| | --- |
| | title: AI Invoice Processing System |
| | emoji: π |
| | colorFrom: blue |
| | colorTo: purple |
| | sdk: streamlit |
| | sdk_version: "1.28.0" |
| | app_file: app.py |
| | pinned: false |
| | license: mit |
| | --- |
| | |
| | # π AI Invoice Processing System |
| |
|
| | An intelligent document processing system that extracts structured data from invoices using AI and provides semantic search capabilities. |
| |
|
| | ## β¨ Features |
| |
|
| | - **π€ AI-Powered Extraction**: Advanced NLP models extract structured data from invoices |
| | - **π Semantic Search**: Natural language search with vector similarity |
| | - **π Smart Analytics**: Comprehensive visualizations and insights |
| | - **π¬ AI Chat Interface**: Ask questions about your invoices in natural language |
| | - **π Data Management**: Export and manage your processed invoice data |
| |
|
| | ## π How to Use |
| |
|
| | 1. **Upload Invoices**: Go to the "Upload & Process" tab and upload your PDF or text files |
| | 2. **AI Processing**: Watch as the AI extracts structured data automatically |
| | 3. **Chat with Your Data**: Use the AI chat to ask questions about your invoices |
| | 4. **Explore Analytics**: View comprehensive dashboards and insights |
| | 5. **Export Results**: Download your processed data in CSV or JSON format |
| |
|
| | ## π οΈ Technical Details |
| |
|
| | - **Document Processing**: PDF text extraction with pdfplumber |
| | - **AI Extraction**: Hugging Face Transformers for Named Entity Recognition |
| | - **Semantic Search**: Sentence Transformers for vector embeddings |
| | - **Vector Storage**: FAISS for efficient similarity search |
| | - **Interface**: Streamlit for interactive web application |
| |
|
| | ## π Supported Formats |
| |
|
| | - PDF documents |
| | - Text files (.txt) |
| | - Image files (basic support) |
| |
|
| | ## π Privacy & Security |
| |
|
| | - All processing happens locally in your browser session |
| | - No data is permanently stored on servers |
| | - Files are processed temporarily and then deleted |
| | - Your invoice data remains private and secure |
| |
|
| | ## π‘ Tips for Best Results |
| |
|
| | - Use clear, well-formatted invoice documents |
| | - PDF files work best for extraction |
| | - Include invoices with standard fields (amount, date, supplier, etc.) |
| | - Try different natural language queries in the chat interface |
| |
|
| | ## ποΈ System Architecture |
| |
|
| | ``` |
| | π Document Upload β π€ AI Processing β πΎ Data Storage β π Search & Analytics |
| | ``` |
| |
|
| | ## π Quick Start |
| |
|
| | 1. Click on the "Upload & Process" tab |
| | 2. Upload a PDF invoice or text file |
| | 3. Watch the AI extract structured data |
| | 4. Use the chat interface to ask questions about your data |
| | 5. Explore the analytics dashboard for insights |
| |
|
| | ## π§ Advanced Features |
| |
|
| | - **Semantic Search**: Find invoices using natural language queries |
| | - **Smart Analytics**: Automatic trend analysis and supplier insights |
| | - **Data Export**: Download processed data in multiple formats |
| | - **Real-time Processing**: Instant feedback on document processing |
| | - **Interactive Chat**: AI-powered question answering about your invoices |
| |
|
| | ## π€ Feedback & Support |
| |
|
| | If you encounter any issues or have suggestions for improvement, please feel free to reach out through the Hugging Face community discussions. |
| |
|
| | ## π Example Queries |
| |
|
| | Try these questions in the AI chat: |
| | - "Show me a summary of all invoices" |
| | - "What's the total amount spent?" |
| | - "Who are my top suppliers?" |
| | - "Find invoices over $1000" |
| | - "Show me recent technology purchases" |
| |
|
| | Built with β€οΈ for the AI community using Hugging Face Transformers and Streamlit. |