NER Annotator for SpaCy allows you to create training data for creating a custome NER Model with custom tags. It can either be access as a web application directly from https://tecoholic.github.io/ner-annotator/ or can be installed in Linux systems as a desktop application.

🚀 You can now sponsor this project for specific features your need.

💰 Click the sponsor button on the right. 👉

An experimental version of the annotator is also available for

• Linux as a Debian Package or an AppImage
• Windows as a x64 MSI Installer

1. Node JS 12.x or 14.x
2. Yarn Package Manager
3. Rust (for building desktop versions)

1. Open another terminal and start the server for the UI

yarn
yarn serve

Now go to https://localhost:8081/ner-annotator/

The desktop applications have been created using Tauri.

yarn tauri:serve

To build the final binaries run

yarn tauri:build

1. App Icon - Ornithology icons created by Freepik - Flaticon

• Adds "Back" button that allows navigating back to sentences/text blocks that's already been tagged and make changes.

• Rewritten UI using Quasar framework
• Export and Import tags

• #14 - Remembers tags across sessions
• #3 - Adds a button to enable/disable removing of tags to prevent accidental removal of tags

• Adds the desktop application