This application intelligently processes and analyzes company information from PDFs using AI, providing users with quick and insightful data access through a Streamlit-based chat interface. Ideal for professionals needing efficient document analysis and decision-making support.
AI-Powered PDF Information Extractor Overview This Streamlit-based application harnesses the power of AI to extract and analyze company information from PDF documents. Designed to streamline data processing for professionals, it offers a user-friendly chat interface for efficient document analysis and decision-making support.
Features AI-Driven Data Extraction: Utilizes advanced algorithms to parse and extract key information from PDFs. Interactive Chat Interface: Engage with the data through a GPT-powered chat, making the analysis conversational and user-friendly. Comprehensive Data Analysis: Provides detailed summaries, insights, and relevant information extracted from documents. Streamlit Integration: Leverages Streamlit for an intuitive and responsive user interface. Installation Clone the repository:
git clone [repository-url] Install dependencies:
pip install -r requirements.txt Usage Launch the Streamlit app:
streamlit run app.py Upload PDF documents via the user interface. Use the chat interface to input queries and receive AI-generated insights and summaries based on the PDF content. Technologies Used Python Streamlit OpenAI's GPT Models PyMuPDF LLM Sherpa's LayoutPDFReader License This project is licensed under the MIT License.
Contributions Contributions, issues, and feature requests are welcome. Feel free to check the issues page for open issues or submit new ones.