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Automatically process documents: Extract text from images stored in Amazon S3 using OCR Space, then use Latenode's visual editor to build custom logic, transform data, and scale affordably without complex coding.
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Create a New Scenario to Connect Amazon S3 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 Amazon S3, triggered by another scenario, or executed manually (for testing purposes). In most cases, Amazon S3 or OCR Space will be your first step. To do this, click "Choose an app," find Amazon S3 or OCR Space, and select the appropriate trigger to start the scenario.
Add the Amazon S3 Node
Select the Amazon S3 node from the app selection panel on the right.
Amazon S3
Configure the Amazon S3
Click on the Amazon S3 node to configure it. You can modify the Amazon S3 URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OCR Space Node
Next, click the plus (+) icon on the Amazon S3 node, select OCR Space from the list of available apps, and choose the action you need from the list of nodes within OCR Space.
Amazon S3
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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 Amazon S3 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 Amazon S3 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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Amazon S3
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Amazon S3, 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 Amazon S3 and OCR Space integration works as expected. Depending on your setup, data should flow between Amazon S3 and OCR Space (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Amazon S3 + OCR Space + Google Sheets: When a new file is added to an Amazon S3 bucket, the file (presumably an invoice) is sent to OCR Space to extract the text. Then, the extracted text data is added as a new row in a Google Sheets spreadsheet for accounting purposes.
OCR Space + Amazon S3 + Slack: When OCR Space converts a scanned document into text, the resulting text file is stored in an Amazon S3 bucket. After the file is uploaded to S3, a message is sent to a designated Slack channel to notify users that the conversion is complete and the file is available.
About Amazon S3
Automate S3 file management within Latenode. Trigger flows on new uploads, automatically process stored data, and archive old files. Integrate S3 with your database, AI models, or other apps. Latenode simplifies complex S3 workflows with visual tools and code options for custom 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 Amazon S3 account to OCR Space using Latenode?
To connect your Amazon S3 account to OCR Space on Latenode, follow these steps:
Can I automatically process invoices stored in Amazon S3 using OCR Space?
Yes, you can. Latenode's visual editor makes this easy; automatically extract invoice data and store it in a database—saving time and reducing manual data entry errors.
What types of tasks can I perform by integrating Amazon S3 with OCR Space?
Integrating Amazon S3 with OCR Space allows you to perform various tasks, including:
How does Latenode handle large files stored in Amazon S3 for OCR processing?
Latenode efficiently handles large files by streaming data, avoiding memory issues and enabling scalable processing of large Amazon S3 documents.
Are there any limitations to the Amazon S3 and OCR Space integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: