What is Taguette?

Updated

Taguette is a free, open-source, web-based tool for tagging documents and analyzing qualitative data. It fits researchers and teams who need to upload a set of documents, build a hierarchy of tags, and annotate passages with tags and notes they can retrieve and reorganize later. If your work involves reading interviews, field notes, or other text sources and marking them up by theme, Taguette is built for that task.

What Taguette does

The core workflow described by the project is straightforward:

  • Upload a collection of documents — your source material lives inside the tool.
  • Create a hierarchy of tags — tags can be nested, so broad themes can contain sub-themes.
  • Annotate portions of documents — highlight a passage and attach one or more tags, plus notes.
  • Recall and organize later — tagged excerpts and notes can be pulled back up for review and restructuring.

That combination — document set, tag tree, passage-level annotation, and retrievable notes — is what makes it a qualitative data analysis tool rather than a plain text editor or note app.

Who it is for

Taguette suits situations where the analysis is interpretive and passage-based, for example:

  • Coding interview transcripts by theme.
  • Marking up open-ended survey responses.
  • Tagging field notes or diary entries across multiple participants.
  • Collaborative projects where several people need to apply a shared tag scheme.

Because it is web-based, the practical requirement is a browser and access to the instance you use. The project offers a hosted registration path and is also open source, so it can be self-hosted by those who need their data to stay on their own infrastructure.

Key facts

Aspect Detail
Purpose Document tagging for qualitative data analysis
Access Web-based
Cost Free to register per the project site
License BSD-3-Clause
Current release noted 1.5.2-3-gf706e2e
Maintainers Rémi Rampin and Taguette contributors
Support channels User documentation, GitLab issue tracker, [email protected]

What to check before committing

  • Hosting and data location. Decide whether the hosted option or a self-hosted instance matches your data-handling requirements; the open-source license makes self-hosting possible.
  • Your analysis style. Taguette centers on tagging text passages. If your method depends on heavy statistical coding, multimedia annotation, or complex querying, confirm those needs are covered before adopting it.
  • Collaboration needs. Since tags and notes are meant to be shared and reorganized, check how your team would divide coding work and reconcile tag schemes.

To get started, register on the project site, upload your documents, and begin building your tag hierarchy.