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Automatically extract invoice data from OCR Space and log billable hours in Streamtime. Latenode's visual editor makes customization simple, letting you integrate custom logic and scale affordably without extra fees.
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Create a New Scenario to Connect OCR Space and Streamtime
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 Streamtime will be your first step. To do this, click "Choose an app," find OCR Space or Streamtime, 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 Streamtime Node
Next, click the plus (+) icon on the OCR Space node, select Streamtime from the list of available apps, and choose the action you need from the list of nodes within Streamtime.
OCR Space
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Streamtime
Authenticate Streamtime
Now, click the Streamtime node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Streamtime settings. Authentication allows you to use Streamtime through Latenode.
Configure the OCR Space and Streamtime 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 Streamtime 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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Streamtime
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, Streamtime, 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 Streamtime integration works as expected. Depending on your setup, data should flow between OCR Space and Streamtime (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
OCR Space + Streamtime + Google Drive: When a new file is added to a specific Google Drive folder, OCR Space extracts the invoice data from the image. This data is then used to create a new job in Streamtime, and the original file is moved to a designated archive folder in Google Drive.
Streamtime + OCR Space + QuickBooks: When a job is completed in Streamtime, the automation searches for receipts in Google Drive using keywords from the Streamtime job. OCR Space extracts the expense data from these receipts and creates a new invoice in QuickBooks.
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 Streamtime
Streamtime project management inside Latenode: automate tasks like invoice creation based on project status, or sync time entries with accounting. Connect Streamtime to other apps via Latenode's visual editor and AI tools. Customize further with JavaScript for complex workflows. Manage projects and data automatically.
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How can I connect my OCR Space account to Streamtime using Latenode?
To connect your OCR Space account to Streamtime on Latenode, follow these steps:
Can I automatically create Streamtime projects from scanned invoices?
Yes! Latenode lets you use OCR Space to extract data from invoices, then create corresponding projects in Streamtime, saving time and ensuring accurate project setup.
What types of tasks can I perform by integrating OCR Space with Streamtime?
Integrating OCR Space with Streamtime allows you to perform various tasks, including:
How does Latenode enhance OCR Space data processing?
Latenode adds advanced logic, AI, and JavaScript code to clean and format OCR Space results before sending it to Streamtime.
Are there any limitations to the OCR Space and Streamtime integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: