The svgtoquiz script generates graphical question/answer pairs for flash-card programs, like:

  • The Mnemosyne Project, which has some great features including a spaced repetition scheduling algorithm that aims to optimise learning, and the ability to embed latex renderings—including characters from the IPA—and images. I personally use Mnemosyne, and it is the default output format of svgtoquiz.
  • ndsrs, a spaced-repetition flash-card program for the Nintendo DS. See below for some screenshots. There is an --export=ndsrs option in svgtoquiz for generating an ndsrs import file. This feature was developed with the information and testing of Uwe Beiküfner.
  • Support for other flash-card programs can be added via export plugins. Please contact me if interested.

Svgtoquiz generates card sets for memorising details of images, such as states or countries from a map, or the names of bones or muscles from a schematic of the body. It reads an svg file and extracts all path elements whose id attributes match a given regular expression. It highlights each path in turn, by changing the fill colour, and produces image files that Mnemosyne can read. The script also produces an XML file, containing a set of questions and answers linked to the generated graphic files, for import into Mnemosyne. If the id values are not suitable as questions, a separate csv file can be created, in Excel for example, to map each id value to more appropriate text.

Many svg files can be found on the Internet, for example at Wikimedia Commons (especially the maps section). For example this map of the USA was used to produce cards for memorising the fifty united states of America.

screenshot of a card produced by svgtoquiz.
screenshot of another card produced by svgtoquiz.
Figure 1: Example questions

By default the script considers all path elements that have an id attribute, but there is also a --groups option that processes svg groups at a given depth, and options --enter-group and --not-enter-group that take regular expressions describing which groups to enter (treat transparently) and which to handle as elements (treat opaquely). This web page, some examples in the distribution, the output of the -h option, and the source code itself are currently the only documentation, I plan to add a manual page as time permits. Please email me examples that do not work, or, even better, send patches!

Extracting and naming image elements

The set of flash cards produced by svgtoquiz comprises both images and textual labels, for instance ‘Florida’ in Figure 1. By default the labels are taken from the id attributes of the svg path elements. Sometimes, however, the names of these elements are not helpful, for example a particular country may have the id ‘path1208’ instead of more informative text. Also, only some of the paths should normally be turned into question/answer pairs.

There are two ways to add meaningful labels. Either edit the svg source and use regular expressions to select paths, using options --id-regex and --not-id-regex. Or create an auxiliary csv file that maps ids to labels, possibly using the --match-csv option to ignore ids not listed inside the file.

Editing svg labels in Inkscape

This technique has the advantage of enhancing the original svg image, although extra care must be taken to preserve groupings.

  1. Open the svg image in Inkscape.
  2. Select all the elements and choose Ungroup from the Object menu. It may be necessary to repeat this step multiple times. Svgtoquiz ignores the ids of grouped elements.
  3. Right-click on any element and choose Object Properties. Leave the window that appears open for the remainder.
  4. Click on each element in turn, edit the id and label in the properties window and click set. The id may only contain ASCII characters. Consider using ids that can be matched with a regular expression, for example: precede each with an underscore.
  5. Finally save the image.

Creating an auxiliary csv file

When processing an svg file, svgtoquiz automatically looks for a csv file with a matching name. The csv file has one row for each path, ids are matched against the first column, and labels are taken from the second. An example extract from a csv file is shown on the left in Figure 2, below.

screenshot of the --gui-csv-edit interface.
Figure 2: Example csv file (left), graphical interface (right)

This file can be created in a text editor or spreadsheet, but because relating ids to labels can be tedious, svgtoquiz has a feature for editing the file, Type: --gui-csv-edit <filename>

An editor window, as per Figure 2, will appear. The image size can be adjusted with the --zoom option. Each path is presented in turn, the --id-regex and --not-id-regex options permit some automatic filtering by regular expression. Enter a label and click next to add a row to the csv file. Click ignore to skip over an element. Click save when finished and use the --match-csv option when running svgtoquiz again to generate the flash cards.

Miscellaneous tips and features

Reducing the size of card sets

Inkscape and rsvg create RGB png files, but indexed png files are much smaller. Converting the files produced by svgtoquiz into the indexed format can halve the size of a card set. ImageMagick contains a convert command that does the job. This (unix) shell script converts all of the png files in the current working directory:

for f in *.png; do \
    convert -colors 256 $f $f.png && mv $f.png $f; \

In most cases the converted images will appear identical to the originals.

SVG Groups

To respect groups, at the top level, use the option --groups=0. To descend into the first level of groups, usually inkscape layers, use --groups=1.

The --enter-group=<regex> and --not-enter-group=<regex> options afford more control. The arguments are python regular expressions, matched against either the full id or the part selected by the --id-regex option. The --not-enter-group setting takes precedence.

Use svg grouping to generate a single highlighted question/answer card for a set of paths.

Downloads and installation

Download v2.0.1 (20131006):

The source repository is on launchpad.

Svgtoquiz is written in Python. It requires three libraries:

It also requires an external program for turning svg files into png files. There are currently two possibilities:

Both work well; rsvg seems faster but does not support Unicode properly.

Installation on Unix

  1. Install the Python Imaging library.
    • Ubuntu:
      sudo apt-get install python-imaging
      sudo apt-get install python-imaging-tk
    • FreeBSD: install the graphics/py-imaging port.
  2. Install Tkinter.
  3. Install either:
  4. Download the Python 2.7 Egg and type:
    easy_install svgtoquiz-2.0.0-py2.7.egg
    What documentation there is can then be extracted with
    svgtoquiz --extract-docs=doc

Thanks to Patrick Kenny for feedback and testing on Ubuntu.

An alternative is to download the source package and try installing from—it should download the module dependencies.

Installation on Windows

  1. Install setuptools.
  2. Install Python Imaging Library.
  3. Install Inkscape.
  4. Download and run the Windows installer. What documentation there is can then be extracted from a command prompt:
    C:\Python25\Scripts\svgtoquiz --extract-docs=doc
    (modifying the path as appropriate, or even adding it to the system path.)

Thanks to Paul Chivers for testing and patches for Windows.

Installation on Mac

This should be similar to the instructions for Unix. Tobias Hill reports his experience installing rsvg:

  1. Install Darwin ports.
  2. Ensure that /opt/local/bin is on the search path.
  3. Update MacPorts: sudo port -d selfupdate.
  4. Install rsvg: sudo port install rsvg
    It may be necessary to run this command several times.

Installation and packaging

Suggestions to improve the installation instructions are welcome. Feel free to repackage and distribute the script provided the BSD license is respected.

More examples

Figure 3: More example cards

The examples of Figure 3 further demonstrate both the beauty of images available on the Wikimedia Commons and the possibilities of svgtoquiz. The image at right demonstrates a patch submitted to the Mnemosyne Project that overlays the answer image on top of the original question image, which was the same map with the Rhône-Alpes region coloured green.

Other Projects

Card generation for ndsrs

Uwe Beiküfner is using svgtoquiz as part of his program for generating decks for the ndsrs flash card program on Nintendo DS. Some screenshots are shown in Figure 4.

Screenshot from ndsrs showing flash card of German state.
Screenshot from ndsrs showing flash card of USA.
Figure 4: Screenshots from NDSRS