JPedal Java PDF Viewer logo


JPedal is written in 100% Java and does not need additional platform-specific native libraries to be installed. If it runs Java 8 or above, it runs JPedal.

PDF files may contain images, which can be scaled or transformed, and then clipped before being displayed as part of the PDF page. JPedal allows you to extractive the raw version, the final version and the clipped raw version (with an option to scale).


An example of Clipped and Scaled images


Image extraction from PDF with JPedal

JPedal can extract images from PDF files. The image on the left has extracted from the PDF file on the right with JPedal. You can extract all clipped images from a PDF at the highest possible quality or generate copies in user configurable sizes. The number of images and sizes required are all user

Key Features


JPedal can:

Extract the raw image

JPedal can extract the raw images from a PDF file, before any scaling, transformation or clipping is applied. Sometimes this is the same as the final image, sometimes it will be very different. The image on the right shows a raw image extracted from a PDF file. The image has a background which is visible in the raw image but not in the final clipped version.

Using JPedal to extract images

Image extraction from PDF with JPedal

Extract the final image version as seen on the page

JPedal can extract images as they appear on the final PDF page. It applies any scaling, clipping, rotation, etc.

Extract clipped images

JPedal can extract images from the PDF file with a clip applied. It also allows you to apply scaling to clipped images. This is ideal for catalogues where a fixed image height is required. The image on the right has been extracted as a clipped image with the height set at 200 px.

Image extraction from PDF with JPedal



ExtractImages provides an API to extract and save images from a PDF file.

ExtractClippedImages provides an API for fully automated extraction of PDF page images as tif, png or jpeg with ability to define output dimensions and image quality.