Here you'll find some of the Trove team's experiments with the API. They may not be production-ready apps, but we think they demonstrate some of the possibilities of Trove's data.

Eyes on the past

Screen capture from Eyes on the Past

Eyes on the past is an experimental interface to the digitised newspapers on Trove. It uses object detection technologies to pick out faces and eyes from newspaper pages and presents a random selection for exploration.

In a word: Currents in Australian affairs, 2003-2013

Screen shot of In a Word

In a word investigates patterns in stories broadcast on ABC Radio's current affairs programs – AM, PM and The World Today. One word per month is selected from each program through a statistical measure known as TF-IDF. What can you read in a single word?

Find out more on the Trove blog.

Locate Trove newspapers

Screen capture from site

An early experiment in providing some sort of place-based interface to Trove newspapers. Just enter a place name and state and it will attempt return the ten nearest newspaper titles to that location.

Research Trends - Exploring Australian Theses, 1950-2012

Research Trends is an experimental interface that uses metadata about Australian theses to explore changes over time in Australian research.

Trove Collection Profiler

Screen cap from Collection Profiler

The Trove Collection Profiler is an experimental tool that helps you explore the many individual collections that are aggregated by Trove. Filter by institution, keyword and date, and then view resources over time and by format.

Trove is...

Screen capture of Trove Is...

Trove is big... really big. Trove is... provides a snapshot of Trove's current holdings, with statistics updated daily and an assortment of random samples.

Trove zone explorer

Screen capture of Trove zone explorer

The Trove zone explorer allows you to navigate Trove by zone and format. What sort of resource lives where?


5% provides visualisations on digitised newspapers that have the most corrections, plots tags and comments for individual titles over time and highlights the more neglected papers.