Lucidor vs Tellico
February 05, 2026 | Author: Maria Lin
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Lucidor is a simple tool for reading, managing and organizing your eBooks within your own personal bookcase. It supports ePub and OPDS catalog files. You can search for eBooks online and download them right into the application. A unique feature Lucidor has is the ability to have multiple eBooks open at one time. It does this via it’s tabbed interface, which is much like a Web browser. Lucidor even supports themes. There is also a search bar for finding specific keywords or phrases within your content.
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Tellico is a software application for organizing your book collection. Tellico allows you to enter your collection in a catalogue database, saving many different properties like title, author, etc. Different views of your collection can be shown. The data is saved in XML, a text format which makes for easy parsing, portability, and styling. It will run on any platform which KDE supports, most commonly Linux. Tellico is licensed under the GNU General Public License, giving you the freedom to modify and distribute the source code.
See also:
Top 10 eBook Organizers
Top 10 eBook Organizers
Lucidor vs Tellico in our news:
2021. Book collection software for Linux Tellico gets Graphical chart reports
KDE-based collection software Tellico 3.4 is available, with several new features, updated data sources, bug fixes and build changes. New data sources for UPCitemdb, TVmaze and Numista were added. Batch searching was added for ISBNdb. The Group View can now be sorted by fields other than the title. The MultiFetcher data source was improved to “daisy-chain” results from multiple sources, merging them together. For example, a UPC search with UPCitemdb could be connected such that the result has additional information from TMDb. Entries can now be filtered using minimum or maximum image size. Importing from the Collectorz software family was added. Graphical chart reports were added (requires compiling with QtCharts). Overall, the entry updating and merging was also improved to both make a better search request as well as match existing results more efficiently.
