Based on Foxit Quick PDF Library,python interface
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Updated
Apr 4, 2020 - Python
Based on Foxit Quick PDF Library,python interface
A simple demonstration of how you can implement retrieval augmented generation (RAG) for a book.
PDF 문서에서 GPU 가속 처리로 고품질 질의응답(QA) 데이터를 자동 생성하고 LLM을 효율적으로 파인튜닝하는 솔루션입니다. Unstructured 라이브러리와 AWS Bedrock Claude로 도메인 특화 QA 쌍을 생성하고, LoRA 기법으로 경량 모델을 훈련합니다.
Converts scanned documents and ordinary documents into speech mp3 using Amazon Polly
A Telegram bot which extract Text from PDF, also extract the Images of PDF Pages. Made with Python
CLI for merging PDF contexts.
NLP Pdf Minning Extracting text from pdf
Highlights the key matches between your Given PDF and the description text
Opinionated and Sophisticated Document Region Analyzer.
UnchainedText: Break free from PDFs! Easily extract raw text to .txt for preprocessing.
PDF Text Finder Console App along with page number
A Python-based tool for extracting structured data from PDFs using OCR and regex, and exporting it to CSV. Ideal for processing invoices, logs, or scanned documents into organized, usable datasets.
A resume parser that extracts key details from PDF files using Groq's LLM
Extracts Data from provided PDF using key words to identify relevant datapoints. Using UglyToad PDFPIG(great lib btw)
A robust, modular web crawler built in Python for extracting and saving content from websites. This crawler is specifically designed to extract text content from both HTML and PDF files, saving them in a structured format with metadata.
This is for Technology Application Project at Swinburne University of Technology
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