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Automate document processing by using Converter to standardize file types and OCR Space to extract text, building advanced workflows visually on Latenode. Easily customize the logic of each step with JavaScript and scale affordably.
Connect Converter and OCR Space in minutes with Latenode.
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Converter, triggered by another scenario, or executed manually (for testing purposes). In most cases, Converter or OCR Space will be your first step. To do this, click "Choose an app," find Converter or OCR Space, and select the appropriate trigger to start the scenario.

Select the Converter node from the app selection panel on the right.

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

Converter
β
OCR Space
Now, click the OCR Space node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OCR Space settings. Authentication allows you to use OCR Space through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
β
AI Anthropic Claude 3
β
OCR Space
Trigger on Webhook
β
Converter
β
β
Iterator
β
Webhook response
After configuring Converter, OCR Space, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Converter and OCR Space integration works as expected. Depending on your setup, data should flow between Converter and OCR Space (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Drive + Converter + Google Drive: When a new file is added to a specific folder in Google Drive, it is automatically converted to a specified format using the Converter app. The converted file is then saved back to a different folder in Google Drive.
Google Drive + OCR Space + Slack: When a new file is added to a Google Drive folder, the OCR Space app extracts the text from the image or PDF. The extracted text is then sent to a dedicated Slack channel for the accounting team to review.
About Converter
Need to standardize file formats? Integrate Converter in Latenode to automatically transform documents as part of any workflow. Convert PDFs to text, images to vector graphics, and more. Automate data entry, content repurposing, or reporting pipelines with no-code ease and JavaScript customization. Stop juggling formats manually.
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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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How can I connect my Converter account to OCR Space using Latenode?
To connect your Converter account to OCR Space on Latenode, follow these steps:
Can I automate document processing using Converter and OCR Space integration?
Yes, you can! Latenode lets you visually build powerful automated workflows, dramatically speeding up document processing with Converter and OCR Space.
What types of tasks can I perform by integrating Converter with OCR Space?
Integrating Converter with OCR Space allows you to perform various tasks, including:
How can I handle large volumes of files using Converter on Latenode?
Latenode allows you to process files in bulk and scale your workflows. Use parallel processing to handle high volumes effectively.
Are there any limitations to the Converter and OCR Space integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: