Post Turn a PDF into a Page Similarity Map with Python

Turn a PDF into a Page Similarity Map with Python Ever wondered which pages in a PDF contain similar content? You can analyze the text of every page and visualize their similarity using just a few Python libraries. https://link.amazon/B0aLij1sm The workflow is simple: PDF → Extract Text → TF-IDF → Cosine Similarity → Heatmap Using PyMuPDF (fitz), TfidfVectorizer, and cosine_similarity, you can: Extract text from every PDF page Convert page content into TF-IDF vectors Calculate similarity between every pair of pages Visualize the results as a similarity map Identify pages with closely related content This can be useful for document analysis, duplicate-page detection, research papers, PDFs, and text mining projects. A great example of combining Python + NLP + data visualization in a practical project.