File format determination library


Keywords
extension, file-extensions, file-format, file-format-detection, file-type-detection, file-types, fileformat, filetype, magic-number, magic-numbers, mimetype
License
MIT
Install
pip install fleep==1.0.1

Documentation

fleep

File format determination library for Python

pypi version python version license

Getting Started

fleep is a library that determines file format by file signature (also known as "magic number").

Installation

You can install fleep using pip. Simply run in CLI:

pip install fleep

Requirements

  • Python >= 3.1

In Use

fleep has main function get() that determines file format. It takes byte sequence (128 bytes are enough) as an argument and returns an instance of class Info with the following arguments:

  • type -> list of suitable file types
  • extension -> list of suitable file extensions
  • mime -> list of suitable file MIME types

You may presume that first element in list will be the most suitable.

Also an instance of class Info has the following methods:

  • type_matches() -> checks if file type matches with given type as an argument
  • extension_matches() -> checks if file extension matches with given extension as an argument
  • mime_matches() -> checks if file MIME type matches with given MIME type as an argument

There are 3 more functions:

  • supported_types() -> returns a list of supported file types
  • supported_extensions() -> returns a list of supported file extensions
  • supported_mimes() -> returns a list of supported file MIME types

Examples

You can find examples in examples folder. There is a simple example:

import fleep

with open("png_image", "rb") as file:
    info = fleep.get(file.read(128))

print(info.type)  # prints ['raster-image']
print(info.extension)  # prints ['png']
print(info.mime)  # prints ['image/png']

print(info.type_matches("raster-image"))  # prints True
print(info.extension_matches("gif"))  # prints False
print(info.mime_matches("image/png"))  # prints True

Tests

You can find tests in tests folder. There are results of speed test:

Workstation

  • Python 3.6 x64 bit
  • Windows 10 Home x64 bit
  • Intel Pentium G4620 3.70GHz
  • Kingston DDR4-2400 8192MB
  • Kingston SSD 120GB 550MB/s

Results

Note: 0.0012345 -> time in seconds

Iteration Minimum Maximum Average
1 0.0 0.0005312 0.0000851
2 0.0 0.0005360 0.0000858
3 0.0 0.0005236 0.0000837
4 0.0 0.0005035 0.0000833
5 0.0 0.0005295 0.0000835

Supported Formats

There is a list of supported formats (in alphabetical order):

Raster Image:

  • BMP
  • GIF
  • ICO
  • JP2
  • JPEG
  • PNG
  • PSD
  • TIFF
  • WEBP

Raw Image:

  • ARW
  • CR2
  • CRW
  • DNG
  • ERF
  • NEF
  • NRW
  • ORF
  • PEF
  • RAF
  • RAW
  • RW2
  • SRW
  • X3F

Vector Image:

  • AI
  • EPS

3D Image:

  • C4D
  • FBX
  • MA
  • MS3D
  • MTL
  • OBJ
  • PLY
  • WRL
  • X3D
  • XSI

Audio:

  • AAC
  • AC3
  • AIFF
  • AMR
  • AU
  • FLAC
  • M4A
  • MIDI
  • MKA
  • MP3
  • OGA
  • RA
  • VOC
  • WAV
  • WMA

Video:

  • 3G2
  • 3GP
  • ASF
  • AVI
  • FLV
  • M4V
  • MKV
  • MOV
  • MP4
  • MPG
  • OGV
  • SWF
  • VOB
  • WEBM
  • WMV

Document:

  • DOC
  • DOCX
  • EPUB
  • KEY
  • NUMBERS
  • ODP
  • ODS
  • ODT
  • PAGES
  • PDF
  • PPS
  • PPT
  • PPTX
  • RTF
  • XLS
  • XLSX
  • XML

Archive:

  • 7Z
  • DMG
  • GZ
  • ISO
  • RAR
  • TAR.Z
  • ZIP

Executable:

  • COM
  • EXE
  • JAR

Font:

  • OTF
  • TTF
  • WOFF
  • WOFF2

System:

  • CAB
  • CAT
  • DLL
  • DRV
  • REG
  • SDB
  • SYS

Database:

  • SQLITE

Changelog

You can find changelog in CHANGELOG.md file.

License

This project is licensed under the MIT License.

Authors

Mykyta Paliienko - GitHub profile