diff --git a/anticaptcha_examples/088636.png b/anticaptcha_examples/088636.png
new file mode 100644
index 0000000..870367f
Binary files /dev/null and b/anticaptcha_examples/088636.png differ
diff --git a/anticaptcha_examples/anticaptcah_image_to_text_example.py b/anticaptcha_examples/anticaptcah_image_to_text_example.py
index 05dc8d2..39b548d 100644
--- a/anticaptcha_examples/anticaptcah_image_to_text_example.py
+++ b/anticaptcha_examples/anticaptcah_image_to_text_example.py
@@ -1,6 +1,7 @@
 import asyncio
 
 from python3_anticaptcha import ImageToTextTask
+from python3_anticaptcha import errors
 
 ANTICAPTCHA_KEY = ""
 """
@@ -25,7 +26,15 @@ result = ImageToTextTask.ImageToTextTask(anticaptcha_key=ANTICAPTCHA_KEY) \
     .captcha_handler(captcha_link='http://85.255.8.26/static/image/common_image_example/800070.png')
 print(result)
 
+"""
+Пример работы с передачей файла капчи уже закодированного в base64
+"""
+# закодировано: 976979
+base_64_file = open('base64image.txt', 'rb')
 
+user_answer_base64 = ImageToTextTask.ImageToTextTask(anticaptcha_key=ANTICAPTCHA_KEY).captcha_handler(captcha_base64=base_64_file)
+
+print(user_answer_base64)
 # Пример асинхронного запуска решения капчи
 # AsyncIO example. Work with constant-saved file.
 async def run():
@@ -50,14 +59,35 @@ Example for working with downloaded file.
 # Синхронный
 # папка в которой находится изображение, один из вариантов написания
 # The path to the file must be transferred in this format to the method
-captcha_file = r'D:\Python\933588.png'
+captcha_file = '088636.png'
 # так же есть возможность передать так:
 # or in this format:
 # captcha_file = 'D:\/Python\/933588.png'
+# captcha_file = r'D:\Python\933588.png'
 
 result = ImageToTextTask.ImageToTextTask(anticaptcha_key=ANTICAPTCHA_KEY).captcha_handler(captcha_file=captcha_file)
 print(result)
+"""
+Пример для работы с локальными файлами
+"""
+# папка в которой находится изображение, один из вариантов написания
 
+# так же есть возможность передать так:
+# captcha_file = r'D:\Python\933588.png'
+# captcha_file = 'D:\/Python\/933588.png'
+try:
+    user_answer_local = ImageToTextTask.ImageToTextTask(anticaptcha_key=ANTICAPTCHA_KEY).captcha_handler(captcha_file=captcha_file)
+    if user_answer_local['errorId'] == 0:
+        # решение капчи
+        print(user_answer_local['captchaSolve'])
+        print(user_answer_local['taskId'])
+    elif user_answer_local['errorId'] == 1:
+        # Тело ошибки, если есть
+        print(user_answer_local['errorBody'])
+
+# отлов ошибки при проблемах чтения файла-изображения
+except errors.ReadError as err:
+    print(err)
 
 # Асинхронный пример
 # AsyncIO example.
diff --git a/anticaptcha_examples/base64image.txt b/anticaptcha_examples/base64image.txt
new file mode 100644
index 0000000..08b2fc4
--- /dev/null
+++ b/anticaptcha_examples/base64image.txt
@@ -0,0 +1 @@
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