brightgems / doccano


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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


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


Two options to run doccano:

  • production,
  • development.

To use doccano, please follow:

Install dependencies

You need to install dependencies:

Get the code

You need to clone the repository:

$ git clone
$ 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 --config core.autocrlf=input


Set the superuser account credentials in the file:

ADMIN_PASSWORD: "password"

Run doccano:

$ docker-compose -f up

Go to


Set the superuser account credentials in the file:

ADMIN_PASSWORD: "password"

Run Doccano:

$ docker-compose -f up

Go to

Add annotators (optionally)

If you want to add annotators/annotation approvers, see Frequently Asked Questions

One-click Deployment

Service Button
AWS1 AWS CloudFormation Launch Stack SVG Button
Azure Deploy to Azure
GCP2 GCP Cloud Run PNG Button
Heroku Deploy


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},
    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.


  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.



License:MIT License


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