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

Add the Google Cloud Translate Node
Select the Google Cloud Translate node from the app selection panel on the right.

Google Cloud Translate
Configure the Google Cloud Translate
Click on the Google Cloud Translate node to configure it. You can modify the Google Cloud Translate URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Airparser Node
Next, click the plus (+) icon on the Google Cloud Translate node, select Airparser from the list of available apps, and choose the action you need from the list of nodes within Airparser.

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Authenticate Airparser
Now, click the Airparser node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Airparser settings. Authentication allows you to use Airparser through Latenode.
Configure the Google Cloud Translate and Airparser 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 Translate and Airparser 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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Airparser
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Save and Activate the Scenario
After configuring Google Cloud Translate, Airparser, 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 Translate and Airparser integration works as expected. Depending on your setup, data should flow between Google Cloud Translate and Airparser (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 Translate and Airparser
Airparser + Google Cloud Translate + Google Sheets: When a new document is uploaded to Airparser, extract the data, translate it to English using Google Cloud Translate, and then save the translated data into a new row in Google Sheets.
Airparser + Google Cloud Translate + Slack: When a new document is uploaded to Airparser, parse the document, translate the extracted customer feedback into English using Google Cloud Translate, and then send the translated feedback to a specified Slack channel.
Google Cloud Translate and Airparser integration alternatives
About Google Cloud Translate
Automate multilingual workflows with Google Cloud Translate in Latenode. Translate text on-the-fly within any automation: localize content from web forms, translate support tickets, or adapt marketing copy for global audiences. Integrate it into complex flows and control translation logic visually, with optional JS coding for custom rules.
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About Airparser
Airparser in Latenode extracts data from PDFs, emails, and documents. Automate data entry by feeding parsed content directly into your CRM or database. Use Latenode's logic functions to validate or transform data, then trigger actions like sending notifications or updating records. Scale document processing without complex code.
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See how Latenode works
FAQ Google Cloud Translate and Airparser
How can I connect my Google Cloud Translate account to Airparser using Latenode?
To connect your Google Cloud Translate account to Airparser on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Translate and click on "Connect".
- Authenticate your Google Cloud Translate and Airparser accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I translate parsed documents automatically?
Yes, you can! Latenode allows seamless automation, translating parsed text from Airparser using Google Cloud Translate in real-time. Automate workflows and eliminate manual translation efforts.
What types of tasks can I perform by integrating Google Cloud Translate with Airparser?
Integrating Google Cloud Translate with Airparser allows you to perform various tasks, including:
- Translating text extracted from scanned documents into multiple languages.
- Automating the translation of customer feedback parsed from online forms.
- Creating multilingual datasets from scraped website content automatically.
- Localizing marketing materials parsed from design files.
- Building translation workflows with added AI prompt enhancements in Latenode.
How secure is Google Cloud Translate integration on Latenode?
Latenode uses secure authentication protocols and encryption to protect your Google Cloud Translate credentials and data during integration and workflow execution.
Are there any limitations to the Google Cloud Translate and Airparser integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of data may be subject to Google Cloud Translate's rate limits.
- Complex document layouts in Airparser may require adjustments for accurate parsing.
- Custom glossaries from Google Cloud Translate are not directly supported.