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Create PDF Search Engine

To create a PDF search engine, you can follow these general steps:

  • Crawling and indexing: Start by crawling and indexing all the PDF files you want to include in your search engine. You can use a tool like Apache Nutch or Scrapy to accomplish this.
  • Text extraction: After you have indexed the PDF files, extract the text from each file so that it can be searched. You can use a library like PyPDF2 or pdfminer to extract text from PDFs.
  • Store the extracted text: Store the extracted text in a database, such as MySQL or MongoDB.
  • Index the text: Create an index of the text to make searching faster. You can use a tool like Apache Lucene or Elasticsearch to create the index.
  • Search interface: Finally, create a user-friendly interface for searching the indexed text. You can use a web framework like Flask or Django to build the interface.

Note: This is a high-level overview of the process, and each step can be complex and require a deep understanding of the technologies involved.

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