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TesseractNotFoundError: C:\\Program Files\\Tesseract-OCR\\tesseract (2).exe is not installed or it's not in your PATH. See README file for more info

I wrote the following code for extracting text form image in google colab:
from PIL import Image
from pytesseract import pytesseract
path_to_tesseract = r"C:\\Program Files\\Tesseract-OCR\\tesseract (2).exe"
image_path = r"/content/images/result_Page_1.jpg"
img = Image.open(image_path)
pytesseract.tesseract_cmd = path_to_tesseract
text = pytesseract.image_to_string(img)
print(text[:-1])
I am still getting tesseract not found error. I am using google colab on windows 10 laptop.

blank output after solving the captcha using pytesseract?

I am trying to solve a captcha :
and run a script :
from PIL import Image
from pytesseract import pytesseract
path_to_tesseract = r"/usr/local/Cellar/tesseract/5.0.1/bin/tesseract"
image_path2 = r"captcha2.jpg"
img = Image.open(image_path2)
pytesseract.tesseract_cmd = path_to_tesseract
text = pytesseract.image_to_string(img)
print(text[:-1])
captchaText=text[:-1]
but output is blank and when I use the same script with the following captcha:
it works great.

NameError: name 'img_new' is not defined, how to fix?

Im trying to get pytesseract to work at identifying an image as single characters and not words.
Using code: This works, but only for detecting words not single characters in the image.
#importing modules
import pytesseract
from PIL import Image
# If you don't have tesseract executable in your PATH, include the following:
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract'
#converting image to text
print(pytesseract.image_to_string(Image.open('C:\Program Files\Tesseract-OCR\image2.png')))
Attempting to view single characters Code:
#importing modules
import pytesseract
from PIL import Image
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract'
#converting image to text
text = pytesseract.image_to_string(img_new, lang='eng', config='--psm 10')
print(pytesseract.image_to_string(Image.open('C:\Program Files\Tesseract-OCR\image2.png')))
I get error
text = pytesseract.image_to_string(img_new, lang='eng', config='--psm 10')
NameError: name 'img_new' is not defined

"Unsupported image object", using Python

I am building a character identifier from an image using Tesseract and Python.
This is my code:
import cv2
import numpy as np
import pytesseract
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
img = cv2.imread("bigsleep.jpg")
text = pytesseract.image_to_string(img)
cv2.imshow("Img", img)
cv2.waitKey(0)
print(text)
I am getting the following error while executing this program
TypeError: Unsupported image object
Can anyone solve this issue

image to text conversion using Tesseract

I am trying to load all images in a folder and extract text from images. I keep getting error message for the second for loop. For example,
AttributeError: 'numpy.ndarray' object has no attribute 'read'
It seems I cannot access list Img. Any idea?
# import OpenCV, Numpy, Python image library, Tesseract OCR
import os
import cv2
import numpy
from PIL import Image
import pytesseract
import glob
#set tesseract path
pytesseract.pytesseract.tesseract_cmd = 'C:/Program Files (x86)/Tesseract-OCR/tesseract.exe'
#read all image with .jpg format in a specifying folder
img = []
for i in glob.glob("C:\\Users\\daizhang\\Desktop\\Deloitte Development\\Python\\Reports\\Image\\*.jpg"):
n= cv2.imread(i,0) #convert image to grayscale
print(i)
img.append(n)
for j in img:
im = Image.open(j)
text = pytesseract.image_to_string (j, lang='eng')
with open("C:\\Users\\daizhang\\Desktop\\Deloitte Development\\Python\Reports\\Image\\test.txt", "w") as f:
f.write(text.encode('utf8'))

I have Mac OSX but you can adjust this code to file Window's path directory.
import os
from os import path
from glob import glob
from pytesseract import image_to_string
from PIL import Image, ImageEnhance, ImageFilter
def enhance_img(filename):
# Enhance image and save as under new name
im = im.filter(ImageFilter.MedianFilter())
enhancer = ImageEnhance.Contrast(im)
im = enhancer.enhance(2)
im = im.convert('1')
im.save('newfilename')
def convert_img(filename):
image = Image.open(filename)
# Convert image to text
file = open ('parsing.txt', 'a')
file.write(image_to_string(image))
file.close
def find_ext(dir, ext):
return glob(path.join(dir, "*.{}".format(ext)))
# use the following for change directory
# os.chdir(path)
filename = find_ext("","png")
for file in filename:
# convert image to text
convert_img(file)
If you want to enhance the image then include the following block and adjust the code above to loop through the new filenames.
def enhance_img(filename):
# Enhance image and save as under new name
im = im.filter(ImageFilter.MedianFilter())
enhancer = ImageEnhance.Contrast(im)
im = enhancer.enhance(2)
im = im.convert('1')
im.save('newfilename')
For file in filename:
# to enhance image if needed
newfilename = filename[-3] + '_1.png'
enhance_img(file)