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Python base64.b85encode() Function: Usage and Examples

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2 views Published Oct 17, 2026 Updated Oct 18, 2026 Admin

base64.

How It Works


base64.b85encode() produces a compact ASCII representation of binary bytes using a Base85 alphabet. This is different from the Adobe Ascii85 variant and should be paired with b85decode().

Step-by-Step Example


import base64
sample_bytes = b'image thumbnail content'
encoded_bytes = base64.b85encode(sample_bytes)
print(base64.b85decode(encoded_bytes) == sample_bytes)
print(len(encoded_bytes))

Understanding the Example


  • The expression "b'image thumbnail content'" supplies the value stored as 'sample_bytes'. This value is then used or checked by the later statements.
  • The expression 'base64.b85encode(sample_bytes)' supplies the value stored as 'encoded_bytes'. This value is then used or checked by the later statements.

A successful run of this example prints the following output:

True
29

Where This Fits in a Real Program


This transformation changes how bytes are represented for transport. It does not hide the original information or prove authenticity, so avoid using it as a substitute for encryption or a digital signature. When handling text, encode the characters to bytes first and decode restored bytes using the matching character encoding.

Practice: Try It Yourself


Compare Base85 and Base64 encoded lengths for identical bytes.

For this exercise, predict the result before running the changed code. Then explain the difference between the original and modified cases using the actual values, not just whether the program completed.

Further Reading


Read the official Python documentation for complete parameters, return types and exceptions.

Common Beginner Mistakes


  • Mixing b85encode() output with the a85decode() API or treating encoded bytes as encrypted.
  • Do not mistake successful decoding or parsing for trust in the contents.

Key Takeaways


  • base64.
  • base64.b85encode() produces a compact ASCII representation of binary bytes using a Base85 alphabet.
  • Apply the demonstrated operation to the practice input and verify its result before depending on it in a larger program.
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