writing text to an image in opencv

I'm trying to write text I've converted from an image to an ascii art into a different image, but for some reason I keep getting strange shapes and not the letters (in english) the were converted.

Here is the result of my function so far:

I suspect it has something to do with the font.

Here is the relevant code:

def saveTxtAsPicute(file_path, width, height, currentframe):
    """
    converts txt file to picture then saves it
    :param file: txt file to convert
    :return: the filtered ascii image
    """

    # Open text file and read content
    with open(file_path, 'r') as file:
       text = file.read()

    # Define image size and font size
    font_size = 14

    # Create new image
    img = np.zeros((int(height), int(width), 3), dtype=np.uint8)
    img.fill(255)

    # Set font and get text size
    font = cv2.FONT_HERSHEY_SIMPLEX
    text_width, text_height = cv2.getTextSize(text, font, font_size, 2)[0]

    # Calculate number of columns and rows
    cols = int(width / font_size)
    rows = int(text_height / font_size)

    # Draw text on image
    x = y = 0
    for i in range(len(text)):
        cv2.putText(img, text[i], (x, y+font_size), font, font_size/2, (0, 0, 0), 1, cv2.LINE_AA)
        x += font_size
        if x >= width:
            x = 0
            y += font_size

    # Save image
    cv2.imwrite('./txtFilesPic/text_image' + str(currentframe) + '.jpg', img)

you are in the right direction however there are few things you should keep in mind
1- The default font used by cv2.FONT_HERSHEY_SIMPLEX is not monospaced. Which means, every character does not take equal width, some characters like 'i' can take less space whereas others like 'k' can take more. Thus if you increase your starting x position by the same value at each iteration, it would look something like this

To avoid this type of spacing, you can use monospace fonts like roberto mono etc
2- The font size does not translate exactly into pixel values. For example, a font size of 12 will not necessarily be 12 pixels in the image. Thus if u just increase the scale with which u are increasing the x and y in each iteration, your image should look a lot cleaner

def saveTxtAsPicute(file_path, width, height ):
    """
    converts txt file to picture then saves it
    :param file: txt file to convert
    :return: the filtered ascii image
    """

    # Open text file and read content
    with open(file_path, 'r') as file:
       text = file.read()

    # Define image size and font size
    font_size = 2

    # Create new image
    img = np.zeros((int(height), int(width), 3), dtype=np.uint8)
    img.fill(255)

    # Set font and get text size
    font = cv2.FONT_HERSHEY_SIMPLEX
    text_width, text_height = cv2.getTextSize(text, font, font_size, 2)[0]

    # Calculate number of columns and rows
    #cols = int(width / font_size)
    #rows = int(text_height / font_size)

    text =text.strip()
    print (text)
    # Draw text on image
    x = y = 0
    y = 80
    for i in range(len(text)):
        cv2.putText(img, text[i], (x,y+6*font_size), font, font_size, (0, 0, 0))
        x += font_size*19
        if x >= width:
            x = 0
            y += 25*font_size

    # Save image
    cv2.imwrite('./text_image' + '.jpg', img)

saveTxtAsPicute('./foo.txt',100,500)

This code with "hit it up" as the text in the file would give you the following output