Doccano

About

Doccano is a free, open-source data labeling tool for machine-learning practitioners. It supports text classification, sequence labeling, and sequence-to-sequence annotation, with use cases such as sentiment analysis, named entity recognition, and text summarization. Users configure a project, import datasets, add collaborators, annotate examples, and export labeled datasets. REST APIs let scripts connect Doccano with machine-learning models for labeling, and multiple people can annotate collaboratively. Installation options include pip, Docker, Docker Compose, source, or cloud deployment; Linux, Windows, and macOS machines running Python 3.8 or later are listed. SQLite 3 is the default database, while the installation guide describes PostgreSQL configuration and mentions MySQL as an option. Imported datasets can be stored with Amazon S3 or Google Cloud Storage. Integration guidance includes Amazon Comprehend Sentiment Analysis and custom REST APIs for auto-labeling. The project also lists mobile support, emoji support, a dark theme, and multiple languages. An upgrade caveat matters for SQLite users: the installation guide warns that upgrading can result in database loss.

Who it is for

Doccano suits machine-learning practitioners who need collaborative labeling for text tasks and want to connect workflows through REST APIs. It can be installed on Linux, Windows, or macOS machines running Python 3.8 or later.

Compared on data labeling software

Image annotation

Yesdoccano.github.io

Text annotation

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Audio/video annotation

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Model-assisted labeling

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Review workflow

Yesdoccano.github.io

API or SDK access

Yesdoccano.github.io

Deployment

bothdoccano.github.io

Facts

Purpose

Doccano is an open-source data labeling tool for machine learning practitioners.doccano.github.io · 2 Oct 2026

Annotation tasks

The roadmap lists text classification, sequence labeling, and sequence-to-sequence annotation as supported tasks.doccano.github.io · 2 Oct 2026

Labeling workflow

Users can configure a project, import datasets, add users, annotate data, and export labeled datasets.doccano.github.io · 2 Oct 2026

REST API

Doccano can be integrated with scripts through REST APIs for labeling data with machine learning models.doccano.github.io · 2 Oct 2026

Web interface

The frontend is a JavaScript web app built with Vue.js and Nuxt.js.doccano.github.io · 2 Oct 2026

Supported systems

The install guide says doccano can be installed on Linux, Windows, or macOS machines running Python 3.8 or later.doccano.github.io · 2 Oct 2026

Cloud storage

The cloud storage guide lists Amazon S3 and Google Cloud Storage for storing imported datasets.doccano.github.io · 2 Oct 2026

Team collaboration

The roadmap lists collaboration with multiple people as supported functionality.doccano.github.io · 2 Oct 2026

Database options

SQLite 3 is the default database, and the installation guide also describes PostgreSQL and mentions MySQL as an option.doccano.github.io · 2 Oct 2026

Upgrade limitation

The installation guide warns that upgrading can lose the database when SQLite3 is used.doccano.github.io · 2 Oct 2026

Support

The getting-started page directs users to the FAQ and says they can contact the author for help and feedback.doccano.github.io · 2 Oct 2026

Use cases

It can create labeled data for sentiment analysis, named entity recognition, and text summarization.github.com · 3 Oct 2026

Collaboration

Features include collaborative annotation and multi-language support.github.com · 3 Oct 2026

Interface

The project lists mobile support, emoji support, and a dark theme among its features.github.com · 3 Oct 2026

API

Doccano provides a RESTful API, and its documentation says it can be integrated with scripts through REST APIs.doccano.github.io · 3 Oct 2026

Installation

Doccano can be installed using pip, Docker, or Docker Compose.github.com · 3 Oct 2026

Operating systems

The installation guide says doccano can be installed on Linux, Windows, or macOS machines running Python 3.8 or later.doccano.github.io · 3 Oct 2026

Integrations

The auto-labeling guide demonstrates Amazon Comprehend Sentiment Analysis and allows users to configure a custom REST API.doccano.github.io · 3 Oct 2026

Login integrations

The OAuth guide describes social login via GitHub and Active Directory, and provides Okta setup instructions.doccano.github.io · 3 Oct 2026

Data storage

SQLite 3 is the default database; the installation guide also describes configuring PostgreSQL and other database systems.doccano.github.io · 3 Oct 2026

Known upgrade limitation

The installation guide warns that upgrading the package while using SQLite 3 can lose the database.doccano.github.io · 3 Oct 2026

Project origin

The repository citation lists the project year as 2018 and names Hiroki Nakayama and four coauthors.github.com · 3 Oct 2026

Company

Founded

2018doccano.github.io · 28 Sept 2026

Where it ranks on Inferse

• Best Data Labeling Software in 2026#2 of 24

Sources

• doccano.github.io/doccano/· checked 2 Oct 2026
• doccano.github.io/doccano/roadmap/· checked 2 Oct 2026
• doccano.github.io/doccano/install_and_upgrade_doccano/· checked 2 Oct 2026
• doccano.github.io/doccano/setup_cloud_storage/· checked 2 Oct 2026
• github.com/doccano/doccano· checked 3 Oct 2026
• doccano.github.io/doccano/advanced/auto_labelling_config/· checked 3 Oct 2026
• doccano.github.io/doccano/advanced/oauth2_settings/· checked 3 Oct 2026