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Automatically track fitness milestones by extracting distance from OCR Space images of treadmills or other displays, then log the data in Strava, all within Latenode's visual editor. Scale affordably by paying only for execution time to enhance fitness data tracking.
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In the workspace, click the “Create New Scenario” button.

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a OCR Space, triggered by another scenario, or executed manually (for testing purposes). In most cases, OCR Space or Strava will be your first step. To do this, click "Choose an app," find OCR Space or Strava, and select the appropriate trigger to start the scenario.

Select the OCR Space node from the app selection panel on the right.

OCR Space
Click on the OCR Space node to configure it. You can modify the OCR Space URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the OCR Space node, select Strava from the list of available apps, and choose the action you need from the list of nodes within Strava.

OCR Space
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Strava
Now, click the Strava node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Strava settings. Authentication allows you to use Strava through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Strava
Trigger on Webhook
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OCR Space
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Iterator
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Webhook response
After configuring OCR Space, Strava, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the OCR Space and Strava integration works as expected. Depending on your setup, data should flow between OCR Space and Strava (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
OCR Space + Strava + Google Sheets: Extracts workout data from images using OCR Space, uploads it as a new activity to Strava, and then logs the Strava activity details in a Google Sheet.
OCR Space + Strava + Todoist: Scans a race bib image with OCR Space to extract the bib number, uploads race data to Strava, and creates a Todoist task to follow up on race performance.
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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About Strava
Bring Strava data into Latenode to track fitness activity as part of wellness programs or location-based workflows. Automatically log workout data, trigger follow-up actions based on performance metrics, or send personalized messages. Latenode enables complex automation without code, combining Strava with other apps for custom solutions.
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How can I connect my OCR Space account to Strava using Latenode?
To connect your OCR Space account to Strava on Latenode, follow these steps:
Can I automatically track mileage from scanned receipts?
Yes, you can! Latenode's advanced logic allows you to extract mileage from receipts via OCR Space and automatically log it in Strava. Benefit from automated data entry and comprehensive activity tracking.
What types of tasks can I perform by integrating OCR Space with Strava?
Integrating OCR Space with Strava allows you to perform various tasks, including:
How can I process many OCR Space documents on Latenode?
Latenode's architecture scales automatically, allowing you to process thousands of OCR Space documents without performance bottlenecks. Use parallel processing for speed.
Are there any limitations to the OCR Space and Strava integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: