narkhedesam / pyim2speak

Read image and speek the text content using python

PyIm2Speak

Read image and speek the text content using PIL, langdetect, tesseract, gtts and playsound with Python

Before you start

You must have to install tesseract-ocr on your local pc

Parameters

• -i --image - path to input image to be OCR
• -p --processing - For type of pre-processing to be done(thresh, blur)
• -f --format - Format for the output(speak)

Coding

Read the Image

image = cv2.imread(args['image'])

Convert image to grayscale image

gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

Process the Image for threshold and blur according to user's choice For Threshold

gray_image = cv2.threshold(gray_image, 0, 255,
                cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]

For Blurr

gray_image = cv2.medianBlur(gray_image, 3)

Store the image into temp folder with name as process_id of progrma

filename = "temp" + os.path.sep + "{}.png".format(os.getpid())
cv2.imwrite(filename, gray_image)

set path for tesseract

pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'

get text from image

text = pytesseract.image_to_string(Image.open(filename))

remove temp file

os.remove(filename)

Store the processed image into output folder

text_filepath = "output" + os.path.sep + "{}.txt".format(os.getpid())
with open(file=text_filepath, mode='w+') as file:
    file.write(text)    

Detect the language accourding to the text

lang = detect(text)
print("Language: %s" % lang)

Convert Text to Audio using gtts

audio = gTTS(text=text, lang=lang, slow=False)

Store the audio file to output folder

audio_filepath = "output" + os.path.sep + "{}.mp3".format(os.getpid())
audio.save(audio_filepath)

write Grayimage to output folder

cv2.imwrite(filename, gray_image)

Play the converted audio

playsound(audio_filepath)

Author

Sameer Narkhede
Profile : https://github.com/narkhedesam
Website : https://narkhedesam.github.io/

Donation

If this project help you reduce time to develop, you can give me a cup of coffee ☺️