#!/usr/bin/env python3
"""
Batch conversion utility for MarkItDown.
Converts all supported files in a directory to Markdown format.
"""
import os
import sys
from pathlib import Path
from markitdown import MarkItDown
from typing import Optional, List
import argparse
# Supported file extensions
SUPPORTED_EXTENSIONS = {
'.pdf', '.docx', '.pptx', '.xlsx', '.xls',
'.jpg', '.jpeg', '.png', '.gif', '.bmp', '.tiff',
'.wav', '.mp3', '.flac', '.ogg', '.aiff',
'.html', '.htm', '.epub',
'.csv', '.json', '.xml',
'.zip'
}
def setup_markitdown(
use_llm: bool = False,
llm_model: str = "gpt-4o",
use_azure_di: bool = False,
azure_endpoint: Optional[str] = None,
azure_key: Optional[str] = None
) -> MarkItDown:
"""
Setup MarkItDown instance with optional advanced features.
Args:
use_llm: Enable LLM-powered image descriptions
llm_model: LLM model to use (default: gpt-4o)
use_azure_di: Enable Azure Document Intelligence
azure_endpoint: Azure Document Intelligence endpoint
azure_key: Azure Document Intelligence API key
Returns:
Configured MarkItDown instance
"""
kwargs = {}
if use_llm:
try:
from openai import OpenAI
client = OpenAI()
kwargs['llm_client'] = client
kwargs['llm_model'] = llm_model
print(f"✓ LLM integration enabled ({llm_model})")
except ImportError:
print("✗ Warning: OpenAI not installed, LLM features disabled")
print(" Install with: pip install openai")
if use_azure_di:
if azure_endpoint and azure_key:
kwargs['docintel_endpoint'] = azure_endpoint
kwargs['docintel_key'] = azure_key
print("✓ Azure Document Intelligence enabled")
else:
print("✗ Warning: Azure credentials not provided, Azure DI disabled")
return MarkItDown(**kwargs)
def convert_file(
md: MarkItDown,
input_path: Path,
output_dir: Path,
verbose: bool = False
) -> bool:
"""
Convert a single file to Markdown.
Args:
md: MarkItDown instance
input_path: Path to input file
output_dir: Directory for output files
verbose: Print detailed progress
Returns:
True if successful, False otherwise
"""
try:
if verbose:
print(f" Processing: {input_path.name}")
# Convert file
result = md.convert(str(input_path))
# Create output filename
output_filename = input_path.stem + '.md'
output_path = output_dir / output_filename
# Write output
with open(output_path, 'w', encoding='utf-8') as f:
f.write(result.text_content)
if verbose:
print(f" ✓ Converted: {input_path.name} → {output_filename}")
return True
except Exception as e:
print(f" ✗ Error converting {input_path.name}: {e}")
return False
def find_files(input_dir: Path, recursive: bool = False) -> List[Path]:
"""
Find all supported files in directory.
Args:
input_dir: Directory to search
recursive: Search subdirectories
Returns:
List of file paths
"""
files = []
if recursive:
for ext in SUPPORTED_EXTENSIONS:
files.extend(input_dir.rglob(f"*{ext}"))
else:
for ext in SUPPORTED_EXTENSIONS:
files.extend(input_dir.glob(f"*{ext}"))
return sorted(files)
def batch_convert(
input_dir: str,
output_dir: str,
recursive: bool = False,
use_llm: bool = False,
llm_model: str = "gpt-4o",
use_azure_di: bool = False,
azure_endpoint: Optional[str] = None,
azure_key: Optional[str] = None,
verbose: bool = False
) -> None:
"""
Batch convert all supported files in a directory.
Args:
input_dir: Input directory containing files
output_dir: Output directory for Markdown files
recursive: Search subdirectories
use_llm: Enable LLM-powered descriptions
llm_model: LLM model to use
use_azure_di: Enable Azure Document Intelligence
azure_endpoint: Azure DI endpoint
azure_key: Azure DI API key
verbose: Print detailed progress
"""
input_path = Path(input_dir)
output_path = Path(output_dir)
# Validate input directory
if not input_path.exists():
print(f"✗ Error: Input directory '{input_dir}' does not exist")
sys.exit(1)
if not input_path.is_dir():
print(f"✗ Error: '{input_dir}' is not a directory")
sys.exit(1)
# Create output directory
output_path.mkdir(parents=True, exist_ok=True)
# Setup MarkItDown
print("Setting up MarkItDown...")
md = setup_markitdown(
use_llm=use_llm,
llm_model=llm_model,
use_azure_di=use_azure_di,
azure_endpoint=azure_endpoint,
azure_key=azure_key
)
# Find files
print(f"\nScanning directory: {input_dir}")
if recursive:
print(" (including subdirectories)")
files = find_files(input_path, recursive)
if not files:
print("✗ No supported files found")
print(f" Supported extensions: {', '.join(sorted(SUPPORTED_EXTENSIONS))}")
sys.exit(0)
print(f"✓ Found {len(files)} file(s) to convert\n")
# Convert files
successful = 0
failed = 0
for file_path in files:
if convert_file(md, file_path, output_path, verbose):
successful += 1
else:
failed += 1
# Summary
print(f"\n{'='*60}")
print(f"Conversion complete!")
print(f" Successful: {successful}")
print(f" Failed: {failed}")
print(f" Output: {output_dir}")
print(f"{'='*60}")
def main():
"""Main entry point."""
parser = argparse.ArgumentParser(
description="Batch convert files to Markdown using MarkItDown",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
# Basic usage
python batch_convert.py documents/ output/
# Recursive conversion
python batch_convert.py documents/ output/ --recursive
# With LLM-powered image descriptions
python batch_convert.py documents/ output/ --llm
# With Azure Document Intelligence
python batch_convert.py documents/ output/ --azure \\
--azure-endpoint https://example.cognitiveservices.azure.com/ \\
--azure-key YOUR-KEY
# All features enabled
python batch_convert.py documents/ output/ --llm --azure \\
--azure-endpoint $AZURE_ENDPOINT --azure-key $AZURE_KEY
Supported file types:
Documents: PDF, DOCX, PPTX, XLSX, XLS
Images: JPG, PNG, GIF, BMP, TIFF
Audio: WAV, MP3, FLAC, OGG, AIFF
Web: HTML, EPUB
Data: CSV, JSON, XML
Archives: ZIP
"""
)
parser.add_argument(
'input_dir',
help='Input directory containing files to convert'
)
parser.add_argument(
'output_dir',
help='Output directory for Markdown files'
)
parser.add_argument(
'-r', '--recursive',
action='store_true',
help='Recursively search subdirectories'
)
parser.add_argument(
'--llm',
action='store_true',
help='Enable LLM-powered image descriptions (requires OpenAI API key)'
)
parser.add_argument(
'--llm-model',
default='gpt-4o',
help='LLM model to use (default: gpt-4o)'
)
parser.add_argument(
'--azure',
action='store_true',
help='Enable Azure Document Intelligence for PDFs'
)
parser.add_argument(
'--azure-endpoint',
help='Azure Document Intelligence endpoint URL'
)
parser.add_argument(
'--azure-key',
help='Azure Document Intelligence API key'
)
parser.add_argument(
'-v', '--verbose',
action='store_true',
help='Print detailed progress'
)
args = parser.parse_args()
# Environment variable fallbacks for Azure
azure_endpoint = args.azure_endpoint or os.getenv('AZURE_DOCUMENT_INTELLIGENCE_ENDPOINT')
azure_key = args.azure_key or os.getenv('AZURE_DOCUMENT_INTELLIGENCE_KEY')
batch_convert(
input_dir=args.input_dir,
output_dir=args.output_dir,
recursive=args.recursive,
use_llm=args.llm,
llm_model=args.llm_model,
use_azure_di=args.azure,
azure_endpoint=azure_endpoint,
azure_key=azure_key,
verbose=args.verbose
)
if __name__ == '__main__':
main()