Simple text encoding type classifier
Project description
whatenc
Simple text encoding type classifier.
whatenc uses statistical and linguistic features to detect how a given string is encoded.
Usage
pipx install whatenc
whatenc aGVsbG8gd29ybGQ=
whatenc samples.txt
Examples
[+] input: aGVsbG8gd29ybGQ=
[=] top guess = base64
[~] base64 = 0.455
[~] plain = 0.312
[~] url = 0.126
[+] input: hello
[=] top guess = plain
[~] plain = 0.552
[~] url = 0.246
[~] rot13 = 0.192
[+] input: uryyb jbeyq
[=] top guess = rot13
[~] rot13 = 0.555
[~] plain = 0.440
[~] url = 0.004
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
whatenc-0.2.0.tar.gz
(112.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
whatenc-0.2.0-py3-none-any.whl
(115.1 kB
view details)
File details
Details for the file whatenc-0.2.0.tar.gz.
File metadata
- Download URL: whatenc-0.2.0.tar.gz
- Upload date:
- Size: 112.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cdae9f225dddc2a302deaa9dcbc519f44a4608d0a3ec4dc393d7e0e9e8d1f499
|
|
| MD5 |
701e116743624eaad8826b0fcf141b87
|
|
| BLAKE2b-256 |
801c17e8e107f2c37aac90487825c3b4e6a07e504fb0e531cffdf6208cf6215f
|
File details
Details for the file whatenc-0.2.0-py3-none-any.whl.
File metadata
- Download URL: whatenc-0.2.0-py3-none-any.whl
- Upload date:
- Size: 115.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c1ef813168aeed4bd7b8c017d792d2645594afaaf31a52de1ca807069fbbcbcd
|
|
| MD5 |
6125f7409fae78e7f248c7bf2d1285cf
|
|
| BLAKE2b-256 |
1e32f6a19e236cef51baf5bc1b5d0691365ef78500d49abd9f6fe54eec01c19f
|
