UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position

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Borislav Hadzhiev

Last updated: May 2, 2022

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UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position #

The Python "UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position: invalid start byte" occurs when we specify an incorrect encoding when decoding a bytes object. To solve the error, specify the correct encoding, e.g. cp1252.

unicodedecodeerror utf 8 codec cant decode byte 0x92

Here is an example of how the error occurs.

main.py
my_bytes = 'abc ’ def'.encode('cp1252') # ⛔️ UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 4: invalid start byte my_str = my_bytes.decode('utf-8')

The 0x92 byte can be decoded using the cp1252 encoding.

Encoding is the process of converting a string to a bytes object and decoding is the process of converting a bytes object to a string.

When decoding a bytes object, we have to use the same encoding that was used to encode the string to a bytes object.

In the example, we can set the encoding to cp1252.

main.py
my_bytes = 'abc ’ def'.encode('cp1252') my_str = my_bytes.decode('cp1252') print(my_str) # 👉️ "abc ’ def"

Windows-1252 or cp1252 is a single-byte character encoding of the Latin alphabet.

If that doesn't work, try using the latin-1 encoding and see if the data is legible.

If you got the error when reading from a file using pandas, try setting the encoding to cp1252 or latin-1.

main.py
import pandas as pd # 👇️ set encoding to cp1252 df = pd.read_csv('employees.csv', sep='|', encoding='cp1252') print(df)

You can try doing the same if using the native open() function.

main.py
import csv with open('employees.csv', newline='', encoding='cp1252') as csvfile: csv_reader = list(csv.reader(csvfile, delimiter='|')) print(csv_reader)

If the error persists, you could set the errors keyword argument to ignore to ignore the characters that cannot be decoded.

Note that ignoring characters that cannot be decoded can lead to data loss.

main.py
import csv # 👇️ set errors to ignore with open('employees.csv', newline='', encoding='utf-8', errors='ignore') as csvfile: csv_reader = list(csv.reader(csvfile, delimiter='|')) print(csv_reader)

Opening the file with an incorrect encoding with errors set to ignore won't raise a UnicodeDecodeError.

Make sure you didn't open a file in rb (binary) mode if you have to read from it.

If you don't need to interact with the contents of the file, you can open it in binary mode without decoding it.
main.py
with open('example.txt', 'rb') as f: data = f.read() print(data)

We opened the file in binary mode (using the rb mode), so the data variable contains a bytes object.

You shouldn't specify encoding when opening a file in binary mode.

You can use this approach if you need to upload the file to a remote server and don't need to decode it.

Encoding is the process of converting a string to a bytes object and decoding is the process of converting a bytes object to a string.

When decoding a bytes object, we have to use the same encoding that was used to encode the string to a bytes object.

Here is an example that shows how using a different encoding to encode a string to bytes than the one used to decode the bytes object causes the error.

main.py
my_text = 'a ’ b' my_binary_data = my_text.encode('cp1252') # ⛔️ UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 2: invalid start byte my_text_again = my_binary_data.decode('utf-8')

We can solve the error by using the cp1252 encoding to decode the bytes object.

main.py
my_text = 'a ’ b' my_binary_data = my_text.encode('cp1252') my_text_again = my_binary_data.decode('cp1252') print(my_text_again) # 👉️ "a ’ b"
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