![]() ![]() ![]() Note that these techniques are applied based on the type of PDFs we are using therefore before diving into these algorithms and methods, let us discuss the types of PDFs we regularly encounter. #1 Text-based: Text-based PDF documents are PDF documents that contain text only no images, no special fonts or graphics, just plain text that can be read by anyone with a computer and a PDF reader. It is easy to convert text-based PDFs into searchable PDFs by using OCR or software such as Abode Acrobat. However, we might have some complications when there are elements like tables, charts, etc. # 2 Image-based PDF: Image-based PDF documents are created by importing images into a PDF document. This is typically done by scanning a paper document and importing the scanned image into a PDF document. Documents created with images can be rather large and can be challenging to search. Image-based PDFs cannot be indexed by search engines such as Google. In the next section, let us look at different ways we can make PDFs searchable However, there are ways to make image-based PDFs searchable using optical character recognition (OCR) technology. Want to make contents in your PDF documents searchable? With Nanonets, all the documents you upload and process are made searchable and you can search for any information in any of your documents in your database. We can leverage different tools and software to convert any PDF into a searchable PDF, but as discussed, one must be clear on the type of PDF they are working with before applying any technique. Now, let us look at how we can leverage Adobe Acrobat to generate a searchable PDF.Ģ. From the menu bar, select File -> Enhance -> Edit with OCR.ģ. Then, choose the correct technique and language from the boxes. After selecting the correct method and terminology, click on the Enhance button. Wait for a while for OCR to detect the text in the PDF file.Ĥ. ![]()
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