OCR Space and Microsoft Excel Integration

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Automate data entry by extracting text from images with OCR Space and instantly logging it into Microsoft Excel. Latenode's visual editor simplifies setup, while affordable execution-based pricing makes scaling this workflow budget-friendly.

Swap Apps

OCR Space

Microsoft Excel

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and Microsoft Excel

Create a New Scenario to Connect OCR Space and Microsoft Excel

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 Microsoft Excel will be your first step. To do this, click "Choose an app," find OCR Space or Microsoft Excel, 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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Run node once

Add the Microsoft Excel Node

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

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Authenticate Microsoft Excel

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

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Configure the OCR Space and Microsoft Excel 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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Microsoft Excel Oauth 2.0

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Run node once

Set Up the OCR Space and Microsoft Excel 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, Microsoft Excel, 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 Microsoft Excel integration works as expected. Depending on your setup, data should flow between OCR Space and Microsoft Excel (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 Microsoft Excel

OCR Space + Microsoft Excel + Google Drive: When a new image is added, OCR Space converts the image into text. That text is then added as a new row in a Microsoft Excel spreadsheet. Finally, the Excel spreadsheet is uploaded to Google Drive.

Microsoft Excel + OCR Space + Slack: When a new row is added to a Microsoft Excel spreadsheet, OCR Space converts the data into text or PDF, and a message is sent to a Slack channel.

OCR Space and Microsoft Excel 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 Microsoft Excel

Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.

See how Latenode works

FAQ OCR Space and Microsoft Excel

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

To connect your OCR Space account to Microsoft Excel 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 Microsoft Excel accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I extract data from scanned invoices and add it to Excel?

Yes, you can! Latenode's visual editor simplifies this. Automatically extract invoice data with OCR Space and populate your Excel sheets, saving time and reducing manual entry.

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

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

  • Automatically updating Excel sheets with data extracted from scanned documents.
  • Creating searchable Excel logs from image-based receipts.
  • Populating Excel databases with information from scanned business cards.
  • Tracking expenses by extracting data from scanned receipts into Excel.
  • Converting scanned tables into editable Excel spreadsheets.

How does Latenode handle large volumes of OCR Space documents?

Latenode’s scalable infrastructure efficiently processes large batches using parallel processing and optimized resource allocation for fast OCR.

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

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

  • Complex or poorly scanned documents may impact OCR Space accuracy.
  • Rate limits of OCR Space and Microsoft Excel APIs may affect processing speed.
  • Excel files over a certain size may cause performance issues.

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