<h2>Services</h2>
<div class="row">
  <div class="col s12 m4">
    <img alt="Services" class="materialboxed responsive-img" src="{{ url_for('static', filename='images/manual/services.png') }}">
  </div>
  <div class="col s12 m8">
    <p>
      nopaque was designed from the ground up to be modular. This modularity
      means that the offered workflow provides variable entry and exit points,
      so that different starting points and goals can be flexibly addressed.
      Each of these modules are implemented in a self-contained service, each of
      which represents a step in the workflow. The services are coordinated in
      such a way that they can be used consecutively. The order can either be
      taken from the listing of the services in the left sidebar or from the
      roadmap (accessible via the pink compass in the upper right corner). All
      services are versioned, so the data generated with nopaque is always
      reproducible.
    </p>
  </div>
</div>

<h3>File Setup</h3>
<p>
  The <a href="{{ url_for('services.file_setup_pipeline') }}">File Setup Service</a> bundles image data, such as scans and photos,
  together in a handy PDF file. To use this service, use the job form to
  select the images to be bundled, choose the desired service version, and
  specify a title and description. Please note that the service sorts the
  images into the resulting PDF file based on the file names. So naming the
  images correctly is of great importance. It has proven to be a good practice
  to name the files according to the following scheme:
  page-01.png, page-02.jpg, page-03.tiff, etc. In general, you can assume
  that the images will be sorted in the order in which the file explorer of
  your operating system lists them when you view the files in a folder
  sorted in ascending order by file name.
</p>

<h3>Optical Character Recognition (OCR)</h3>
<p>Comming soon...</p>

<h3>Handwritten Text Recognition (HTR)</h3>
<p>Comming soon...</p>

<h3>Natural Language Processing (NLP)</h3>
<p>Comming soon...</p>

<h3>Corpus Analysis</h3>
<p>
  With the corpus analysis service, it is possible to create a text corpus
  and then explore it in an analysis session. The analysis session is realized
  on the server side by the Open Corpus Workbench software, which enables
  efficient and complex searches with the help of the CQP Query Language.
</p>
