README.md

@@ -1,14 +1,11 @@
 # csv2ankicards
 
-A simple toolkit that offers:
+A simple tool to convert CSV files into Anki deck packages (.apkg files).
-- Conversion of CSV files into Anki deck packages (.apkg files).
-- Conversion of image files in a directory to a text file using Optical Character Recognition (OCR).
 
 ## Features
 
 - Converts a CSV file with questions and answers into an Anki deck package.
-- Converts image files from a specified directory to a single text file using OCR.
+- There are only two columns in the CSV file, separated by the first comma encountered.
-- For CSV: there are only two columns in the CSV file, separated by the first comma encountered.
 - CSV files should have a "Front" column for questions and a "Back" column for answers.
 
 ## Installation
@@ -32,8 +29,6 @@ A simple toolkit that offers:
 
 ## Usage
 
-### CSV to Anki Conversion
-
 To convert a CSV file into an Anki deck package:
 
 ```bash
@@ -42,33 +37,19 @@ python csv2ankicards.py /path/to/your/csvfile.csv output.apkg
 
 This will produce an `output.apkg` file which can then be imported into Anki.
 
-#### CSV Format
+### CSV Format
 
 The CSV file should follow this format:
 
 ```
 Front,Back
-Your question here,Your answer here
+Your question here,Your answer here, and here
 Another question,list of: answer1, answer2, answer3
 ...
 ```
 
 **Note:** If your answers contain commas, they will be considered as part of the answer. Only the first comma is used to separate the question from the answer.
 
-### Image to Text Conversion
-
-To convert images from a directory to a single text file using OCR:
-
-```bash
-python images2text.py /path/to/your/image_directory/
-```
-
-This will produce a `final.txt` file which contains the text extracted from the images.
-
-#### Supported Image Formats
-
-Currently supported formats for the images are: `.png`, `.jpg`, and `.jpeg`.
-
 ## License
 
 [MIT License](LICENSE)

images2text.py

@@ -1,85 +0,0 @@
-import os
-import sys
-from subprocess import run, CalledProcessError
-from concurrent.futures import ThreadPoolExecutor
-
-converted_dir = "converted"
-
-def is_image_file(path):
-    lower_path = path.lower()
-    return lower_path.endswith('.png') or lower_path.endswith('.jpg') or lower_path.endswith('.jpeg')
-
-def convert_image(image_path):
-    print(f"Converting {image_path}...")
-    converted_path = os.path.join(converted_dir, os.path.basename(image_path))
-    cmd = [
-        "convert",
-        image_path,
-        "-colorspace", "Gray",
-        "-resize", "300%",
-        "-threshold", "55%",
-        "-type", "Grayscale",
-        converted_path
-    ]
-    
-    try:
-        run(cmd, check=True)
-        print(f"Converted image output to {converted_path}!")
-        return converted_path
-    except CalledProcessError:
-        print(f"Error converting {image_path} with ImageMagick. Using original for Tesseract.")
-        return image_path
-
-def ocr_image(image_path):
-    print(f"OCR'ing {image_path}...")
-    text_filename = os.path.basename(image_path).replace(".jpg", ".txt")
-    text_path = os.path.join(converted_dir, text_filename)
-    cmd = ["tesseract", image_path, text_path.replace(".txt", "")]
-    try:
-        run(cmd, check=True)
-        print(f"OCRed to {text_path}!")
-        return text_path
-    except CalledProcessError:
-        print(f"Error processing {image_path} with Tesseract. Skipping.")
-        return None
-
-def process_image(image_path):
-    converted_path = convert_image(image_path)
-    print(f"OCR'ing image {image_path} (now at {converted_path})...")
-    text_path = ocr_image(converted_path)
-    if text_path and os.path.exists(text_path):
-        with open(text_path, 'r') as text_file:
-            text_content = text_file.read()
-            print(f"Added text from {text_path} to final output.")
-            return text_content
-    else:
-        print(f"Cannot locate {text_path}! Cannot add text to final output!")
-        return None
-
-def main(directory_path):
-    final_text = []
-
-    if not os.path.exists(converted_dir):
-        os.mkdir(converted_dir)
-
-    image_paths = []
-    for root, dirs, files in os.walk(directory_path):
-        for file in files:
-            image_path = os.path.join(root, file)
-            if is_image_file(image_path):
-                image_paths.append(image_path)
-
-    # Use a ThreadPoolExecutor to process images in parallel
-    with ThreadPoolExecutor() as executor:
-        final_text = list(executor.map(process_image, image_paths))
-    
-    # Filter out any None values and write the text to final.txt
-    final_text = [text for text in final_text if text is not None]
-    with open("final.txt", 'w') as f:
-        f.write("\n".join(final_text))
-
-if __name__ == "__main__":
-    if len(sys.argv) != 2:
-        print("Usage: python images2text.py <directory_path>")
-        sys.exit(1)
-    main(sys.argv[1])

requirements.txt

@@ -1,2 +1 @@
 genanki==0.8.0
-Pillow