doccano is an open source text annotation tool for human. It provides annotation features for text classification, sequence labeling and sequence to sequence. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create project, upload data and start annotation. You can build dataset in hours.

Programming language: Python
License: MIT License
Latest version: v1.0.5

doccano alternatives and similar packages

Based on the "Django" category.
Alternatively, view doccano alternatives based on common mentions on social networks and blogs.

Do you think we are missing an alternative of doccano or a related project?

Add another 'Django' Package



Codacy Badge doccano CI

doccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence to sequence tasks. So, you can create labeled data for sentiment analysis, named entity recognition, text summarization and so on. Just create a project, upload data and start annotating. You can build a dataset in hours.


You can try the annotation demo.

Demo image


Read the documentation at the https://doccano.github.io/doccano/.


  • Collaborative annotation
  • Multi-language support
  • Mobile support
  • Emoji :smile: support
  • Dark theme
  • RESTful API


Three options to run doccano:

  • pip (Python 3.8+)
  • Docker
  • Docker Compose


To install doccano, simply run:

pip install doccano

By default, SQLite 3 is used for the default database. If you want to use PostgreSQL, install the additional dependencies:

pip install 'doccano[postgresql]'

and set DATABASE_URL environment variable according to your PostgreSQL credentials:


After installation, run the following commands:

# Initialize database.
doccano init
# Create a super user.
doccano createuser --username admin --password pass
# Start a web server.
doccano webserver --port 8000

In another terminal, run the following command:

# Start the task queue to handle file upload/download.
doccano task

Go to


As a one-time setup, create a Docker container as follows:

docker pull doccano/doccano
docker container create --name doccano \
  -e "ADMIN_USERNAME=admin" \
  -e "[email protected]" \
  -e "ADMIN_PASSWORD=password" \
  -v doccano-db:/data \
  -p 8000:8000 doccano/doccano

Next, start doccano by running the container:

docker container start doccano

Go to

To stop the container, run docker container stop doccano -t 5. All data created in the container will persist across restarts.

If you want to use the latest features, please specify nightly tag:

docker pull doccano/doccano:nightly

Docker Compose

You need to install Git and to clone the repository:

git clone https://github.com/doccano/doccano.git
cd doccano

Note for Windows developers: Be sure to configure git to correctly handle line endings or you may encounter status code 127 errors while running the services in future steps. Running with the git config options below will ensure your git directory correctly handles line endings.

git clone https://github.com/doccano/doccano.git --config core.autocrlf=input

Then, create an .env file with variables in the following format (see ./docker/.env.example):

# platform settings
[email protected]

# rabbit mq settings

# database settings

After running the following command, access

docker-compose -f docker/docker-compose.prod.yml --env-file .env up

One-click Deployment

Service Button
AWS[1] AWS CloudFormation Launch Stack SVG Button
Heroku Deploy
<!-- GCP[2]

[1]: (1) EC2 KeyPair cannot be created automatically, so make sure you have an existing EC2 KeyPair in one region. Or create one yourself. (2) If you want to access doccano via HTTPS in AWS, here is an instruction. <!-- > [2]: Although this is a very cheap option, it is only suitable for very small teams (up to 80 concurrent requests). Read more on Cloud Run docs. -->


See the documentation for details.


As with any software, doccano is under continuous development. If you have requests for features, please file an issue describing your request. Also, if you want to see work towards a specific feature, feel free to contribute by working towards it. The standard procedure is to fork the repository, add a feature, fix a bug, then file a pull request that your changes are to be merged into the main repository and included in the next release.

Here are some tips might be helpful. How to Contribute to Doccano Project


  title={{doccano}: Text Annotation Tool for Human},
  note={Software available from https://github.com/doccano/doccano},
    Hiroki Nakayama and
    Takahiro Kubo and
    Junya Kamura and
    Yasufumi Taniguchi and
    Xu Liang},


For help and feedback, please feel free to contact the author.