Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
| University Libraries
See Updates and FAQs for the latest library services updates. Subject Librarians are available for online appointments, and Virtual Reference has extended hours.


A guide describing how to use Tropy, a research photo management tool

What is Tropy?

Tropy is a free software that enables you to organize and describe photographs of research material. Once your photographs are imported into Tropy you can organize them into items and then lists. You are also able to describe the content of the photographs, tag them, and transcribe any information contained within the image. Metadata templates are customizable and include multiple fields for different properties of the content of your photographs, such as title, date, author, box, folder, collection, and archive. Tropy's search functionality enables the metadata, tags, and notes for each photograph to be searchable. 

Tropy is not any of the following: 

  • Photo editing software, like Photoshop. 
  • A citation manager (see Zotero for that). 
  • A platform for writing your research. 
  • A platform for presenting your research online (see Omeka for that).  

Watch this screencast to learn more about getting started with Tropy. You can also watch another screencast for an introduction to Tropy. 

This infoguide borrows heavily from the Tropy documentation. Please see the documentation itself, as well as this guide's Documentation and Tutorials tab, for more information on other functionalities of Tropy. 

Related InfoGuides

Please see the following related guides for further help with your digital humanities project or work of digital scholarship.

  • Research Data Management Basics. Learn best practices for managing research data, including documenting and describing data and organizing and naming files. 
  • Working with Data. This guide takes users through the basics of using a computer, file management, data cleaning, and coding.
  • Citing Data. Discover the best ways to construction citations for datasets, including information on components of a data citation and citation styles. 
  • Software for Digital Scholarship. Find detailed information on statistical, geospatial, qualitative, and quantitative software that is used in digital scholarship. 
  • Digital Humanities. Learn about the concepts, methodologies, and tools of digital humanities, and view various digital humanities projects.