ocr-screenshot-gallery/OCR-scripts/ocr_screenshots.py

#!/usr/bin/env python3

import glob
import os
import sqlite3
import subprocess
from datetime import datetime

# Configuration
SCREENSHOTS_DIR = os.path.expanduser("~/Screenshots")
DATABASE_PATH = os.path.expanduser("~/screenshot_ocr.db")


def create_database():
    """Create SQLite database and table if they don't exist."""
    conn = sqlite3.connect(DATABASE_PATH)
    cursor = conn.cursor()

    # Create table for OCR results
    cursor.execute("""
    CREATE TABLE IF NOT EXISTS ocr_results (
        id INTEGER PRIMARY KEY AUTOINCREMENT,
        filename TEXT UNIQUE,
        full_path TEXT,
        ocr_text TEXT,
        file_size INTEGER,
        created_date TEXT,
        ocr_date TEXT
    )
    """)

    conn.commit()
    conn.close()
    print(f"Database initialized at {DATABASE_PATH}")


def get_processed_files():
    """Get a set of filenames that have already been processed."""
    conn = sqlite3.connect(DATABASE_PATH)
    cursor = conn.cursor()

    cursor.execute("SELECT filename FROM ocr_results")
    processed_files = {row[0] for row in cursor.fetchall()}

    conn.close()
    return processed_files


def perform_ocr(image_path):
    """Perform OCR on an image file using tesseract."""
    try:
        # Create a temporary output file
        temp_output = f"/tmp/{os.path.basename(image_path)}.txt"
        temp_base = temp_output.replace(".txt", "")

        # Run tesseract
        subprocess.run(
            ["tesseract", image_path, temp_base],
            check=True,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
        )

        # Read OCR text from the output file
        with open(temp_output, "r", encoding="utf-8") as f:
            ocr_text = f.read().strip()

        # Clean up temporary file
        os.remove(temp_output)

        return ocr_text
    except subprocess.CalledProcessError as e:
        print(f"Error running tesseract on {image_path}: {str(e)}")
        return ""
    except Exception as e:
        print(f"Error processing {image_path}: {str(e)}")
        return ""


def add_to_database(filename, full_path, ocr_text, file_size, created_date):
    """Add OCR result to the database."""
    conn = sqlite3.connect(DATABASE_PATH)
    cursor = conn.cursor()

    try:
        cursor.execute(
            """
        INSERT INTO ocr_results
        (filename, full_path, ocr_text, file_size, created_date, ocr_date)
        VALUES (?, ?, ?, ?, ?, ?)
        """,
            (
                filename,
                full_path,
                ocr_text,
                file_size,
                created_date,
                datetime.now().isoformat(),
            ),
        )

        conn.commit()
        print(f"Added {filename} to database")
    except sqlite3.IntegrityError:
        print(f"File {filename} already exists in database")
    except Exception as e:
        print(f"Error adding {filename} to database: {str(e)}")
    finally:
        conn.close()


def main():
    """Main function to process screenshot images."""
    print("Starting OCR process for screenshots...")

    # Create database if it doesn't exist
    create_database()

    # Get list of already processed files
    processed_files = get_processed_files()
    print(f"Found {len(processed_files)} already processed files")

    # Get list of PNG and JPG files
    image_files = glob.glob(os.path.join(SCREENSHOTS_DIR, "*.png"))
    image_files.extend(glob.glob(os.path.join(SCREENSHOTS_DIR, "*.jpg")))
    image_files.extend(glob.glob(os.path.join(SCREENSHOTS_DIR, "*.jpeg")))
    print(f"Found {len(image_files)} image files")

    # Process each image file
    processed_count = 0
    skipped_count = 0
    error_count = 0

    for image_path in image_files:
        filename = os.path.basename(image_path)

        # Skip if already processed
        if filename in processed_files:
            print(f"Skipping {filename} (already processed)")
            skipped_count += 1
            continue

        print(f"Processing {filename}...")

        # Get file information
        file_stats = os.stat(image_path)
        file_size = file_stats.st_size
        created_date = datetime.fromtimestamp(file_stats.st_mtime).isoformat()

        # Perform OCR
        ocr_text = perform_ocr(image_path)

        if ocr_text:
            # Add to database
            add_to_database(filename, image_path, ocr_text, file_size, created_date)
            processed_count += 1
        else:
            print(f"No OCR text extracted from {filename}")
            error_count += 1

    print("\nOCR process completed:")
    print(f"- Processed: {processed_count}")
    print(f"- Skipped (already in database): {skipped_count}")
    print(f"- Errors: {error_count}")
    print(f"- Total files in database: {len(processed_files) + processed_count}")


if __name__ == "__main__":
    main()