PostgreSQL and OCR Space Integration

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Automatically extract data from invoices or receipts using OCR Space, then seamlessly store and manage it in your PostgreSQL database. Latenode’s visual editor and affordable execution-based pricing make this complex workflow simple and cost-effective, even at scale, while using your own API keys.

Swap Apps

PostgreSQL

OCR Space

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and OCR Space

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

Add the PostgreSQL Node

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

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PostgreSQL

Configure the PostgreSQL

Click on the PostgreSQL node to configure it. You can modify the PostgreSQL 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 PostgreSQL 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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Configure the PostgreSQL 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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The action ID

Run node once

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

OCR Space + PostgreSQL + Google Sheets: When a new image is uploaded, OCR Space extracts the text. This data is then used to insert a new row into a PostgreSQL database and added as a new row in a Google Sheet for structured storage and analysis.

OCR Space + PostgreSQL + Slack: A new file triggers OCR Space to extract text from it. The extracted data updates a PostgreSQL database. Finally, Slack sends a summary message to a specified channel, notifying users of the update.

PostgreSQL and OCR Space integration alternatives

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

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 PostgreSQL and OCR Space

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

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

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

Can I automate invoice data extraction using PostgreSQL and OCR Space integration?

Yes, you can! Latenode’s visual editor simplifies workflow creation, letting you automatically save extracted data from invoices processed by OCR Space directly into your PostgreSQL database.

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

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

  • Automatically update a database with data extracted from scanned documents.
  • Create searchable archives of scanned images with metadata in PostgreSQL.
  • Process and store data from expense reports directly into a database.
  • Extract text from PDFs and save it into a structured PostgreSQL table.
  • Build a system to validate data from images against PostgreSQL records.

How does Latenode handle large-scale PostgreSQL data transformations?

Latenode excels at scaling data workflows. Use JavaScript code blocks for complex transformations, processing millions of PostgreSQL records efficiently.

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

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

  • Free OCR Space accounts have usage limits that may affect workflow volume.
  • Complex document layouts may require fine-tuning of OCR Space parameters.
  • PostgreSQL database size and performance can impact overall workflow speed.

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