I've provided a Colab solution since that will probably be useful to the most people.

Install tesseract in our Colab environment.

!sudo apt install tesseract-ocr
!pip install PyTesseract

Import libraries and mount our Drive

from google.colab import drive
from google.colab.patches import cv2_imshow
drive.mount('/content/drive/')

Set our pytesseract path, read in source image from our Drive, show our source image, then finally convert the image to text.

import cv2
import pytesseract
import numpy as np

pytesseract.pytesseract.terreract_cmd = {
    r'/usr/bin/tesseract'
}

src = cv2.imread('/content/drive/MyDrive/Colab Notebooks/images/macbeth.png')
cv2_imshow(src)
output_txt = pytesseract.image_to_string(src)
print(type(output_txt))
print(output_txt)

You have to have tesseract installed and accesible in your path.

According to source, pytesseract is merely a wrapper for subprocess.Popen with tesseract binary as a binary to run. It does not perform any kind of OCR itself.

Relevant part of sources:

def run_tesseract(input_filename, output_filename_base, lang=None, boxes=False, config=None):
    '''
    runs the command:
        `tesseract_cmd` `input_filename` `output_filename_base`

    returns the exit status of tesseract, as well as tesseract's stderr output
    '''
    command = [tesseract_cmd, input_filename, output_filename_base]

    if lang is not None:
        command += ['-l', lang]

    if boxes:
        command += ['batch.nochop', 'makebox']

    if config:
        command += shlex.split(config)

    proc = subprocess.Popen(command,
            stderr=subprocess.PIPE)
    return (proc.wait(), proc.stderr.read())

Quoting another part of source:

# CHANGE THIS IF TESSERACT IS NOT IN YOUR PATH, OR IS NAMED DIFFERENTLY
tesseract_cmd = 'tesseract'

So quick way of changing tesseract path would be:

import pytesseract
pytesseract.tesseract_cmd = "/absolute/path/to/tesseract"  # this should be done only once 
pytesseract.image_to_string(img)