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Extract data from images found via Serper by using OCR Space in Latenode. Build custom logic to process search results and image text using JavaScript, then scale affordably with execution-based pricing.
Connect Serper and OCR Space in minutes with Latenode.
Create Serper to OCR Space workflow
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Create a New Scenario to Connect Serper 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 Serper, triggered by another scenario, or executed manually (for testing purposes). In most cases, Serper or OCR Space will be your first step. To do this, click "Choose an app," find Serper or OCR Space, and select the appropriate trigger to start the scenario.
Add the Serper Node
Select the Serper node from the app selection panel on the right.
Serper
Add the OCR Space Node
Next, click the plus (+) icon on the Serper node, select OCR Space from the list of available apps, and choose the action you need from the list of nodes within OCR Space.
Serper
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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 Serper 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 Serper 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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Serper
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Serper, 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 Serper and OCR Space integration works as expected. Depending on your setup, data should flow between Serper and OCR Space (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Serper + OCR Space + Google Sheets: This workflow searches Serper for competitor websites. It extracts text from screenshots of those websites using OCR Space. Finally, it adds the extracted text to a Google Sheet for data logging.
OCR Space + Serper + Slack: When a document is scanned and processed by OCR Space to extract text, the extracted text is then used as a query for a Serper Google Search. The search results are then sent to a designated Slack channel.
About Serper
Need search engine data in your flows? Serper in Latenode lets you grab SERP results automatically. Track rankings, monitor competitors, or extract data points for AI. Latenode adds scaling power, version control, and team collaboration to your SEO workflows, all while keeping your API keys secure. Automate SEO tasks visually and efficiently.
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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 Serper account to OCR Space using Latenode?
To connect your Serper account to OCR Space on Latenode, follow these steps:
Can I extract text from images found via Serper?
Yes, easily! Latenode automates this by connecting Serper image search results directly to OCR Space, extracting text and streamlining data collection from visual search.
What types of tasks can I perform by integrating Serper with OCR Space?
Integrating Serper with OCR Space allows you to perform various tasks, including:
How accurate is text extraction with Serper-sourced images?
Accuracy depends on image quality. Latenode allows pre-processing via JavaScript for enhanced OCR results, improving data fidelity.
Are there any limitations to the Serper and OCR Space integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: