OCR Space and Clockify Integration

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Automate time tracking from scanned documents by connecting OCR Space and Clockify in Latenode. Process receipts or invoices to log billable hours faster with affordable pay-by-execution pricing. Build custom workflows to streamline data capture using no-code blocks or JavaScript.

Swap Apps

OCR Space

Clockify

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OCR Space and Clockify

Create a New Scenario to Connect OCR Space and Clockify

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

Add the OCR Space Node

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

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OCR Space

Configure the 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.

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OCR Space

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Connect OCR Space

Sign In

Run node once

Add the Clockify Node

Next, click the plus (+) icon on the OCR Space node, select Clockify from the list of available apps, and choose the action you need from the list of nodes within Clockify.

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Clockify

Authenticate Clockify

Now, click the Clockify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Clockify settings. Authentication allows you to use Clockify through Latenode.

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OCR Space

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Clockify

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Connect Clockify

Sign In

Run node once

Configure the OCR Space and Clockify 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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Clockify Oauth 2.0

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The action ID

Run node once

Set Up the OCR Space and Clockify 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 OCR Space, Clockify, 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 OCR Space and Clockify integration works as expected. Depending on your setup, data should flow between OCR Space and Clockify (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect OCR Space and Clockify

OCR Space + Clockify + Google Sheets: When a new time entry is created in Clockify, use OCR Space to extract data from a receipt image. Then, store the extracted text and time entry details in a Google Sheets spreadsheet for expense tracking.

Clockify + OCR Space + Slack: When a new time entry is created in Clockify, if the time entry is billable, use OCR Space to extract data from related invoices and send a summary of the extracted text and billable time to a manager in Slack.

OCR Space and Clockify integration alternatives

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.

About Clockify

Track work hours in Clockify and automate reporting within Latenode. Log time entries, then trigger automated invoice creation, project updates, or performance dashboards. Centralize time tracking data in your workflows and reduce manual data entry. Use AI tools to analyze time data and optimize project timelines.

See how Latenode works

FAQ OCR Space and Clockify

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

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

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

Can I automate time tracking from scanned invoices using OCR Space and Clockify?

Yes, you can! Latenode allows you to extract data from invoices with OCR Space and automatically create time entries in Clockify, saving hours of manual data entry.

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

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

  • Automatically track time based on data extracted from scanned documents.
  • Create Clockify projects from information on scanned project proposals.
  • Update project budgets in Clockify using data extracted from invoices.
  • Log billable hours automatically based on scanned client contracts.
  • Generate time reports in Clockify with parsed data from expense reports.

What OCR Space features work best within Latenode automation workflows?

Latenode leverages OCR Space's image and PDF text extraction, empowering automated data flows into Clockify without code or manual setup.

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

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

  • OCR accuracy depends on the quality of the scanned documents.
  • Complex document layouts may require custom parsing logic.
  • Clockify API rate limits may affect large-scale data processing.

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