How to connect Launch27 and OCR Space
Create a New Scenario to Connect Launch27 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 Launch27, triggered by another scenario, or executed manually (for testing purposes). In most cases, Launch27 or OCR Space will be your first step. To do this, click "Choose an app," find Launch27 or OCR Space, and select the appropriate trigger to start the scenario.

Add the Launch27 Node
Select the Launch27 node from the app selection panel on the right.

Launch27
Configure the Launch27
Click on the Launch27 node to configure it. You can modify the Launch27 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 Launch27 node, select OCR Space from the list of available apps, and choose the action you need from the list of nodes within OCR Space.

Launch27
β
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 Launch27 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 Launch27 and OCR Space 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 donβt 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.

JavaScript
β
AI Anthropic Claude 3
β
OCR Space
Trigger on Webhook
β
Launch27
β
β
Iterator
β
Webhook response
Save and Activate the Scenario
After configuring Launch27, 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 Launch27 and OCR Space integration works as expected. Depending on your setup, data should flow between Launch27 and OCR Space (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Launch27 and OCR Space
Launch27 + OCR Space + Google Sheets: When a new booking is created in Launch27, the attached invoice image is extracted for address data using OCR Space, and the address is then added as a new row in a Google Sheet.
Email + OCR Space + Email: When a new email arrives with a customer feedback form attachment, the text is extracted from the image using OCR Space, and then automatically sent to customer support via email.
Launch27 and OCR Space integration alternatives
About Launch27
Automate Launch27 booking & service management within Latenode. Create flows that sync bookings with calendars, trigger follow-ups based on booking status, or generate reports. Use Latenode's visual builder & JS node for custom logic, connecting Launch27 data to other apps without code limits. Scale operations with affordable, usage-based pricing.
Similar apps
Related categories
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.
Similar apps
Related categories
See how Latenode works
FAQ Launch27 and OCR Space
How can I connect my Launch27 account to OCR Space using Latenode?
To connect your Launch27 account to OCR Space on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Launch27 and click on "Connect".
- Authenticate your Launch27 and OCR Space accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate invoice data extraction into Launch27?
Yes! Latenode lets you use OCR Space to automatically extract data from invoices and populate corresponding fields in Launch27, streamlining billing and record-keeping processes and saving significant time.
What types of tasks can I perform by integrating Launch27 with OCR Space?
Integrating Launch27 with OCR Space allows you to perform various tasks, including:
- Automatically extracting customer details from scanned documents into Launch27.
- Creating new customer profiles in Launch27 using data parsed from ID cards.
- Updating booking information in Launch27 based on data from received forms.
- Validating customer addresses using OCR and updating the Launch27 records.
- Processing handwritten feedback forms and storing insights in Launch27.
Can I use JavaScript to customize the Launch27 data transformation?
Yes, Latenode's JavaScript blocks allow for advanced data manipulation between Launch27 and other apps, ensuring precise control and customization of your workflows.
Are there any limitations to the Launch27 and OCR Space integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of documents can impact processing time based on the OCR Space API limits.
- Handwriting legibility significantly affects the accuracy of the OCR process.
- Complex document layouts may require custom parsing logic for optimal data extraction.