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

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Authenticate Canny
Now, click the Canny node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Canny settings. Authentication allows you to use Canny through Latenode.
Configure the Google Cloud Speech-To-Text and Canny 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 Canny 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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Canny
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, Canny, 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 Canny integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Canny (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 Canny
Google Cloud Speech-To-Text + Canny + Slack: Transcribe audio from customer feedback calls using Google Cloud Speech-To-Text, then create a post in Canny to suggest it as a feature request. Finally, send a message to a designated Slack channel notifying the relevant team about the new feature suggestion.
Canny + Google Cloud Speech-To-Text + Jira: When a Canny post reaches a specific number of votes, use Google Cloud Speech-To-Text to analyze audio recordings of related customer calls. Then, create a Jira ticket containing the insights gathered from the audio analysis to address the feature request.
Google Cloud Speech-To-Text and Canny 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 Canny
Integrate Canny with Latenode to automate feedback management. Capture user suggestions and bug reports directly, then route them to the right teams. Use AI to categorize input, update task trackers, and notify users of progress, automating the feedback loop and improving responsiveness.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Canny
How can I connect my Google Cloud Speech-To-Text account to Canny using Latenode?
To connect your Google Cloud Speech-To-Text account to Canny 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 Canny accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe customer feedback audio into Canny posts?
Yes, you can! Latenode allows this using no-code blocks or advanced features like JavaScript, automating the entire process and quickly turning voice data into actionable product insights.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Canny?
Integrating Google Cloud Speech-To-Text with Canny allows you to perform various tasks, including:
- Automatically transcribe audio feedback into searchable Canny posts.
- Create new Canny posts from voice notes using AI-powered workflows.
- Analyze transcribed feedback for sentiment and tag Canny posts accordingly.
- Route customer support call transcripts to Canny for product feature requests.
- Summarize lengthy audio feedback and post concise summaries to Canny.
How does Latenode handle large Google Cloud Speech-To-Text audio files?
Latenode efficiently processes large files using its serverless architecture. Process audio in chunks using advanced logic or JavaScript functions.
Are there any limitations to the Google Cloud Speech-To-Text and Canny integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The accuracy of transcriptions depends on the audio quality processed by Google Cloud Speech-To-Text.
- Canny API rate limits may affect the speed of posting large volumes of transcribed feedback.
- Advanced workflows require a solid understanding of Google Cloud Speech-To-Text and Canny APIs.