Taguette review
A privacy-friendly choice for manual document coding, tagging, collaboration, and exports.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Taguette is free, open-source software for qualitative research and document coding. It is designed for researchers who need to import source materials, highlight words, sentences, or paragraphs, apply user-created tags, and organize coded passages. Supported formats include PDF, DOCX, TXT, HTML, EPUB, MOBI, ODT, and RTF. Work can be performed locally on Windows, macOS, or Linux, through a web interface, or on a self-hosted server.
Its strongest fit is a privacy-conscious workflow that keeps documents local or offline for single-user work. Taguette supports hierarchical tags, lets users create, edit, merge, and organize them, and allows multiple tags on the same highlighted passage. For teams, collaboration is available through a hosted or self-hosted server. Projects, codebooks, highlights, quotes, and highlighted documents can be exported, while SQLite and other SQLAlchemy-supported database backends provide storage options. These capabilities make it practical for structured, human-led qualitative analysis rather than broad text-processing pipelines.
Taguette should suit researchers who value cost-free access, open-source software, local processing, and direct control over document coding. It is also a reasonable choice when exportable codebooks and highlighted results matter. Buyers seeking automated sentiment, entity, intent, or topic analysis should choose a product built around those capabilities instead. Taguette’s focus is narrower: it provides tools for importing documents, marking passages, managing tags, collaborating around coded materials, and exporting results. That focus is an advantage for qualitative annotation, but it does not replace an automated text analytics system.
Taguette pros and cons
- Where it wins
- Imports PDF, DOCX, TXT, HTML, EPUB, MOBI, ODT, and RTF files
- Supports hierarchical tags and multiple tags on highlighted passages
- Offers local, hosted, self-hosted, and offline workflows
- Where it doesn't
- Focuses on qualitative coding rather than automated quantitative text analysis
- Collaborative work requires a hosted or self-hosted server
- Tag organization and highlighting are primarily user-directed workflows
Taguette fact sheet, pricing and score →
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