10fastfingers Bot

from PIL import ImageGrab
import pyautogui
import pytesseract
from PIL import Image

def click():

    pyautogui.click(x=700,y=450)

def screen_shot():

    # Define the coordinates of the area you want to capture
    x1, y1 = 325, 250
    x2, y2 = 1475, 425

    # Capture the screenshot of the specified area
    screen = ImageGrab.grab(bbox=(x1, y1, x2, y2))

    # Save the screenshot to a file
    screen.save('screenshot.png')

def img_to_text():

    # Load the image
    img = Image.open('screenshot.png')

    # Convert the image to grayscale
    img = img.convert('L')

    # Apply OCR and extract text from the image
    text = pytesseract.image_to_string(img)

    # Print the extracted text
    data = text.split(" ")

    return data

def write(data):

    for word in data:
        pyautogui.write(word)
        pyautogui.press("space")

def debugger(data):

    for index,word in enumerate(data):
        if "\n" in word:
            data.pop(index)
            text = word.replace("\n"," ")
            liste = text.split("  ")
            if len(liste) == 1:
                data.insert(index,liste[0])
            else:
                for i in range(len(liste)-1,-1,-1):
                    data.insert(index,liste[i])
                
    return data

if __name__ == '__main__':
    
    click()

    while True:
        screen_shot()
        data = img_to_text()
        data = debugger(data)
        
        if len(data) < 15:
            break
        write(data)

from PIL import ImageGrab

import pyautogui

import pytesseract

from PIL import Image

def click():

    pyautogui.click(x=700,y=450)

import pyautogui
from time import sleep

while True:
    sleep(1)
    print(pyautogui.position())

def screen_shot():

    # Define the coordinates of the area you want to capture

    x1, y1 = 325, 250

    x2, y2 = 1475, 425

    # Capture the screenshot of the specified area

    screen = ImageGrab.grab(bbox=(x1, y1, x2, y2))

    # Save the screenshot to a file

    screen.save('screenshot.png')

def img_to_text():

    # Load the image

    img = Image.open('screenshot.png')

    # Convert the image to grayscale

    img = img.convert('L')

    # Apply OCR and extract text from the image

    text = pytesseract.image_to_string(img)

    # Print the extracted text

    data = text.split(" ")

    return data

def debugger(data):

    for index,word in enumerate(data):

        if "\n" in word:

            data.pop(index)

            text = word.replace("\n"," ")

            liste = text.split("  ")

            if len(liste) == 1:

                data.insert(index,liste[0])

            else:

                for i in range(len(liste)-1,-1,-1):

                    data.insert(index,liste[i])

    return data

def write(data):

    for word in data:

        pyautogui.write(word)

        pyautogui.press("space")

if __name__ == '__main__':

    click()

    while True:

        screen_shot()

        data = img_to_text()

        data = debugger(data)

        if len(data) < 15:

            break

        write(data)

/*
Diğer manipulation kodların bulamasamda - snippetslerden bunu buldum,
ilgili sayfada run verdiyin zaman yalnızca space klavişin basarak
kelime-kelime tamamlaya biliyorsun.
*/
let x = document.querySelector("#row1 span.highlight"),
    y = document.getElementById("inputfield")
    i = -1;


function autoKeyboardSpeed(){
  x = document.querySelector("#row1 span.highlight");
  y.value = x.innerText;
  testing();
}


function testing(){
    i++;
    if(i >= x.length){
        alert("Game over!");
    }else{
    setTimeout(function(){
     autoKeyboardSpeed();
}, 10);
    }
}

testing();