Writing text with diacritic (“nikud”, vocalization marks) using PIL (Python Imaging Library)

Question

Writing simple text on an image using PIL is easy.

draw = ImageDraw.Draw(img)
draw.text((10, y), text2, font=font, fill=forecolor )

However

Answer 1

funny, after 5 years, and with great help fron @Nasser Al-Wohaibi, I realized how to do it:

Reversing the text with a BIDI algorithm was needed.

# -*- coding: utf-8 -*-
from bidi.algorithm import get_display
import PIL.Image, PIL.ImageFont, PIL.ImageDraw
img= PIL.Image.new("L", (400, 200))
draw = PIL.ImageDraw.Draw(img)
font = PIL.ImageFont.truetype( r"c:\windows\fonts\arial.ttf", 30)
t1 = u'סֶפֶר ספר!'
draw.text( (10,10), 'before BiDi :' + t1, fill=255, font=font)

t2 = get_display(t1)        # <--- here's the magic <---
draw.text( (10,50), 'after BiDi: ' + t2, fill=220, font=font)

img.save( 'bidi-test.png')

@Nasser's answer has extra value that's probably relevant only to arabic texts (the letters in arabic change shape and connected-ness based on their neiboring letters, in hebrew all letters are separate), so only the bidi part was relevant for this question.

in the sample result, the 2nd line is the correct form, and correct vocalization marks positioning.

thank you @tzot for help + code snippets

a-propos:

samples of different font behavior with Hebrew "nikud". Not all fonts behave the same: