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Convert PSD file to SVG file

Project description

PSD to SVG converter based on psd-tools2 and svgwrite.

PyPI Version Build Status

Install

Use pip to install:

pip install psd2svg

To use AWS S3 storage backend:

pip install psd2svg[s3]

or:

pip install boto3

To use HDFS storage backend:

pip install psd2svg[hdfs,kerberos]

Usage

The package comes with a command-line tool:

psd2svg input.psd output.svg

When the output path is a directory, or omitted, the tool infers the output name from the input:

psd2svg input.psd output/  # => output/input.svg
psd2svg input.psd          # => input.svg

When --export-resource flag is specified, all png resources are exported to the path specified by --resource-prefix:

psd2svg input.psd output.svg --export-resource
# => output.svg, xxx1.png, ...

psd2svg input.psd output/ --export-resource
# => output/input.svg, output/xxx1.png, ...

psd2svg input.psd output/ --export-resource --resource-prefix=resources/
# => output/input.svg, output/resources/xxx1.png, ...

psd2svg input.psd svg/ --export-resource --resource-prefix=../png/
# => svg/input.svg, png/xxx1.png, ...

To render text in vector stroke:

psd2svg input.psd output/ --text-mode text

The tool can specify URL instead of file path (S3 requires boto3):

psd2svg http://example.com/input.psd
psd2svg s3://bucketname/path/to/input.psd s3://bucketname/path/to/output/

API

The package contains high-level conversion function psd2svg:

from psd2svg import psd2svg

psd2svg('path/to/input.psd', 'path/to/output/')

Test

Invoke tox:

tox

Publish

Execute the following command:

make publish

Notes

  • SVG 1.1 does not cover all the blending modes in Photoshop (e.g., linear-dodge)

  • Filter effects are approximation. Some effects are not implemented.

  • Most of adjustments layers are not implemented.

  • Smart object filters are not implemented.

  • Browser support: SVG rendering quality greatly differs depending on the browser. Chrome tends to be the best quality.

  • APIs of this tool is NOT thread-safe.

  • To use HDFS storage backend, Python 2.7 environment is needed and should be Kerberos-enabled and only read access is available.

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