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78 lines
2.2 KiB
Markdown
78 lines
2.2 KiB
Markdown
# Product Context
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## Project Purpose
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paperless-gpt is designed to enhance document management by integrating AI capabilities with paperless-ngx. Its primary purpose is to automate and improve the accuracy of document processing tasks that traditionally require manual intervention.
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## Problems Solved
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1. Manual Document Organization
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- Eliminates tedious manual tagging and titling
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- Reduces time spent on document categorization
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- Minimizes human error in classification
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2. OCR Quality Issues
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- Improves text extraction from poor quality scans
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- Enhances accuracy through LLM-based OCR
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- Provides context-aware text interpretation
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3. Document Processing Automation
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- Automates correspondent identification
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- Streamlines document categorization
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- Enables bulk processing capabilities
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## Core Functionality
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1. AI-Powered Document Processing
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- Title generation using LLMs
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- Intelligent tag suggestions
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- Automated correspondent detection
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- Enhanced OCR capabilities
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2. Integration Features
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- Seamless paperless-ngx integration
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- Support for multiple LLM providers
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- Docker-based deployment
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- Customizable prompt templates
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3. User Experience
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- Web-based interface
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- Manual review capabilities
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- Automatic processing options
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- Flexible configuration options
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## Success Criteria
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1. Accuracy Metrics
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- High-quality OCR results
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- Accurate document classification
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- Relevant tag suggestions
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- Correct correspondent identification
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2. Performance Goals
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- Fast processing times
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- Reliable system operation
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- Scalable document handling
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- Efficient resource usage
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3. User Satisfaction
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- Intuitive interface
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- Clear feedback mechanisms
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- Minimal manual intervention
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- Consistent results
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## Future Vision
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1. Enhanced Capabilities
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- Support for more AI providers
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- Statistics and analytics features
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- Advanced document analysis
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- Improved processing algorithms
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- Extended automation options
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2. Community Growth
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- Active contributor base
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- Regular feature additions
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- Strong documentation
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- Responsive maintenance
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3. Technical Evolution
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- Improved architecture
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- Enhanced performance
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- Extended integrations
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- Robust testing
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