How to connect Kommo and Google Cloud Speech-To-Text
Create a New Scenario to Connect Kommo and Google Cloud Speech-To-Text
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 Kommo, triggered by another scenario, or executed manually (for testing purposes). In most cases, Kommo or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Kommo or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.

Add the Kommo Node
Select the Kommo node from the app selection panel on the right.

Kommo
Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Kommo node, select Google Cloud Speech-To-Text from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Speech-To-Text.

Kommo
⚙
Google Cloud Speech-To-Text
Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the Kommo and Google Cloud Speech-To-Text 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 Kommo and Google Cloud Speech-To-Text 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.

JavaScript
⚙
AI Anthropic Claude 3
⚙
Google Cloud Speech-To-Text
Trigger on Webhook
⚙
Kommo
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Kommo, Google Cloud Speech-To-Text, 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 Kommo and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Kommo and Google Cloud Speech-To-Text (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Kommo and Google Cloud Speech-To-Text
Kommo + Google Cloud Speech-To-Text + Slack: When a new lead is created in Kommo, the audio recording associated with the lead is sent to Google Cloud Speech-To-Text for transcription. The resulting text is then sent as a direct message to a specified user in Slack for review.
Kommo + Google Cloud Speech-To-Text + Google Sheets: When a new lead is created in Kommo, the call audio is sent to Google Cloud Speech-To-Text for analysis. Key phrases are extracted, and sentiment data is logged into a Google Sheet. This data is linked to the corresponding contact in Kommo by finding the contact and updating it.
Kommo and Google Cloud Speech-To-Text integration alternatives
About Kommo
Integrate Kommo with Latenode to automate sales processes. Trigger actions in other apps when deals change status, or create Kommo leads from form submissions. Build custom workflows with no-code tools or JavaScript, scaling your sales automation without complex coding. Use Latenode's visual editor to connect Kommo to your entire tech stack.
Related categories
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.
Related categories
See how Latenode works
FAQ Kommo and Google Cloud Speech-To-Text
How can I connect my Kommo account to Google Cloud Speech-To-Text using Latenode?
To connect your Kommo account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Kommo and click on "Connect".
- Authenticate your Kommo and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe customer calls into Kommo lead notes?
Yes, you can! Latenode automates this using Google Cloud Speech-To-Text. This captures vital insights, improving follow-up and lead qualification efficiency.
What types of tasks can I perform by integrating Kommo with Google Cloud Speech-To-Text?
Integrating Kommo with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribe voicemails left by leads and add them to Kommo.
- Analyze call recordings for sentiment and update lead scores.
- Create tasks in Kommo based on keywords spoken during customer interactions.
- Generate summaries of customer conversations for quick review.
- Route calls based on spoken intent identified by speech-to-text analysis.
How secure is my Kommo data when using Latenode integrations?
Latenode employs robust security measures, including encryption and access controls, to safeguard your Kommo data throughout all integrations.
Are there any limitations to the Kommo and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Transcription accuracy depends on audio quality and language clarity.
- Large volumes of audio processing may incur higher Google Cloud costs.
- Real-time transcription may experience slight latency depending on network conditions.