filekor 0.1.1

PDF metadata extraction CLI using PyExifTool

fileKor

Local metadata engine that extracts, summarizes, classifies, and tags files using taxonomy-based labeling.

Quick Start

# Install uv
winget install astral-sh.uv


git clone filekor 

cd filekor

# Setup
uv venv

# Windows
.venv\Scripts\activate
# MacOS/Linux
source venv/bin/activate

uv pip install -e .

# CLI Usage
filekor extract documento.pdf
filekor sidecar documento.pdf
filekor sidecar ./documentos --dir           # Process directory (generates merged.kor by default)
filekor sidecar ./documentos --dir --no-merge # Generate individual .kor files
filekor sidecar ./documentos --dir --db     # Use database to regenerate when available
filekor labels documento.pdf
filekor sync documento.kor          # Sync existing .kor to database
filekor merge ./directorio         # Merge multiple .kor files
filekor delete --path ./doc.pdf    # Delete by path
filekor delete --sha <hash>        # Delete by SHA256

Library Usage

filekor can be used as a Python library for database-backed queries and search:

from filekor.db import get_db, sync_file, search_files

# Get database instance (lazy singleton)
db = get_db()

# Sync a .kor file to the database
sync_file("./documento.kor")

# Search files by labels and content with scoring
results = search_files(
    labels=["finance", "2026"],
    query="budget report"
)
# Returns ranked results with relevance scores

Enable auto-sync in config.yaml to automatically update the database when using CLI commands.

Features

Core Features

• Metadata Extraction - Extract metadata from PDF, TXT, MD files using PyExifTool
• Text Extraction - Extract and summarize text content from supported files
• Sidecar Generation - Generate YAML sidecar files (.kor) with full metadata
• Taxonomy Labels - LLM-based classification with custom taxonomy support

LLM Providers

• Google Gemini - Native Gemini API support
• OpenAI - GPT-4o, GPT-4o-mini support
• Groq - Fast inference with Llama models
• OpenRouter - Access to 200+ free models
• Mock Provider - Testing without API calls

Database & Search

• SQLite Database - Index all .kor metadata
• Full-Text Search - FTS5 for fast filename/metadata search
• Multi-Label Search - OR logic for filtering by multiple labels
• Relevance Scoring - Configurable weights for search ranking
• Auto-Sync - Automatic database updates from CLI

Interfaces

• CLI - Complete command-line interface
• Library API - Python API for integration
• 100 Tests - Comprehensive test coverage

Documentation

Guide	Description
Installation	Setup and installation
Usage	CLI commands reference
Library	Python Library API with code examples
Taxonomy	Labels and taxonomy configuration
LLM	LLM provider setup (Gemini, OpenAI, Groq, OpenRouter)
Development	Development and testing guide

Project Structure

fileKor/
├── src/filekor/       # Source code
│   ├── cli.py        # CLI interface
│   ├── db.py         # Database module (SQLite)
│   ├── models.py     # Database models
│   ├── sidecar.py    # Sidecar model
│   ├── labels.py     # Labels module
│   └── llm.py       # LLM providers
├── docs/             # Documentation
├── test-files/        # Test files
├── tests/           # Test suite
└── README.md

License

Apache License 2.0 - See LICENSE file for details.