Welcome to Text Summarization Tool, a powerful application designed to extract text from PDF files and generate concise summaries using advanced Natural Language Processing (NLP) techniques. Built with Django, a popular frontend framework, Text Summarization Tool offers an intuitive interface for users to upload PDF documents, receive extracted text, and obtain summarized versions within a 500-word limit.
Text Summarization Tool streamlines the process of extracting textual content from PDF files and condensing it into succinct summaries. Whether you're dealing with lengthy research papers, reports, or articles, Text Summarization Tool provides a convenient solution for quickly accessing key information and insights. By leveraging NLP algorithms, the tool identifies essential passages and generates concise summaries that capture the essence of the original text.
PDF Text Extraction: Text Summarization Tool extracts textual content from uploaded PDF files, allowing users to access the information contained within.
Summarization in 500 Words: The tool generates summaries of extracted text, ensuring that the output remains concise and informative within a 500-word limit.
Natural Language Processing (NLP): Advanced NLP techniques are employed to analyze the extracted text and identify key sentences and phrases for inclusion in the summary.
Text Summarization Tool follows a straightforward process:
PDF Upload: Users upload PDF files containing the text they wish to summarize. Text Extraction: The tool extracts textual content from the uploaded PDF files, preserving the formatting and structure of the original documents. Summarization: Using NLP algorithms, Text Summarization Tool analyzes the extracted text and generates a summary comprising the most relevant and informative passages. Output: Users receive the summarized version of the text, presented in a clear and concise format within a 500-word limit.
To run Text Summarization Tool locally and experience its functionalities, follow these steps:
Clone the repository to your local machine. Install the required dependencies specified in the requirements.txt file. Navigate to the project directory and run the Django development server. Access the web application through your preferred web browser. Upload a PDF file containing the text you wish to summarize. Receive the extracted text and the summarized version within a 500-word limit.