A package for parsing PDFs and analyzing their content using LLMs.
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- Python
#
pdfparser
Here are 31 public repositories matching this topic...
Extract tables from PDF files (port of tabula-java)
csharp dotnet table extract extraction netstandard pdfs tabula table-extraction pdfparser tabula-java pdf-table-extraction pdf-table-extract pdfpig extracting-tables extraction-engine extract-table tabula-sharp
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- C#
Fast and memory-efficient Python PDF Parser based on xpdf sources
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- Cython
A C# library to extract tabular data from PDFs (port of camelot Python version using PdfPig).
opencv csharp dotnet table extraction netstandard pdfs table-extraction camelot pdfparser pdf-table-extraction pdf-table-extract pdfpig extracting-tables extraction-engine extract-table camelot-sharp
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- C#
PDF Parser built in Rust
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- Rust
Python library to extract transaction data from Indian Mutual Fund CAS (Consolidated Account Statement) PDFs — supports CAMS and KFintech — into CSV, DataFrame, JSON, or dict
python personal-finance data-extraction india mutual-funds cams pdf-parser pdfparser pdfplumber kfintech cas-statement
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- Python
A Tkinter-based GUI that uses OpenAI's GPT-3.5-turbo to score resumes based on job descriptions. Users can upload PDF or DOCX files, and the application provides a relevance score, enhancing the job application process with AI assistance.
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- Python
This repository will assist you in scrapping data from multiple websites. It will identify, download and classify the latest pdf files published on a website as per the users requirement. This can be used for automating various operations involved in market research.
webscraping pdfs market-research urllib pdfminer pdfparser beautifulsoup4 nltk-python scrapping-data
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- Python
LLM for generating synthetic data from published papers
python pdfparser synthetic-dataset-generation streamlit-webapp huggingface-spaces llama-index openrouter-api dbtwin
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- Python
A simple WordPress PDF document manager.
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- JavaScript
A Laravel-based project for uploading bank statement PDFs, extracting their data, and converting it into an organized HTML format.
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- HTML
Extract text, images, tables, and metadata from PDF files using Python. Built with PyPDF2, PyMuPDF, pdfplumber, and pdfminer. Helpful for practicing document parsing and data extraction tasks.
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- Python
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