Grist and OCR Space Integration

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Automatically extract data from invoices and receipts using OCR Space, then organize and analyze it in Grist. Latenode's visual editor and affordable pay-by-execution pricing make complex financial automations easier to build and scale.

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Grist

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Grist and OCR Space

Create a New Scenario to Connect Grist and OCR Space

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

Add the Grist Node

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

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Configure the Grist

Click on the Grist node to configure it. You can modify the Grist URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Sign In

Run node once

Add the OCR Space Node

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

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Authenticate 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.

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Run node once

Configure the Grist and OCR Space 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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Run node once

Set Up the Grist and OCR Space 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 Grist, 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.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Grist and OCR Space integration works as expected. Depending on your setup, data should flow between Grist and OCR Space (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Grist and OCR Space

Google Drive + OCR Space + Grist: When a new receipt image is added to a specific Google Drive folder, OCR Space extracts the data from the receipt. The extracted data is then used to create a new record in a Grist ledger.

Google Drive + OCR Space + Slack: When a new invoice is uploaded to a specific folder in Google Drive, OCR Space processes the invoice to extract relevant data. Finally, a Slack message is sent to the accounting team, notifying them of the new invoice and extracted data.

Grist and OCR Space integration alternatives

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.

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.

See how Latenode works

FAQ Grist and OCR Space

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

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

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

Can I automate invoice data extraction into Grist?

Yes, you can! Latenode lets you automatically extract data from invoices using OCR Space and store it in Grist, streamlining your accounting workflows with no-code ease.

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

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

  • Automatically extracting data from scanned documents into Grist spreadsheets.
  • Creating searchable databases from image-based records using OCR.
  • Updating Grist records with information extracted from image attachments.
  • Processing handwritten forms and logging data into Grist.
  • Building an automated document management system with Grist as the backend.

Can I use JavaScript within my Grist automation workflows?

Yes! Latenode allows custom JavaScript blocks, extending Grist's capabilities. Process data or add sophisticated logic effortlessly.

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

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

  • OCR Space has usage limits based on your subscription tier.
  • Complex or low-quality images may result in inaccurate data extraction.
  • Grist's API imposes rate limits, which may affect high-volume workflows.

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