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How to connect Google Cloud Speech-To-Text and Figma
Create a New Scenario to Connect Google Cloud Speech-To-Text and Figma
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 Figma will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Figma, 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.
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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 Figma Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Figma from the list of available apps, and choose the action you need from the list of nodes within Figma.
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Authenticate Figma
Now, click the Figma node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Figma settings. Authentication allows you to use Figma through Latenode.
Configure the Google Cloud Speech-To-Text and Figma 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 Figma 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 Google Cloud Speech-To-Text, Figma, 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 Figma integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Figma (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 Figma
Figma + Google Cloud Speech-To-Text + Slack: When a new comment is posted on a Figma design, the audio portion of the comment is transcribed using Google Cloud Speech-To-Text. The transcription is then sent as a message to a designated Slack channel.
Figma + Google Cloud Speech-To-Text + Jira: When a new comment is posted on a Figma design file, and that comment contains an audio attachment, the audio is transcribed using Google Cloud Speech-To-Text. A new Jira issue is then created with the transcription as the description, linking back to the Figma file.
Google Cloud Speech-To-Text and Figma 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 Figma
Automate design workflows by connecting Figma to Latenode. Extract design assets, update text layers based on database values, or trigger notifications on component changes. Scale design operations by automating repetitive tasks and integrating them into broader business processes using Latenode's visual editor and code customization options.
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FAQ Google Cloud Speech-To-Text and Figma
How can I connect my Google Cloud Speech-To-Text account to Figma using Latenode?
To connect your Google Cloud Speech-To-Text account to Figma 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 Figma accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate design feedback from audio using Google Cloud Speech-To-Text and Figma?
Yes, you can! Latenode lets you transcribe audio feedback with Google Cloud Speech-To-Text and automatically add it as comments to Figma designs, streamlining the review process.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Figma?
Integrating Google Cloud Speech-To-Text with Figma allows you to perform various tasks, including:
- Transcribing voice notes directly into Figma design comments.
- Generating design specifications from audio recordings.
- Creating automated documentation for Figma prototypes using voice.
- Implementing voice-controlled navigation within Figma designs.
- Analyzing voice feedback to improve design accessibility.
Can I control the accuracy of Google Cloud Speech-To-Text within Latenode?
Yes, Latenode lets you adjust Google Cloud Speech-To-Text parameters via code blocks for improved transcription accuracy based on audio type.
Are there any limitations to the Google Cloud Speech-To-Text and Figma integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Figma API rate limits can impact high-volume comment creation.
- The accuracy of transcriptions depends on audio quality.
