to a Slack channel.
Github + Google Cloud Speech-To-Text + Jira: When a new comment is added to a GitHub issue, and the comment includes an audio file, the audio is transcribed using Google Cloud Speech-To-Text. If the transcription contains keywords indicating action items, a new Jira issue is created.
Google Cloud Speech-To-Text and Github 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 Github
Automate code management with Github in Latenode. Trigger workflows on commits, pull requests, or issues. Build automated CI/CD pipelines, track code changes, and sync repo data with project management tools. Scale code-related automations easily and add custom logic with JavaScript nodes.
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FAQ Google Cloud Speech-To-Text and Github
How can I connect my Google Cloud Speech-To-Text account to Github using Latenode?
To connect your Google Cloud Speech-To-Text account to Github 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 Github accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio, then commit the transcript to a Github repository?
Yes, you can! Latenode makes it easy to automate this, updating your Github repo automatically after each successful transcription. Benefit from version control for your audio content.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Github?
Integrating Google Cloud Speech-To-Text with Github allows you to perform various tasks, including:
- Automatically create Github issues from transcribed customer support calls.
- Commit meeting transcripts to a Github repository for documentation.
- Generate code documentation from voice notes and store it on Github.
- Track the progress of audio projects through Github commit history.
- Analyze voice data from experiments and log results directly to Github.
How can Latenode help process large audio files with Speech-To-Text?
Latenode enables you to process very large files via batch processing and parallel execution, fully utilizing Google Cloud Speech-To-Text capabilities at scale.
Are there any limitations to the Google Cloud Speech-To-Text and Github integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Github API rate limits may affect high-volume commit operations.
- Ensure proper permissions are configured for both services.