doccano

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

WeightsClosed

About

doccano is ranked #4 of 21 in AI data labeling tools on Inferse. It runs on Android, API, iOS, Linux, macOS, Self-hosted, Web, Windows. There is a free plan.

Compared on AI data labeling tools

Supported modalities: text, image, audiogithub.com
Model-assisted labeling: Yesgithub.com
Human review workflows: Yesgithub.com
Custom ontologies: Yesgithub.com
Deployment options: self hostedgithub.com
API access: Yesgithub.com

Facts

Purpose: doccano is an open-source text annotation tool for humans and machine-learning practitioners.github.com · 30 Sept 2026
Task types: It supports text classification, sequence labeling, and sequence-to-sequence tasks.github.com · 30 Sept 2026
Use cases: The project lists sentiment analysis, named-entity recognition, and text summarization as examples.github.com · 30 Sept 2026
Collaboration: Features include collaborative annotation, multi-language support, mobile support, emoji support, and a dark theme.github.com · 30 Sept 2026
Workflow: Users can create projects, import datasets, add users, define annotation guidelines, annotate data, and export labeled datasets.doccano.github.io · 30 Sept 2026
API: doccano provides REST APIs for integrating it with scripts and machine-learning models.doccano.github.io · 30 Sept 2026
Installation: The official project documents installation with pip, Docker, and Docker Compose.github.com · 30 Sept 2026
Runtime requirement: The documentation says doccano can be installed on Linux, Windows, or macOS machines running Python 3.8 or newer.doccano.github.io · 30 Sept 2026
Cloud deployment: The project documents one-click deployment options for AWS and Heroku and deployment anywhere by Docker.github.com · 30 Sept 2026
Storage integrations: Supported cloud storage backends for imported datasets are Amazon S3 and Google Cloud Storage.doccano.github.io · 30 Sept 2026
Database options: SQLite 3 is the default database, and the documentation also describes PostgreSQL and other database systems.github.com · 30 Sept 2026
Task queue integrations: doccano uses Celery for long-running import and export tasks and documents SQLite3, RabbitMQ, and Redis as message-broker options.doccano.github.io · 30 Sept 2026
Security status: The GitHub repository says no SECURITY.md security policy has been detected and no security advisories have been published.github.com · 30 Sept 2026
Support: The documentation directs users who are stuck to the FAQ and says help and feedback can be sent to the author.doccano.github.io · 30 Sept 2026
Upgrade limitation: The installation documentation cautions that upgrading a SQLite3 installation can lose its database.doccano.github.io · 30 Sept 2026