Indigo PDF offers a unique feature for detecting and splitting scanned photos from a PDF document. This feature is particularly useful when dealing with scanned documents that include photos, images, or illustrations. Here are the steps to use this feature in Indigo PDF:

1. Select PDF for Photo Detection and Splitting:
   • Use the application’s file selection or upload feature to choose the PDF document that contains scanned photos you want to detect and split.
2. Configure Detection Settings:
   • Indigo PDF provides various settings to fine-tune the photo detection process:
     • Angle Threshold: This setting defines the minimum absolute angle required for the image to be considered rotated. The default value is usually set to 10 degrees.
     • Tolerance: Tolerance determines the range of color variation around the estimated background color. The default value is typically 30.
     • Minimum Area: Set the minimum area threshold for a photo to be recognized. The default value is often 10,000 square units.
     • Minimum Contour Area: This setting specifies the minimum contour area required for a photo to be detected.
     • Border Size: Define the size of the border that will be added and removed to prevent white borders in the output. The default size is typically set to 1 unit.
3. Submit for Photo Detection and Splitting:
   • After configuring the detection settings, click the “Submit” or “Start Detection” button to initiate the process of detecting and splitting scanned photos.
4. Download the Split Images:
   • Once the photo detection and splitting process is complete, you will be prompted to download the split images. Choose a destination folder on your computer to save the individual photo files.
5. Confirmation:
   • You will receive confirmation that the scanned photos have been successfully detected and split into separate images. The images are ready for use or further processing.

By following these steps, you can efficiently detect and split scanned photos from a PDF using Indigo PDF. This feature is valuable for tasks like digitizing old photo albums or extracting images from scanned documents.