Create an image of text, which is centered both ways. Useful for creating a label.

text2img.py

from PIL import Image, ImageDraw, ImageFont


def create_image(text, size, fp, format=None):
    img = Image.new('L', size, 'white')
    draw = ImageDraw.Draw(img)

    # Find largest font size which fits within image size
    fontsize = 20
    margin = 10
    while True:
        font = ImageFont.truetype('times.ttf', fontsize)
        txtsize = draw.multiline_textsize(text, font=font)
        if txtsize[0] >= size[0] - (margin * 2) or txtsize[1] >= size[1] - (margin * 2):
            # reduce font size and try again
            fontsize -= 2
        else:
            break
    print(f'Using font size {fontsize} which results in text size of {txtsize}.')

    # Center text horizontally and vertically in image.
    # Set anchor point to the middle (half width and half height of image size)
    # and anchor alignment to middle/middle (mm) of text.
    draw.multiline_text((size[0]/2, size[1]/2), text, fill='black', font=font, anchor='mm', align='center')

    font8 = ImageFont.truetype('times.ttf', 8)
    # Add a line of text to top left corner
    draw.text((margin, margin), 'Top Left', fill='black', font=font8, anchor='la', align='left')
    # And bottom left corner
    draw.text((margin, size[1] - margin), 'Bottom Left', fill='black', font=font8, anchor='ld', align='left')
    # And top right corner
    draw.text((size[0] - margin, margin), 'Top Right', fill='black', font=font8, anchor='ra', align='right')
    # And bottom right corner
    draw.text((size[0] - margin, size[1] - margin), 'Bottom Right', fill='black', font=font8, anchor='rd', align='right')

    # Outline with rounded rect
    draw.rounded_rectangle([(0, 0), (size[0] - 1, size[1] - 1)], radius=10, outline='black', width=1)

    img.save(fp, format)

if __name__ == '__main__':
    create_image('Some text\nLine two\nThe third line which is longer', (200, 100), 'example.png')

As of Revision 2, the debug output is:

Using font size 14 which results in text size of (166, 47).

As of Revision 4, the generated image is: