OCR Space and Grist Integration

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Automate data extraction from documents with OCR Space, then seamlessly organize and analyze it in Grist. Latenode's visual editor and JavaScript support let you refine the data flow, while affordable execution-based pricing makes scaling document processing cost-effective.

Swap Apps

OCR Space

Grist

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and Grist

Create a New Scenario to Connect OCR Space and Grist

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 OCR Space, triggered by another scenario, or executed manually (for testing purposes). In most cases, OCR Space or Grist will be your first step. To do this, click "Choose an app," find OCR Space or Grist, 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.

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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.

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OCR Space

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Connect OCR Space

Sign In

Run node once

Add the Grist Node

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

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Grist

Authenticate Grist

Now, click the Grist node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Grist settings. Authentication allows you to use Grist through Latenode.

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Connect Grist

Sign In

Run node once

Configure the OCR Space and Grist Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Grist Oauth 2.0

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The action ID

Run node once

Set Up the OCR Space and Grist 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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Save and Activate the Scenario

After configuring OCR Space, Grist, 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 OCR Space and Grist integration works as expected. Depending on your setup, data should flow between OCR Space and Grist (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect OCR Space and Grist

OCR Space + Grist + Slack: Automatically extract text from invoices using OCR Space. Store the extracted data as new records in a Grist database. Then, notify the accounting team in a Slack channel about the new invoice entry.

OCR Space + Grist + Google Sheets: Digitize contract text from scanned documents using OCR Space. Save the extracted contract data into a structured format in Grist. Update a summary sheet in Google Sheets with key information from the new Grist entry, such as contract value or expiration date.

OCR Space and Grist integration alternatives

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.

About Grist

Use Grist in Latenode to build custom data dashboards and manage complex data sets within your automation workflows. Trigger flows based on Grist updates, or write data back to Grist after processing. Add custom logic with JavaScript and scale without per-step fees, creating powerful data-driven automations.

See how Latenode works

FAQ OCR Space and Grist

How can I connect my OCR Space account to Grist using Latenode?

To connect your OCR Space account to Grist on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select OCR Space and click on "Connect".
  • Authenticate your OCR Space and Grist accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically extract data and update spreadsheets?

Yes, using Latenode. Automatically extract text from invoices with OCR Space and update Grist in real-time. Scale your automation using advanced logic and built-in JavaScript blocks.

What types of tasks can I perform by integrating OCR Space with Grist?

Integrating OCR Space with Grist allows you to perform various tasks, including:

  • Automatically populate Grist with data from scanned documents.
  • Create searchable databases from image-based text.
  • Extract data from receipts and track expenses in Grist.
  • Process scanned applications and update applicant tracking.
  • Automate data entry from paper forms into digital spreadsheets.

What file types work with OCR Space using the Latenode integration?

OCR Space on Latenode supports common image formats such as JPG, PNG, and PDF. Leverage Latenode's file parsing blocks for other formats.

Are there any limitations to the OCR Space and Grist integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • OCR accuracy can vary based on image quality and text clarity.
  • Large volumes of OCR processing may require a higher tier OCR Space subscription.
  • Complex Grist data structures might need custom JavaScript for optimal integration.

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