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

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Authenticate ManyChat
Now, click the ManyChat node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your ManyChat settings. Authentication allows you to use ManyChat through Latenode.
Configure the Google Cloud Speech-To-Text and ManyChat 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 ManyChat 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, ManyChat, 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 ManyChat integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and ManyChat (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 ManyChat
ManyChat + Google Cloud Speech-To-Text + Google Sheets: When a new or updated custom field is registered in ManyChat (e.g., a voice message URL), Google Cloud Speech-To-Text transcribes the audio. The transcription is then added as a new row to a Google Sheet for analysis.
ManyChat + Google Cloud Speech-To-Text + OpenAI ChatGPT: When a user sends a voice message triggering a new or updated custom field in ManyChat, Google Cloud Speech-To-Text transcribes the audio. The transcribed text is then sent to OpenAI ChatGPT to generate a response, which is sent back to the user via ManyChat.
Google Cloud Speech-To-Text and ManyChat 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 ManyChat
Use ManyChat in Latenode to automate personalized messaging based on triggers from other apps. Sync contact data, manage chatbot flows based on CRM updates, or route leads to sales teams via Slack. Build flexible, scalable marketing automation without complex coding or per-step fees using Latenode’s visual editor.
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FAQ Google Cloud Speech-To-Text and ManyChat
How can I connect my Google Cloud Speech-To-Text account to ManyChat using Latenode?
To connect your Google Cloud Speech-To-Text account to ManyChat 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 ManyChat accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voice messages in ManyChat to trigger automated responses?
Yes, you can! Latenode allows seamless transcription of audio from ManyChat using Google Cloud Speech-To-Text, triggering customized bot flows. Analyze & react to customer needs instantly.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with ManyChat?
Integrating Google Cloud Speech-To-Text with ManyChat allows you to perform various tasks, including:
- Transcribing voice notes into text for sentiment analysis in automations.
- Creating searchable transcripts of customer voice messages.
- Triggering specific chatbot flows based on keywords from transcriptions.
- Automatically tagging conversations based on voice content analysis.
- Gathering voice-based feedback and routing it to relevant team members.
How does Latenode handle Google Cloud Speech-To-Text API authentication?
Latenode simplifies authentication using secure credential storage and managed API connections, reducing manual setup and improving security.
Are there any limitations to the Google Cloud Speech-To-Text and ManyChat 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 usage limits.
- Transcription accuracy can vary depending on audio quality and language complexity.
- ManyChat's API may have rate limits that can impact workflow execution speed.