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How to connect Harvest and Google Cloud Speech-To-Text
Create a New Scenario to Connect Harvest 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 Harvest, triggered by another scenario, or executed manually (for testing purposes). In most cases, Harvest or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Harvest or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.
Add the Harvest Node
Select the Harvest node from the app selection panel on the right.
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Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Harvest 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.
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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 Harvest 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 Harvest 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.
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Save and Activate the Scenario
After configuring Harvest, 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 Harvest and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Harvest 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 Harvest and Google Cloud Speech-To-Text
Harvest + Google Cloud Speech-To-Text + Slack: When a timer is stopped in Harvest, the recorded meeting audio is transcribed using Google Cloud Speech-To-Text. A summary of the transcription is then sent to a designated Slack channel for review and time tracking purposes.
Google Cloud Speech-To-Text + Harvest + Google Docs: After transcribing audio using Google Cloud Speech-To-Text, create meeting notes in a Google Docs document and log the time spent in Harvest.
Harvest and Google Cloud Speech-To-Text integration alternatives
About Harvest
Automate time tracking with Harvest in Latenode. Sync time entries to accounting, payroll, or project management. Create flows that auto-generate invoices or trigger alerts for budget overruns. Latenode provides the flexibility to connect Harvest data to other apps and add custom logic, avoiding manual updates and delays.
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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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See how Latenode works
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FAQ Harvest and Google Cloud Speech-To-Text
How can I connect my Harvest account to Google Cloud Speech-To-Text using Latenode?
To connect your Harvest account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Harvest and click on "Connect".
- Authenticate your Harvest and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate time entry based on meeting recordings?
Yes, you can! Latenode allows for parsing meeting audio from Google Cloud Speech-To-Text and automatically creating time entries in Harvest, saving you time and ensuring accuracy.
What types of tasks can I perform by integrating Harvest with Google Cloud Speech-To-Text?
Integrating Harvest with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Generate Harvest time entries from transcribed meeting notes automatically.
- Analyze project time allocation using speech-to-text for activity categorization.
- Create invoices with detailed descriptions extracted from audio recordings.
- Log billable hours based on identified keywords within transcribed audio.
- Track project progress by analyzing spoken updates against time entries.
How secure is my Harvest data when using Latenode integrations?
Latenode employs robust security measures, including encryption and access controls, to safeguard your Harvest data throughout all integrations.
Are there any limitations to the Harvest and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files from Google Cloud Speech-To-Text may require longer processing times.
- Harvest API rate limits may impact the frequency of automated time entry creation.
- Advanced customization might need JavaScript knowledge within Latenode.
