How to Extract Text from Images with Google Cloud Vision Using Pabbly Connect

Learn how to automate text extraction from images using Pabbly Connect, Google Cloud Vision, Dropbox, and Notion in this detailed tutorial. Explore efficient methods for automating routine tasks with clear, concise instructions suited for both newcomers and experienced professionals.

Watch Step By Step Video Tutorial Below

1. Introduction to Pabbly Connect for Image Text Extraction

Pabbly Connect serves as the central automation platform for extracting text from images using Google Cloud Vision. This tutorial will guide you through automating the process of extracting text from images stored in Dropbox and sending that data to Notion. using Pabbly Connect

By utilizing Pabbly Connect, you can streamline your workflow, allowing for seamless integration between Dropbox, Google Cloud Vision, and Notion. This automation ensures that every time you upload an image to Dropbox, the text is automatically extracted and organized in Notion.

2. Setting Up Pabbly Connect and Creating a Workflow

To begin, access your Pabbly Connect dashboard. If you don’t have an account, you can create one quickly through the free signup link provided. Once logged in, click on ‘Create Workflow’ and name it appropriately, such as ‘Dropbox to Google Cloud Vision to Notion’. using Pabbly Connect

After naming your workflow, you will see two windows: the trigger window and the action window. The trigger window is where you will specify that a new file upload in Dropbox will initiate the workflow. This is where Pabbly Connect plays a crucial role in monitoring Dropbox for new images.

• Click on ‘Choose App’ and select Dropbox.
• Select the event as ‘New File’ from the dropdown.
• Connect your Dropbox account to Pabbly Connect.

After setting up the trigger, input the folder path where your images are stored in Dropbox. For example, if your folder is named ‘images’, you will enter ‘/images’. This setup allows Pabbly Connect to monitor that specific folder for any new uploads.

3. Extracting Text Using Google Cloud Vision

Once Pabbly Connect detects a new image in Dropbox, the next step is to extract text from that image using Google Cloud Vision. In the action window, select Google Cloud Vision as the app and choose the action event as ‘Detect Text in Images’. using Pabbly Connect

To connect your Google Cloud Vision account, you will need an API key. This key can be obtained from your Google Cloud account by following the provided documentation link within Pabbly Connect. After obtaining the API key, paste it into Pabbly Connect to establish the connection.

• Select the image URL from the Dropbox response to map it for text extraction.
• Click ‘Save and Test Request’ to initiate the text extraction process.

After successfully mapping the image URL, Pabbly Connect will send the image to Google Cloud Vision, which will return the extracted text. This text can be directly viewed in Pabbly Connect’s response section.

4. Sending Extracted Text to Notion

With the text successfully extracted, the next step is to send this information to a Notion database. In the action window, add a new action step and select Notion as the app. Choose the action event ‘Create Database Item’. using Pabbly Connect

To connect to your Notion account, click on ‘Connect’ and allow access to the relevant Notion databases. After connecting, select the specific database where you want to store the extracted text and image details.

Map the URL of the image from Dropbox to the corresponding field in Notion. Map the extracted text from Google Cloud Vision to the content field in Notion. Map the date and time of the upload from Dropbox.

After mapping all necessary fields, click on ‘Save and Test Request’. This action will create a new item in your Notion database populated with the image details and extracted text, showcasing how Pabbly Connect effectively bridges these applications.

5. Testing and Finalizing Your Automation

Once your workflow is set up, it’s important to test the automation to ensure it works as intended. Upload a new image to the specified Dropbox folder and wait for Pabbly Connect to process the upload. Since the connection is polling-based, it may take a few minutes for Pabbly Connect to detect the new file. using Pabbly Connect

After waiting, check your Notion database to confirm that the new item has been created with the correct image details and extracted text. This final step validates that the integration is functioning correctly and that Pabbly Connect has successfully automated the process.

By following these steps, you can efficiently extract text from images using Google Cloud Vision and manage that data in Notion, all thanks to the seamless integration provided by Pabbly Connect. This automation not only saves time but also enhances productivity by organizing information effectively.

Conclusion

In this tutorial, we demonstrated how to use Pabbly Connect to automate the extraction of text from images using Google Cloud Vision, Dropbox, and Notion. This integration simplifies your workflow by allowing you to manage extracted text efficiently.