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IIIF Image API Validator

Project Description

This validator supports the same validations that are available on the IIIF website at



  • lxml
  • bottle
  • python-magic (which requires libmagic)
  • PIL (via Pillow)

On a mac one can do:

brew install libmagic
pip install lxml bottle python-magic pillow

Command line validator,

Then for an image served at http://localhost:8000/prefix/image_id the validator can be run with: -s localhost:8000 -p prefix -i image_id --version=2.0 -v

or similar to validate server with the test image. Use iiif-validate -h for parameter details.

Use with Travis CI

To install dependencies for this code the following lines must be present in the install: section of .travis.yml:

  - sudo apt-get update
  - sudo apt-get install libmagic-dev
  - pip install Pillow iiif_validator

and then a single validation can be added to the commands under the script: section of .travis.yml. For example, to test a server running with base URI http://localhost:8000/prefix with image image_id1 at version 1.1, level 1, one might use:

  - -s localhost:8000 -p prefix -i image_id1 --version=1.1 --level 1 --quiet

The script returns 0 exit code on success, non-zero on failure, in order to work easily with Travis CI.

Running the validator server,

The primary installation of the validator server is on the IIIF website at

Stand-alone server

The validator server runs at http://localhost:8080/ by default, the URI path is the test name and then the query parameters give the details of the server and image to be tested. The URI pattern is:


As an example, if the test server <> is installed and run locally:

easy_install iiif

which will set up a server at http://localhost:8000/ and write the log of accesses to STDOUT. The one can run validation tests against this with requests like http://localhost:8080/info_json?server=localhost:8000&prefix=/2.0_pil_none&identifier=67352ccc-d1b0-11e1-89ae-279075081939.png&version=2.0 which tests the info.json response and gives JSON output (pretty formatted here):

  "test": "info_json",
  "status": "success",
  "tests": ["required-field: width", "required-field: height", "type-is-int: height", "type-is-int: width", "required-field: @id", "type-is-uri: @id", "@id is correct URI", "required-field: @context", "correct-context", "required-field: protocol", "correct-protocol", "required-field: profile", "is-list", "profile-compliance", "is-list", "is-object", "required-field: scaleFactors", "required-field: width", "type-is-int: width"],
  "url": ["http://localhost:8000/2.0_pil_none/67352ccc-d1b0-11e1-89ae-279075081939.png/info.json"],
  "label": "Check Image Information"

and http://localhost:8080/rot_mirror?server=localhost:8000&prefix=/2.0_pil_none&identifier=67352ccc-d1b0-11e1-89ae-279075081939.png&version=2.0 which tests mirroring and will give JSON output (again pretty formatted):

  "test": "rot_mirror",
  "status": "success",
  "tests": ["9,0:True", "0,9:True"],
  "url": ["http://localhost:8000/2.0_pil_none/67352ccc-d1b0-11e1-89ae-279075081939.png/full/full/!0/default.jpg"],
  "label": "Mirroring"

Validator server under WSGI

need docs here

Running with Vagrant

For ease of development and local testing, you can provision a virtual machine using Vagrant. To start Vagrant, ssh in, and run the validator on a site:

vagrant up
vagrant ssh
cd /vagrant
./ -h
./ --scheme=https -s -p iiif --level=2 -i 67352ccc-d1b0-11e1-89ae-279075081939

In addition, the Vagrant configuration runs the validator as a WSGI application using mod_wsgi and Apache httpd, accessible both from with the VM as well as the host machine at http://localhost:8080/.

Editing this README

This README is in reStructuredText and not gfm because that is what pypi will render. An editor like is useful for editing/checking interactively.

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