doccano is a data labelling and text annotation platform for machine learning practitioners.
It’s designed for building datasets used in natural language processing workflows, including text classification, sequence labelling, sequence-to-sequence tasks, sentiment analysis, named entity recognition, and text summarisation. The software provides a browser-based environment where users can create projects, upload data, annotate records, manage labelling work, and export completed datasets for further analysis or model training.
This is free and open source software.
Key Features
- Collaborative annotation workflow for teams working on labelling projects.
- RESTful API for integrating annotation workflows with scripts and machine learning models.
- Supports multiple languages for data annotation tasks.
- Mobile-friendly interface for working across different devices.
- Emoji support for annotation projects that need expressive labels or content handling.
- Dark theme for a more comfortable interface in low-light environments.
- Can be installed with pip, Docker, or Docker Compose.
Website: github.com/doccano/doccano
Support:
Developer: Hiroki Nakayama and contributors
License: MIT License
doccano is written in Python. Learn Python with our recommended free books and free tutorials.
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