Starting Azure Form Recognizer OCR process.Īzure Form Recognizer finished OCR text for 1 pages. Sample script output is below: (base) C: emp>python fr_generate_searchable_pdf_v1.1_with_key.py input.jpg Execute script and pass input file (pdf or image) as parameter: python fr_generate_searchable_pdf.py.Update the key and endpoint variables with values from your Azure portal Form Recognizer instance (see Quickstart: Form Recognizer SDKs for more details).Create a Python file using the code below and save it on local machine as fr_generate_searchable_pdf.py.Please follow instruction based on your platform or use Conda install: conda install -c conda-forge poppler Package pdf2image requires Poppler installation.Python packages: pip install azure-ai-formrecognizer pypdf2>=3.0 reportlab pillow pdf2image.Please install the following packages before running searchable pdf script: In example below word “Transition” is now selectable using invisible text layer: They are invisible to make sure that produced searchable PDF looks identical to original PDF. The goal of this blog is to add invisible text elements into PDF, so users can search and select these elements. Image-based PDFs contain only image elements.

PDFs contain different types of elements: text, images, others. Image compression artifacts are typically seen around text by zooming in: If PDF is image-based ( example ), text cannot be searched or selected. In searchable PDF ( example ), text can be searched and selected, see text highlighting below: If PDF contains text information, user can select, copy/paste, annotate text in the PDF. In this blog post we will use text extracted by Form Recognizer to add it into PDF to make it searchable. Blog content:Īzure Form Recognizer is a cloud-based Azure Applied AI Service that uses deep machine-learning models to extract text, key-value pairs, tables, and form fields from your documents. The code will generate a searchable PDF file that will allow you to store the document anywhere, search within the document and copy and paste.

In this blog post, we demonstrate how to convert such PDFs into searchable PDFs with a simple and easy to use code and Azure Form Recognizer. There is no digital text in these PDFs, so they cannot be searched. Unfortunately, a lot of PDFs are created by scanning or converting images to PDFs. Text can be searched, highlighted, and annotated. Digitally created PDFs are very convenient to use. PDF documents are widely used in business processes.

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