.env.example

# DocBridgeAI Environment Variables
# Copy this file to .env and replace placeholders with real values

# OpenAI API — used for LLM-based shorthand expansion and metadata inference
OPENAI_API_KEY=your-openai-api-key-here

# Model to use for text cleaning/expansion (gpt-4o-mini recommended for cost)
OPENAI_MODEL=gpt-4o-mini

# Optional: Tesseract OCR binary path (required for scanned PDF support)
# macOS default: /opt/homebrew/bin/tesseract
# Linux default: /usr/bin/tesseract
TESSERACT_CMD=tesseract

# Max files allowed per upload session
MAX_FILES=5

# Max file size in MB per upload
MAX_FILE_SIZE_MB=20

# Output directory for future/custom runners (relative to project root).
# The current Streamlit app uses output/ via PipelineConfig in app.py.
OUTPUT_DIR=output