.svg){kind=icon}
How to connect Google Cloud Speech-To-Text and ConvertKit
Create a New Scenario to Connect Google Cloud Speech-To-Text and ConvertKit
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 ConvertKit will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or ConvertKit, 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.
+
1
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 ConvertKit Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select ConvertKit from the list of available apps, and choose the action you need from the list of nodes within ConvertKit.
1
Google Cloud Speech-To-Text
⚙
+
2
ConvertKit
Authenticate ConvertKit
Now, click the ConvertKit node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your ConvertKit settings. Authentication allows you to use ConvertKit through Latenode.
Configure the Google Cloud Speech-To-Text and ConvertKit 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 ConvertKit 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.
5
JavaScript
⚙
6
AI Anthropic Claude 3
⚙
+
7
ConvertKit
1
Trigger on Webhook
⚙
2
Google Cloud Speech-To-Text
⚙
⚙
3
Iterator
⚙
+
4
Webhook response
Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, ConvertKit, 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 ConvertKit integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and ConvertKit (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 ConvertKit
Google Cloud Speech-To-Text + ConvertKit + Slack: When Google Cloud Speech-To-Text recognizes speech from an audio file, it adds the transcribed text as a note to a subscriber in ConvertKit and sends a notification to a Slack channel.
Google Cloud Speech-To-Text + OpenAI ChatGPT + ConvertKit: After Google Cloud Speech-To-Text transcribes an audio file, the text is sent to OpenAI ChatGPT to generate an email draft. The draft is then used to add a tag to a subscriber in ConvertKit.
Google Cloud Speech-To-Text and ConvertKit 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.
Similar apps
Related categories
About ConvertKit
Automate email marketing with ConvertKit in Latenode. Sync new subscribers, trigger campaigns based on events, and segment lists dynamically. Connect ConvertKit to any app via Latenode's visual editor. Enrich data and personalize flows with JavaScript, ensuring relevant messaging and optimized deliverability, without complex coding.
Similar apps
Related categories
See how Latenode works
.svg)
.png)
FAQ Google Cloud Speech-To-Text and ConvertKit
How can I connect my Google Cloud Speech-To-Text account to ConvertKit using Latenode?
To connect your Google Cloud Speech-To-Text account to ConvertKit 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 ConvertKit accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voicemails and add contacts to ConvertKit?
Yes, you can! Latenode allows you to automatically transcribe voicemails using Google Cloud Speech-To-Text and then instantly add the caller's information as a new subscriber in ConvertKit. Increase your lead generation effortlessly.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with ConvertKit?
Integrating Google Cloud Speech-To-Text with ConvertKit allows you to perform various tasks, including:
- Transcribing customer service calls and adding leads to ConvertKit.
- Automatically adding webinar attendees from speech data into ConvertKit lists.
- Creating personalized email sequences based on transcribed voice feedback.
- Analyzing call center data for sentiment and updating ConvertKit subscriber tags.
- Capturing spoken product feedback and triggering targeted ConvertKit campaigns.
How do I handle long audio files with Google Cloud Speech-To-Text on Latenode?
Latenode lets you process long audio via its file parsing capabilities, automatically breaking it into segments for Google Cloud Speech-To-Text and reassembling the transcription.
Are there any limitations to the Google Cloud Speech-To-Text and ConvertKit integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Cloud Speech-To-Text usage is subject to Google's pricing and API limits.
- ConvertKit's API may have rate limits that could affect high-volume automation.
- Transcription accuracy depends on audio quality and Google's language support.
