Moco and OCR Space Integration

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Automate expense tracking: Extract data from receipts scanned with OCR Space, then log time and expenses directly into Moco. Latenode's visual editor and affordable pricing make it easier than ever to manage finances, plus customize the workflow with JavaScript for unique needs.

Swap Apps

Moco

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Moco and OCR Space

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

Add the Moco Node

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

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Moco

Configure the Moco

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

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Connect Moco

Sign In

Run node once

Add the OCR Space Node

Next, click the plus (+) icon on the Moco 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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OCR Space

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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OCR Space

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Connect OCR Space

Sign In

Run node once

Configure the Moco 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 Moco 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 Moco, 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 Moco and OCR Space integration works as expected. Depending on your setup, data should flow between Moco 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 Moco and OCR Space

OCR Space + Google Sheets + Moco: When OCR Space extracts text from an invoice, the information is added as a new row in Google Sheets. Moco is then used to find the corresponding company based on the invoice data.

OCR Space + Moco + Slack: When OCR Space extracts text from a document, use Moco to find a contact. If a contact is found, then send a notification to a Slack channel.

Moco and OCR Space integration alternatives

About Moco

Use Moco in Latenode to track time and expenses. Automate reporting, invoice creation, and project budget monitoring. Connect Moco to accounting or CRM systems for streamlined financial workflows. Build flexible, customized solutions without code, and scale automations as your business grows inside Latenode's visual environment.

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 Moco and OCR Space

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

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

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Moco and click on "Connect".
  • Authenticate your Moco 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 Moco?

Yes, you can! Latenode enables seamless automation, extracting invoice data from OCR Space and automatically updating project time in Moco, saving time and ensuring accuracy.

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

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

  • Automatically extract invoice details into Moco projects.
  • Process receipts and log expenses directly in Moco.
  • Digitize project-related documents and track time.
  • Create searchable archives of project documentation.
  • Update Moco tasks using data from scanned documents.

Can I use Moco webhooks to trigger OCR Space processing on Latenode?

Yes, you can. Latenode's webhook support allows real-time triggering of OCR Space whenever new data is added to Moco, making automation instant.

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

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

  • OCR Space has rate limits depending on your subscription plan.
  • The accuracy of OCR depends on the quality of the scanned document.
  • Complex document layouts might require custom parsing logic.

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