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International Conference on Computers for Handicapped Persons

ICCHP 2014: Computers Helping People with Special Needs pp 185–192Cite as

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

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

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.

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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)

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

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

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  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)

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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
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  2. David Stolz
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  3. Alireza Darvishy
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  4. Hans-Peter Hutter
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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

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© 2014 Springer International Publishing Switzerland

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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

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  • 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)

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