![]() In addition, the programmer may also actively identify any image in the method parameters. ![]() The method automatically keeps track of images that it has already inserted elsewhere.The image will be scaled and placed such that its center and the rectangle center coincide.Īn optional image rotation by 90, 180 or 270 degrees can also be chosen.Ī lot of care is being taken to achieve best possible performance of the insertion process: That rectangle can be any size, and its width-height ratio can be different from that of the image. The method supports input from three different sources: image files, images in memory and MuPDF’s own image format Pixmap.Īn image can be inserted into a given rectangle on the page. You want to improve a PDF page with showing an image? Or put a company’s logo in the upper left corner of every page? Or add a watermark?Īll this can be done with just one method of PyMuPDF’s Page class: insert_image(). extract2 extracts images by page, applying similar selection criteria as the previous script.extract1 is a standalone script following the above strategy, additionally selecting images that are large enough, not unicolor and other criteria.We have created scripts you can choose from to achieve the best results: Out.write(img) # write the binary contentįor PDF documents other variations of this task are also available. Img = doc.extract_image(i) # extract it and store its content ![]() If doc.xref_get_key(i, "Subtype") != "/Image": # check if image # we will iterate through all objects in the PDF and select imagesįor i in range(1, xreflen): # do not access item 0 of the table Xreflen = doc.get_xreflength() # count of all objects in file By avoiding access to pages, we may successfully extract images even when internal structures of the PDF are incorrect – PDF damages unfortunately are not rare and mostly happen due to incomplete downloads via the internet.ĭoc = fitz.open("some.pdf") # open the PDF We iterate through the PDF’s object definitions and only select image objects. Extracting text or even accessing single pages is not required, because we can use PDF-specific information: Method 2 is available for PDF documents only. Out.write(block) # write the binary contentĪ lot of metadata is available in each image block, which can help you to select relevant images, avoid storing potential duplicates and more. Img_number = 0 # for enumerating images per pageįor block in page.get_text("dict"): Images are delivered as part of some page text extraction variants mentioned in the article Text Extraction with PyMuPDF.ĭoc = fitz.open("some.file") # open some supported document Method 1 is available for all document types – not just PDF. In all these situations PyMuPDF is there to help.
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