Skip to main content
Springer Nature Link
Log in

PAVE: A Web Application to Identify and Correct Accessibility Problems in PDF Documents

  • Conference paper
Computers Helping People with Special Needs (ICCHP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8547))

Included in the following conference series:

Abstract

This paper describes the implementation of the PDF Accessibility Validation Engine (PAVE). PAVE is a web based application for identifying and correcting accessibility issues in PDF documents. The accessibility analysis is based on the PDF/UA standard.

We previously introduced the idea of such a system in [1]. The entire application runs on a web server, allowing users to both analyze a PDF document in regard to accessibility issues and then to directly fix these issues within the browser, thus relieving them from installing software. A simple and intuitive user interface allows both experts as well as users with only little previous knowledge of PDF accessibility to work with PAVE.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Darvishy, A., Hutter, H.-P., Mannhart, O.: Web application for analysis, manipulation and generation of accessible PDF documents. In: Stephanidis, C. (ed.) Universal Access in HCI, Part IV, HCII 2011. LNCS, vol. 6768, pp. 121–128. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  2. Adobe Systems Incorporated. Portable Document Format (PDF 1.7). ISO 32000 (2008)

    Google Scholar 

  3. Adobe Systems Incorporated. PDF Reference, 3rd edn., PDF 1.4 (2001)

    Google Scholar 

  4. Use of ISO 32000-1 (PDF/UA-1). ISO 14289-1 (2012)

    Google Scholar 

  5. World Wide Web Consortium. Web Content Accessibility Guidelines (WCAG) 2.0, http://www.w3.org/TR/WCAG20/ (Online; accessed January 29, 2014)

  6. Adobe Systems Incorporated. Adobe Acrobat XI Pro, http://www.adobe.com/products/acrobatpro.html (Online; accessed January 29, 2014)

  7. Microsoft Corporation. Microsoft Word, http://office.microsoft.com/word/ (Online; accessed January 29, 2014)

  8. NetCentric Technologies. CommonLook PDF, http://www.commonlook.com/CommonLook-PDF (Online; accessed January 29, 2014)

  9. Access for all Foundation. PDF Accessibility Checker (PAC2), http://www.access-for-all.ch/en/pdf-lab/pdf-accessibility-checker-pac.html (Online; accessed January 29, 2014)

  10. PDF Association. Matterhorn Protocol 1.0, http://www.pdfa.org/wp-content/uploads/2013/08/MatterhornProtocol_1-0.pdf (Online; accessed January 29, 2014)

  11. eGovMon project. Tingtun PDF Checker, http://accessibility.tingtun.no/en/pdfcheck/ (Online; accessed January 29, 2014)

Download references

Author information

Authors and Affiliations

  1. ZHAW Zurich University of Applied Sciences InIT Institute of Applied Information Technology Winterthur, Switzerland

    Luchin Doblies, David Stolz, Alireza Darvishy & Hans-Peter Hutter

Authors
  1. Luchin Doblies
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David Stolz
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alireza Darvishy
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hans-Peter Hutter
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute “Integriert Studieren”, Johannes Kepler University, Altenbergerstr. 69,, 4040, Linz, Austria

    Klaus Miesenberger

  2. Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, ON, Canada

    Deborah Fels

  3. THIM/EA 4004 CHArt, Université Paris 8 Vincennes-Saint Denis, 2 rue de la liberté, 93526, Saint-Denis Cedex, France

    Dominique Archambault

  4. Teiresias Centre, Masaryk University, Botanická 68A, 602 00, Brno, Czech Republic

    Petr Peňáz

  5. Institute “Integriert Studieren”, Vienna University of Technology, Favoritenstraße 11/029, Vienna, 1050, Austria

    Wolfgang Zagler

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Doblies, L., Stolz, D., Darvishy, A., Hutter, HP. (2014). PAVE: A Web Application to Identify and Correct Accessibility Problems in PDF Documents. In: Miesenberger, K., Fels, D., Archambault, D., Peňáz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2014. Lecture Notes in Computer Science, vol 8547. Springer, Cham. https://doi.org/10.1007/978-3-319-08596-8_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-08596-8_29

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08595-1

  • Online ISBN: 978-3-319-08596-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics