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Automatically extract text from scanned documents with OCR Space, then structure and store that data in MySQL using Latenode's visual editor and affordable execution pricing. Scale document processing without complex coding.
Connect MySQL and OCR Space in minutes with Latenode.
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Create a New Scenario to Connect MySQL and OCR Space
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a MySQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, MySQL or OCR Space will be your first step. To do this, click "Choose an app," find MySQL or OCR Space, and select the appropriate trigger to start the scenario.
Add the MySQL Node
Select the MySQL node from the app selection panel on the right.
MySQL
Add the OCR Space Node
Next, click the plus (+) icon on the MySQL node, select OCR Space from the list of available apps, and choose the action you need from the list of nodes within OCR Space.
MySQL
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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.
Configure the MySQL 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.
Set Up the MySQL and OCR Space Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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OCR Space
Trigger on Webhook
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MySQL
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring MySQL, OCR Space, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the MySQL and OCR Space integration works as expected. Depending on your setup, data should flow between MySQL and OCR Space (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
OCR Space + MySQL + Google Sheets: When a new image is uploaded, OCR Space converts it to text, which is then stored in a MySQL database. Finally, a summary of the extracted data is added to a Google Sheet.
OCR Space + MySQL + Slack: When a new invoice image is received, OCR Space digitizes the invoice data and saves it to a MySQL database. Then, Slack sends a notification to the accounting team about the new invoice.
About MySQL
Use MySQL in Latenode to automate database tasks. Read, update, or create records based on triggers from other apps. Streamline data entry, reporting, or inventory management. Latenode's visual editor simplifies MySQL integrations, allowing you to build scalable workflows with no-code tools or custom JavaScript logic.
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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.
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How can I connect my MySQL account to OCR Space using Latenode?
To connect your MySQL account to OCR Space on Latenode, follow these steps:
Can I automatically archive scanned invoices in MySQL?
Yes, you can! Latenode enables this automation, extracting data from invoices via OCR Space and storing it in MySQL. Benefit: streamlined bookkeeping and faster data retrieval.
What types of tasks can I perform by integrating MySQL with OCR Space?
Integrating MySQL with OCR Space allows you to perform various tasks, including:
HowdoIoptimizeMySQLquerieswithinLatenodeforfasterprocessing?
Latenode allows you to use JavaScript blocks to pre-process data before sending it to MySQL, dramatically improving query performance and reducing database load.
Are there any limitations to the MySQL and OCR Space integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: