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pdf-text-extraction

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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.

  • Updated Jan 22, 2026
  • Jupyter Notebook

This repository implements an end-to-end NLP pipeline for legal documents, including OCR-based text extraction, neural language modeling from scratch (NumPy), sentence and document embeddings, extractive and abstractive summarization, grammar refinement, and semantic case similarity retrieval using cosine similarity.

  • Updated Feb 7, 2026
  • Jupyter Notebook

Serverless OCR & PDF Text Extraction microservice for Personal AI Factory v1. Built with TypeScript and Vercel Serverless Functions, using pdf-parse, and node-fetch for high-performance parsing of machine-readable PDFs. Supports extracting clean text from textual PDFs and exposes a clean HTTP API returning structured JSON output for downstream n8n.

  • Updated Jan 10, 2026
  • TypeScript

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