For ordinary text, use text.encode("utf-8"). Python str values are Unicode text; bytes values are immutable sequences of integers from 0 through 255. Turning text into bytes is encoding, and turning those bytes back into text is decoding.
text = "café"
data = text.encode("utf-8")
print(data) # b'caf\xc3\xa9'UTF-8 is usually the best interoperability choice, but the receiving file format, protocol, API, or operating-system interface determines the correct encoding. The seven techniques below are not interchangeable: some encode text, while others parse hexadecimal notation or add a Base64 representation.
Quick comparison
| Method | Output | Best use | Main caveat |
|---|---|---|---|
text.encode("utf-8") |
bytes |
Normal text encoding | The encoding must match the consumer |
bytes(text, "utf-8") |
bytes |
Constructor-style code | A string requires an encoding |
bytearray(text, "utf-8") |
bytearray |
Mutable binary data | It is not immutable bytes |
codecs.encode(text, "utf-8") |
Usually bytes |
Generic or codec-oriented code | Output depends on the selected codec |
os.fsencode(path) |
bytes |
Filesystem paths | It is not a general text encoding choice |
bytes.fromhex(hex_text) |
bytes |
Hexadecimal notation | Input must be valid hexadecimal |
base64.b64encode(...) |
Base64 bytes |
Printable transport representation | Adds a layer and increases size |
1. Use str.encode()
str.encode() is the idiomatic choice for nearly all ordinary text-to-bytes conversions, including socket writes, HTTP bodies, hashing, cryptographic input, files, databases, and binary protocols.
text = "Hello, Python!"
data = text.encode("utf-8")
print(data) # b'Hello, Python!'
japanese = "こんにちは"
print(japanese.encode("utf-8"))
# b'\xe3\x81\x93\xe3\x82\x93\xe3\x81\xab\xe3\x81\xa1\xe3\x81\xaf'The documented signature is str.encode(encoding="utf-8", errors="strict"). Make the encoding explicit in application code rather than relying on an environment default. UTF-8 uses a variable number of bytes per character, so one character is not necessarily one byte. See the Python str.encode() documentation.
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Choose an error policy deliberately
"naïve".encode("ascii", errors="strict") # raises UnicodeEncodeError
"naïve".encode("ascii", errors="replace") # b'na?ve'
"naïve".encode("ascii", errors="ignore") # b'nave'strict protects data by raising an exception. replace substitutes characters and ignore discards them; neither preserves the original text, so do not use them merely to hide an encoding problem.
2. Use the bytes() constructor
data = bytes("Hello", "utf-8")
print(data) # b'Hello'For a string source, the constructor has the form bytes(source, encoding, errors="strict"). Omitting the encoding fails because Python cannot infer the intended character mapping:
bytes("hello")
# TypeError: string argument without an encodingUse this form when surrounding code is organized around constructors or may accept several byte-producing source types. When the source is known to be a string, text.encode(...) usually communicates intent more clearly. The result is immutable bytes; details are in the bytes() documentation.
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3. Use bytearray() for mutable bytes
mutable_data = bytearray("ABC", "ascii")
mutable_data[0] = ord("Z")
print(mutable_data) # bytearray(b'ZBC')
immutable_data = bytes(bytearray("Hello", "utf-8"))bytearray uses the same text-and-encoding idea but returns a mutable buffer. Choose it when bytes will be edited in place or built incrementally. If an API specifically requires immutable bytes, convert the result with bytes(...). See the bytearray documentation.
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import codecs
text = "café"
data = codecs.encode(text, "utf-8")
print(data) # b'caf\xc3\xa9'
safe = codecs.encode(text, "ascii", errors="replace")codecs.encode() is useful when a codec name is supplied dynamically, when code already uses the codecs module, or when a generic codec interface is needed. For straightforward text, it normally produces the same result as text.encode(...). The codec registry also contains transforms that are not text-to-bytes operations, so input and output types depend on the selected codec. See codecs.encode().
5. Use os.fsencode() for filesystem paths
import os
path = "résumé.txt"
path_bytes = os.fsencode(path)os.fsencode() converts a path string using Python’s filesystem encoding and filesystem error handler. Use it for low-level operating-system APIs that require a bytes path. Do not substitute it for an explicitly required protocol encoding such as UTF-8:
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payload = text.encode("utf-8") # application data
native_path = os.fsencode(path) # filesystem interfaceThis platform-aware behavior is especially relevant to filenames that cannot be represented through ordinary Unicode alone. See os.fsencode().
6. Use bytes.fromhex() for hexadecimal notation
data = bytes.fromhex("48656c6c6f")
print(data) # b'Hello'
print(bytes.fromhex("48 65 6c 6c 6f")) # b'Hello'This parses pairs of hexadecimal digits into byte values; it does not encode arbitrary text. Therefore bytes.fromhex("Hello") raises ValueError. Use this method for packet dumps, hexadecimal configuration values, keys, identifiers, and test fixtures. To encode the six-character text "48656c6c6f" itself, use "48656c6c6f".encode("utf-8"). See bytes.fromhex().
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7. Use Base64 when a printable transport representation is required
import base64
text = "Hello, Python!"
raw = text.encode("utf-8")
encoded = base64.b64encode(raw)
print(encoded) # b'SGVsbG8sIFB5dGhvbiE='
restored = base64.b64decode(encoded).decode("utf-8")
assert restored == text
url_safe = base64.urlsafe_b64encode(raw)Base64 is a second representation layer: the text is first encoded to bytes, then those bytes are represented as ASCII Base64 bytes. It is useful in formats such as selected JSON fields, tokens, email content, and transports that permit only a restricted printable alphabet. It is not raw UTF-8 and adds size overhead. URL-safe Base64 substitutes - and _ for + and /. See base64.b64encode().
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Encoding and decoding a value safely
original = "naïve café"
encoded = original.encode("utf-8")
decoded = encoded.decode("utf-8")
assert decoded == originalThe decoder must use the encoding that created the bytes. A mismatch can raise UnicodeDecodeError or silently produce wrong text when a permissive encoding accepts every byte. The constructor form str(encoded, "utf-8") is equivalent to decoding a bytes or bytearray object with that encoding.
Common mistakes and failure modes
Confusing str() with decoding
str(b"hello") # "b'hello'" (a representation)
b"hello".decode("ascii") # "hello"str(bytes_value) without an encoding does not recover the original text; it creates the informal representation of the bytes.
Using the wrong encoding
"café".encode("ascii") # UnicodeEncodeError
"café".encode("latin-1") # b'cafxe9'
"café".encode("utf-8") # b'cafxc3xa9'UTF-8 and Latin-1 produce different bytes for the same text. Latin-1 can encode only code points from U+0000 through U+00FF; characters outside that range fail. Use the encoding mandated by the destination, not one chosen simply because it avoids an exception. More background is in Python’s Unicode and encoding documentation.
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Confusing character count with byte count
text = "é"
print(len(text)) # 1
print(len(text.encode("utf-8"))) # 2Use encoded length—not character count—for protocol framing, buffer allocation, byte-oriented database limits, file offsets, and cryptographic input sizes.
Using lossy handlers accidentally
"café".encode("ascii", errors="ignore") # b'caf'The missing character is data loss. Keep errors="strict" unless substitution or omission is an explicit requirement.
Quick Recap
Which method should you choose?
- Ordinary application text:
text.encode("utf-8"), or the encoding required by the destination. - Legacy text format: use its specified codec, such as
cp1252, and handle failures explicitly. - Mutable binary buffer:
bytearray(text, encoding). - Filesystem path for a low-level API:
os.fsencode(path). - Hexadecimal notation:
bytes.fromhex(hex_text). - Base64 transport representation:
base64.b64encode(text.encode(encoding)).
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