Labelbuddy

github.com/jeromedockes/labelbuddy Writing Apps Open-source projectOpen source

The labelbuddy project provides a desktop application for labeling text.

github.com/jeromedockes/labelbuddy
Labelbuddy homepage screenshot

About Labelbuddy

Labelbuddy is an open-source desktop application for annotating documents, for example for named entity recognition, sentiment analysis, and document classification. Users import documents and labels from TXT, JSON, or JSON Lines files or create labels in the app, then attach labels to whole documents or specific text spans and export the results.

Projects are stored as single binary files that can be copied, shared, or deleted, and the application works completely offline. It is described as an alternative when server hosting and online annotation by many users are not needed.

Key features

  • Annotate full documents or specific text spans with labels
  • Create labels in app with colors and shortcut keys
  • Import documents and labels from TXT, JSON, JSON Lines
  • Export documents, annotations, and labels
  • Store project as single file database for copying and sharing
  • Work completely offline with command-line options
Best for: People annotating text on a single desktop computer, including confidential material that must stay offline.
Good for
  • Works completely offline, which the documentation notes as suitable for confidential data
  • Stores a project as an ordinary file that can be copied, shared, or deleted
  • Provides a temporary demo database with example documents and labels
Watch out for
  • Not intended for crowdsourced annotation by many users online via a server
  • Plain text (.txt) is listed as import-only for documents and labels

Labelbuddy at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Labelbuddy FAQ

How can I try Labelbuddy without my own data?
Select File › Demo in the menu or run labelbuddy --demo to open a temporary demo database pre-loaded with example documents and labels.
Which file formats can be imported?
Documents, annotations, and labels can be imported from plain text (.txt), JSON (.json), and JSON Lines (.jsonl); plain text is import-only.
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