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Automatically extract data from invoices scanned with OCR Space and create structured Fibery items using Latenode's visual editor. Scale affordably and skip complex code, leveraging Fibery’s power to manage extracted data and trigger actions.
Connect Fibery and OCR Space in minutes with Latenode.
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In the workspace, click the “Create New Scenario” button.

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

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

Fibery
Next, click the plus (+) icon on the Fibery node, select OCR Space from the list of available apps, and choose the action you need from the list of nodes within OCR Space.

Fibery
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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
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AI Anthropic Claude 3
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OCR Space
Trigger on Webhook
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Fibery
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Iterator
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Webhook response
After configuring Fibery, OCR Space, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Fibery and OCR Space integration works as expected. Depending on your setup, data should flow between Fibery and OCR Space (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
OCR Space + Fibery + Google Drive: When a new file is added to a specific folder in Google Drive, OCR Space extracts the text from the scanned invoice. This data is then used to create a new entity in Fibery, and the original invoice file is moved to a folder within Google Drive named after the Fibery project.
OCR Space + Fibery + Slack: When a new contract is uploaded, OCR Space extracts key clauses from it. The Fibery records related to the contract are then updated with the extracted information. Finally, a message is sent to a dedicated Slack channel, notifying the legal team of the updated Fibery record and linking to it.
About Fibery
Sync Fibery's structured data—tasks, projects, wikis—into Latenode for automated workflows. Trigger actions like sending notifications on status changes or updating other tools. Latenode adds logic and integrations Fibery lacks, building complex flows with no code. Automate cross-functional workflows beyond Fibery's native capabilities.
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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 Fibery account to OCR Space using Latenode?
To connect your Fibery account to OCR Space on Latenode, follow these steps:
Can I automatically extract data from invoices into Fibery?
Yes, using Latenode, you can automate invoice processing. Extract text with OCR Space and seamlessly update Fibery. Enjoy no-code setup and advanced JS functions for data transformation.
What types of tasks can I perform by integrating Fibery with OCR Space?
Integrating Fibery with OCR Space allows you to perform various tasks, including:
How does Latenode handle complex data structures within Fibery?
Latenode allows mapping nested fields and relationships directly. Leverage JavaScript code blocks for advanced transformations, ensuring data integrity across all workflows.
Are there any limitations to the Fibery and OCR Space integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: