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Automatically extract invoice data from OCR Space using Latenode's visual editor, then log billable hours in Harvest. Customize the data flow using JavaScript and pay only for execution time.
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Create a New Scenario to Connect OCR Space and Harvest
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a OCR Space, triggered by another scenario, or executed manually (for testing purposes). In most cases, OCR Space or Harvest will be your first step. To do this, click "Choose an app," find OCR Space or Harvest, and select the appropriate trigger to start the scenario.
Add the OCR Space Node
Select the OCR Space node from the app selection panel on the right.
OCR Space
Configure the OCR Space
Click on the OCR Space node to configure it. You can modify the OCR Space URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Harvest Node
Next, click the plus (+) icon on the OCR Space node, select Harvest from the list of available apps, and choose the action you need from the list of nodes within Harvest.
OCR Space
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Harvest
Authenticate Harvest
Now, click the Harvest node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Harvest settings. Authentication allows you to use Harvest through Latenode.
Configure the OCR Space and Harvest 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 OCR Space and Harvest Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Harvest
Trigger on Webhook
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OCR Space
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring OCR Space, Harvest, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the OCR Space and Harvest integration works as expected. Depending on your setup, data should flow between OCR Space and Harvest (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
OCR Space + Harvest + Google Sheets: When a new invoice image is processed by OCR Space, the extracted data is used to create a time entry in Harvest. The time entry details are then saved to a Google Sheet for tracking and reporting.
Harvest + OCR Space + QuickBooks: When a new time entry is created in Harvest for a contractor, invoice data is extracted from a related image using OCR Space. This data is used to create a bill in QuickBooks for contractor payment.
About OCR Space
Need to extract text from images or PDFs? Use OCR Space in Latenode to automatically process documents and integrate the data into your workflows. Automate invoice processing, data entry, or compliance checks. Latenode adds flexible logic, file parsing, and destinations to your OCR results, scaling beyond single-document processing.
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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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How can I connect my OCR Space account to Harvest using Latenode?
To connect your OCR Space account to Harvest on Latenode, follow these steps:
Can I automatically log billable hours from scanned invoices?
Yes, you can! Latenode allows seamless data transfer from OCR Space to Harvest. Automatically log billable hours using parsed data. Save time and reduce manual entry with this automation.
What types of tasks can I perform by integrating OCR Space with Harvest?
Integrating OCR Space with Harvest allows you to perform various tasks, including:
How does Latenode handle large volumes of OCR Space data?
Latenode's robust architecture efficiently handles large data volumes. Process thousands of documents without performance bottlenecks, leveraging scalable infrastructure.
Are there any limitations to the OCR Space and Harvest integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: