psd-tools

psd-tools is a Python package for working with Adobe Photoshop PSD files as described in specification.

PyPI Version Tests Document Status

Features

Supported

  • Read and write of the low-level PSD/PSB file structure
  • Raw layer image export in NumPy and PIL format

Limited support

  • Composition of basic pixel-based layers
  • Composition of fill layer effects
  • Composition of adjustment layers (BrightnessContrast, Levels, Curves, Exposure, Invert, Posterize, Threshold)
  • Vector masks
  • Editing of some layer attributes such as layer name
  • Basic editing of pixel layers and groups, such as adding or removing a layer
  • Blending modes except for dissolve
  • Drawing of bezier curves

Not supported

  • Editing of various layers such as type layers, shape layers, smart objects, etc.
  • Editing of texts in type layers
  • Composition of many layer effects
  • Font rendering

Installation

Use pip to install the package:

pip install psd-tools

For advanced layer compositing features, install with the composite extra:

pip install 'psd-tools[composite]'

The composite extra provides optional dependencies (aggdraw, scipy, scikit-image) for advanced rendering features:

  • Vector shape and stroke rendering
  • Gradient and pattern fills
  • Layer effects rendering

Basic compositing works without these dependencies using cached previews or simple pixel-based operations. Note that the composite extra may not be available on all platforms (notably Python 3.14 on Windows).

Getting started

from psd_tools import PSDImage

psd = PSDImage.open('example.psd')
psd.composite().save('example.png')

for layer in psd:
    print(layer)
    layer_image = layer.composite()
    layer_image.save('%s.png' % layer.name)

Check out the documentation for features and details.

Contributing

See contributing page.

Note

PSD specification is far from complete. If you cannot find a desired information in the documentation, you should inspect the low-level data structure.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for kmike from gravatar.com kmike Avatar for kyamagu from gravatar.com kyamagu

Credits

Author: Mikhail Korobov

License expression

MIT
View SPDX License List

Requires

Python >=3.10

Provides Extra

composite

Tags

photoshop psd

Classifiers

Report project as malware

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This release

1.18.0

1.17.4

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1.17.0

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1.15.0.post1

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1.9.34

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