SVGConverter

正體中文

SVGConverter converts PNG, JPEG, WebP, BMP, and TIFF images to SVG through a small Python API, command-line interface, and desktop GUI.

At a glance

Choose a conversion mode

Raster image
    │
    ├── embed ─────> SVG <image> (pixels preserved by default)
    └── vectorize -> SVG <path>  (optional VTracer backend)

Representative inputs

Conversion modes

• embed (default) places the original raster bytes in an SVG <image> element. It preserves the source pixels, but it is not vectorization and can be larger than the original image because of Base64 encoding.
• vectorize traces raster regions into SVG paths using the optional VTracer backend. It is most useful for logos, icons, illustrations, and high-contrast line art. Photographs can produce large, stylized output rather than a faithful smaller image.

Installation

SVGConverter requires Python 3.10 or newer:

python -m pip install --upgrade svgconverter

Install vectorization support when needed:

python -m pip install --upgrade "svgconverter[vectorize]"

To run the current development version instead:

git clone https://github.com/KageRyo/SVGConverter.git
cd SVGConverter
python -m pip install .

Command line

Convert one image, retaining its dimensions in the generated SVG:

svgconverter image.png
svgconverter photo.jpg --output output.svg
svgconverter logo.png --mode vectorize --vectorize-color-mode binary

Convert all supported images immediately inside a directory:

svgconverter ./images --output-dir ./svg-output

Include nested directories while retaining their relative paths under the output directory:

svgconverter ./images --output-dir ./svg-output --recursive

Convert several explicit files in one batch. Shells that support glob expansion can also expand patterns such as ./images/*.png before invoking the command:

svgconverter image.png photo.jpg --output-dir ./svg-output

For batch conversion, existing output SVGs are skipped unless --overwrite is supplied; the final summary reports converted, skipped, and failed items. Supported inputs are PNG, JPG, JPEG, WebP, BMP, TIF, and TIFF (including upper-case extensions). Run svgconverter --help for all options. Vectorize mode requires the optional vectorize extra.

Embed optimization

Embed mode preserves the source raster bytes by default. Opt in to resizing or re-encoding only when a smaller raster payload is worth the quality trade-off:

svgconverter photo.jpg --max-width 1600 --jpeg-quality 82
svgconverter illustration.png --png-compress-level 9 --optimize-png

--max-width and --max-height only downscale and preserve aspect ratio. --jpeg-quality applies only to JPEG inputs; --png-compress-level and --optimize-png apply only to PNG inputs, so the same batch options are safe for mixed formats. A resized JPEG without an explicit quality uses 95. The CLI reports input, embedded-raster, and SVG sizes after each conversion or batch. These controls apply to embed mode only.

Python API

from svgconverter import (
    ConversionProgress,
    EmbedOptions,
    SVGConverter,
    convert_file,
    convert_file_with_metrics,
    convert_paths,
)

convert_file("image.png", "image.svg")
convert_file("logo.png", "logo.svg", mode="vectorize")

converter = SVGConverter(overwrite=True)
result = converter.convert_directory("./images", "./svg-output", recursive=True)
metric = convert_file_with_metrics(
    "photo.jpg",
    "photo.svg",
    embed_options=EmbedOptions(max_width=1600, jpeg_quality=82),
)


def report(progress: ConversionProgress) -> None:
    print(progress.completed, progress.total, progress.input_path)


batch = convert_paths(
    ["logo.png", "photo.jpg"], "./svg-output", progress_callback=report
)
print(result.success_count, result.skipped_count, result.failure_count)
print(metric.input_bytes, metric.embedded_raster_bytes, metric.svg_bytes)

convert_file() returns the output pathlib.Path. Directory conversion returns a BatchResult containing successful output paths and per-file failures, so a bad image does not abort the entire batch. convert_paths() accepts a mix of files and directories; existing batch outputs are recorded as skips unless overwrite=True is selected. EmbedOptions is opt-in; without it, embed mode uses the original raster bytes. convert_file_with_metrics() and BatchResult.metrics report source, embedded-raster, and SVG byte sizes. Use progress_callback for each processed item; return True from should_cancel to stop cleanly before the next item. The result then has cancelled=True.

GUI

Install the package and run:

svgconverter-gui

The legacy development command python main.py starts the same GUI. Select one or more files, or a folder, to convert with visible non-blocking progress and a converted/skipped/failed summary. You can cancel between files; any per-file errors are shown after the batch without closing the application. The GUI offers Traditional Chinese, English, and Japanese, plus the following conversion settings:

• Select embed or vectorize mode.
• Choose an output directory, overwrite existing SVG files, and optionally include nested folders.
• Configure embed resizing, JPEG quality, PNG compression, and PNG optimization.
• Configure common vectorize options such as color mode, hierarchy, curve mode, speckle filtering, color precision, layer difference, and path precision.

Vectorize mode requires the optional vectorize extra, just like the CLI and Python API.

For a supported release, Windows users can download the standalone SVGConverter-vX.Y.Z-windows-x86_64.exe asset from the GitHub Release page; it does not require a local Python installation.

Contributing and license

See CONTRIBUTING.md for local checks and commit conventions. This project is licensed under the MIT License.