Transform your digital chaos into organized, searchable files
Stop losing time hunting through hundreds of files named IMG_1234.jpg and Screenshot 2024-08-24.png. Content Tamer AI reads your documents and gives them intelligent, descriptive names so you can find what you need instantly.
Before Content Tamer AI:
scan001.pdf β What's this?
IMG_1234.png β No clue
document.pdf β Could be anything
Screenshot_20240824.png β Screenshot of what?
After Content Tamer AI:
Electricity_Bill_January_2024.pdf β Instantly clear
Employee_Handbook_Remote_Work_Policy.png β Easy to find
Lease_Agreement_Downtown_Apartment.pdf β Perfectly organized
Quarterly_Financial_Report_Q3_2024.png β Makes sense
git clone https://github.com/quanyeomans/content-tamer-ai.git
cd content-tamer-ai
python easy-setup.pyOption A: Use Cloud AI (most accurate, requires internet)
# For OpenAI (most popular)
export OPENAI_API_KEY="your-openai-key"
# For Claude (high quality)
export ANTHROPIC_API_KEY="your-claude-key"Option B: Use Local AI (completely private, no internet needed)
python src/main.py --setup-local-llm# Put your messy files in data/input/
# Then run:
python src/main.pyThat's it! Your organized files appear in data/processed/ with intelligent names.
- Bills & Receipts β
Electricity_Bill_January_2024.pdf - Medical Records β
Blood_Test_Results_Annual_Checkup.pdf - Screenshots β
Zoom_Meeting_Notes_Project_Planning.png - Warranties β
TV_Warranty_Samsung_65_Inch_QLED.pdf
- Contracts β
Service_Agreement_Marketing_Agency.pdf - Invoices β
Invoice_12345_Web_Development_Services.pdf - Reports β
Monthly_Sales_Report_December_2024.pdf - Presentations β
Product_Launch_Presentation_Q1_2025.pdf
- Academic Papers β
Machine_Learning_Research_Paper_Stanford.pdf - Notes β
Meeting_Notes_Budget_Planning_Session.pdf - Articles β
Climate_Change_Impact_Report_UN_2024.pdf
- Local Processing: All file analysis happens on your computer
- No File Uploads: Your documents never leave your machine
- Secure AI Calls: Only text content (not files) sent to AI providers
- Open Source: Full transparency - inspect the code yourself
- Offline Option: Complete privacy with Local AI mode
- β Text extracted from your documents (for smart naming)
- β Never your actual files
- β Never personal information (automatically filtered)
- β Never file paths or locations
- Reads PDFs, images, screenshots, and scanned documents
- Understands content, not just filenames
- Handles multiple languages and formats
- Works with poor quality scans
- Groups related documents automatically
- Creates logical folder structures
- Learns from your preferences over time
- Handles any volume of files
- Works immediately with smart defaults
- Beautiful progress bars and feedback
- Clear error messages with solutions
- Resume processing if interrupted
- Cost: ~$0.01 per document
- Quality: Excellent
- Speed: Fast
- Best for: General use, mixed document types
- Cost: ~$0.015 per document
- Quality: Outstanding
- Speed: Fast
- Best for: Complex documents, contracts, reports
- Cost: $0 (runs on your computer)
- Quality: Very good
- Speed: Depends on your hardware
- Best for: Privacy-focused users, high volumes
git clone https://github.com/quanyeomans/content-tamer-ai.git
cd content-tamer-ai
python easy-setup.py # Handles everything automaticallygit clone https://github.com/quanyeomans/content-tamer-ai.git
cd content-tamer-ai
python scripts/install.py # Detailed setup with optionsgit clone https://github.com/quanyeomans/content-tamer-ai.git
cd content-tamer-ai
pip install -r requirements.txt
python -m spacy download en_core_web_sm"No API key found"
# Set your API key (replace with your actual key)
export OPENAI_API_KEY="sk-your-actual-key-here""OCR not working"
# Install Tesseract for reading scanned documents
# Windows: Download from https://github.com/UB-Mannheim/tesseract/wiki
# Mac: brew install tesseract
# Linux: sudo apt-get install tesseract-ocr"Local AI too slow"
# Check system requirements and available models
python src/main.py --check-local-requirements
python src/main.py --list-local-models- Use high-quality scans (300+ DPI) for best OCR results
- Process similar documents together for better organization
- Check results regularly and provide feedback to improve accuracy
- Use descriptive folder names when organizing large collections
- β Saves Hours: Stop searching through endless files
- β Works Everywhere: Windows, Mac, Linux support
- β Completely Secure: Your files never leave your computer
- β Privacy First: Local AI option needs no internet
- β Always Improving: Regular updates with new features
- β Open Source: Free forever, no hidden costs
Ready to tame your digital chaos? Get started in 3 minutes! β¬οΈ