Full-text search
Quick search across the entire website, GDPR-compliant and without the use of external services.
The problem
The standard search on many university websites returns too much or the wrong thing. Prospective students and staff cannot find documents because PDFs and technical terms are not indexed.
What the extension does
Features that really count in day-to-day university operations.
Solr backend
Apache Solr indexes pages, files and records — fast even on very large websites.
Facets
Narrow results by type, section or date.
PDF full text
Content from PDF, Word and Office documents is indexed as well.
Multilingual
Language-specific word stems and synonyms for German and English.
Search statistics
Which terms people search for and where results are missing — as a basis for the editorial team.
Autocomplete
Suggestions while typing, including typo tolerance.
Accessible
Keyboard-operable and screen reader-friendly.
Responsive
Search interface optimised for desktop and smartphone.
Technical profile
What your IT team will want to know up front.
Frequently asked questions
More questions? Write to us.Yes, Apache Solr version 9 or later. We set it up on your infrastructure or run it as part of a hosting package.
Yes. Text from PDF, Word and other Office files is extracted and indexed as well.
Solr tolerates typos via fuzzy matching and suggests corrected terms.
Yes. Page trees, file types or individual pages can be specifically removed from the index.