Adalo

How to implement image compression in Adalo?

Learn simple ways to compress images in Adalo, boosting app performance and improving the user experience. Get your app running smoother in no time with these tips.

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Overview

Implementing image compression in Adalo is about shrinking image file sizes while keeping quality intact, boosting app performance, and cutting load times. Often, this calls for bringing in outside services or tools since Adalo's built-in features might not directly support sophisticated image compression. By tapping into APIs or third-party software, developers can streamline the compression process within Adalo. This means images get optimized automatically before they hit the app. A solid strategy is to find dependable compression tools and set them up to blend effortlessly with Adalo’s database and components.

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How to implement image compression in Adalo?

Step 1: Prepare Your Image Compression Tool

First things first, you need to find and get ready an image compression API or service. Some popular choices are TinyPNG, ImageOptim, or even a custom solution using AWS Lambda with image processing libraries. Make sure you get the necessary API keys or setup details for integration.

Step 2: Create Your Adalo App

Log in to your Adalo account. Create a new app or open an existing one where you want to add image compression.

Step 3: Add a Form for Image Upload

Add a form component to your screen so users can upload images. Make sure the form has an "Image Picker" field so users can select images from their device.

Step 4: Setup Custom Actions

In the "Actions" section of Adalo, create a new custom action using an external API. Configure this custom action to connect to your chosen image compression service API. You'll need to provide the API endpoint, method (usually POST), and headers (including your API key).

Example headers for TinyPNG:

{
  "Content-Type": "application/json",
  "Authorization": "Bearer YOUR_API_KEY"
}

Step 5: Configure the API Payload

For the API payload, you'll generally need to send the image file. Configure the payload according to the API documentation of your chosen service. This usually involves sending the file as a base64-encoded string or as a form-data object.

Example TinyPNG payload:

{
  "url": "fileUploadUrl"
}

Step 6: Add the Custom Action to the Form

In the form settings, add the custom action you created to the form submission action sequence. Make sure the image file selected by the user is passed to the custom action.

Step 7: Retrieve and Store Compressed Image

After the custom action completes, retrieve the compressed image URL or file from the API response. Save this compressed image URL or file back into your Adalo database or any other storage solution you’re using.

Step 8: Display the Compressed Image

Use an image component or list in Adalo to display the compressed image from the stored URL. This way, users can see the optimized version of their upload.

Step 9: Test the Complete Process

Test the entire workflow by uploading various images through the form. Confirm that the images are correctly compressed via the API, stored in the database, and then displayed back in your app.

Following these steps ensures an effective and user-friendly image compression implementation in Adalo.

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