Purpose
This LurnyMagic page allows content creators to transform an image into a structured, bite-sized learning experience. Lurny analyses the information visible in the image and generates relevant microlessons and knowledge checks.
Suitable source images may include:
Infographics
Diagrams and labelled illustrations
Posters and notices
Process charts
Product images
Educational graphics
Scanned learning material
Pages containing readable text
How to create the microlesson
Open Create a Microlesson from the left-side menu.
Select From Image.
Click Upload your image and choose the required image from your device.
Alternatively, drag the image from your device and drop it into the upload area.
Wait for the image to upload and be processed.
Follow the subsequent prompts to create the microlesson.
Lurny analyses the image, identifies its important content and converts it into an interactive learning experience.
Image upload options
Upload your image
Click this button to browse your device and select the image you want to use.
Drag and drop
Drag the required image file from your computer and release it inside the designated upload area.
Recent microlessons from images
The lower section displays microlessons and clusters previously generated from images. Each card may show:
The source or generated cover image
The microlesson title
Whether the content is a cluster
The number of items within the cluster
The number of learning stubs
The number of quizzes
Selecting a card allows the creator to open and manage the generated content.
Recommended practices
Use a clear, high-resolution image.
Ensure that text in the image is large and readable.
Crop out unrelated information before uploading.
Use images with a logical educational purpose rather than purely decorative visuals.
Avoid blurred, distorted or heavily compressed images.
Check that labels and annotations are clearly connected to the correct elements.
Review all AI-generated content for accuracy before publishing.
Important: The quality of the generated microlesson depends on the clarity, readability and amount of meaningful information contained in the source image. Handwritten, blurred or visually crowded images may produce less accurate results.