Skip to content
SPECIFICTION
Get listed

Doccano vs Label Studio

Doccano

doccano.github.io

Label Studio

labelstud.io

Side by side

FigureDoccanoLabel Studio
Price fromFree$99/mo
Free planYesYes
Free trial—Yes
Open source—Yes
WebYesYes
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published13
Spec score · Data Labeling Software8.8 (#2)9.0 (#1)
DeploymentThe repository lists one-click deployment options for AWS and Heroku, and the guide supports installation locally or in the cloud.Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda.
Founded2018HumanSignal is listed as founded in 2019.
IntegrationsThe auto-labeling guide demonstrates Amazon Comprehend Sentiment Analysis and allows users to configure a custom REST API.The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations.
PurposeDoccano is an open-source text annotation tool for machine-learning practitioners.Label Studio is an open source data labeling tool for labeling multiple data types and connecting machine learning models for predictions or active learning.
SupportThe project directs users to its FAQ and invites them to contact the author for help and feedback.Community users are directed to Slack and GitHub issues, Starter Cloud includes a dedicated support portal, and Enterprise offers priority support with response time SLAs.

Plans

Doccano

  • doccanoFree

Doccano pricing →

Label Studio

  • Community EditionFree
  • Starter Cloud$99 a month
  • EnterprisePriced on request

Label Studio pricing →

In their own words

Doccano

Doccano is a free, open-source data-labeling tool for machine-learning practitioners. Its supported annotation tasks include text classification, sequence labeling, and sequence-to-sequence annotation, with uses such as sentiment analysis, named entity recognition, and text summarization. Users can set up projects, import datasets, add collaborators, annotate examples, and export labeled data. REST APIs let scripts connect to Doccano for model-assisted labeling, and multiple people can work collaboratively. Installation options include pip, Docker, Docker Compose, source, or cloud deployment. The installation guide lists Linux, Windows, and macOS machines running Python 3.8 or later. SQLite 3 is the default database; PostgreSQL configuration is described, and MySQL is mentioned as an option. Imported datasets can be stored using Amazon S3 or Google Cloud Storage. The project also lists mobile and multi-language support, emoji support, and a dark theme. Integration guidance demonstrates Amazon Comprehend Sentiment Analysis and custom REST APIs for auto-labeling. One upgrade caveat is important: the installation guide warns that an upgrade using SQLite 3 can cause database loss.

Visit doccano.github.io

Label Studio

Label Studio is an open-source data labeling tool for text, images, audio, video, time series, and multimodal data. It provides a configurable labeling interface, project templates, data management, and annotation import and export. Custom machine-learning backends can provide predictions, while Enterprise adds automated active-learning loops. Its integrations directory spans cloud storage, foundation-model APIs, computer vision, speech and audio, machine-learning frameworks, and infrastructure. Listed storage options include Amazon S3, Google Cloud Storage, Azure Blob Storage, Databricks, Redis, and local storage. APIs, a Python SDK, and webhooks support programmatic management and integration. Deployment options include on-premises or cloud installation using pip, Docker, Ubuntu, source, or Anaconda. Security documentation describes TLS for application-component interactions, HTTPS, and secured cookies. Enterprise is described as SOC 2 and HIPAA compliant and can be deployed in the cloud or on premises, with SSO and SCIM 2.0 support. Community Edition is free. Starter Cloud costs $99 a month, with each additional user at $49 a month; Enterprise pricing is custom.

Visit labelstud.io