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Doccano

Open Source
Data Annotation and Synthesis Updated Feb 15, 2026
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Compared with 12 other Data Annotation and Synthesis agents Open source Self-hostable Updated Feb 2026
💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Free to use as it is open-source software.

🎯 Use Cases

Preparing training data for sentiment analysis models Labeling datasets for named entity recognition (NER) tasks Collaborative annotation projects for machine translation Creating custom-labeled datasets for text classification

⚖️ Pros & Cons

✅ Pros

  • User-friendly interface for annotation tasks
  • Supports multiple annotation types including sequence labeling and text classification
  • Self-hostable, providing control over data privacy and security

❌ Cons

  • Requires technical knowledge to deploy and maintain self-hosted instances
  • Limited built-in automation features compared to some commercial tools

Overview

Doccano is an open-source text annotation tool designed to assist in creating labeled data for machine learning tasks. It supports various annotation types including sentiment analysis, named entity recognition, and text classification, enabling efficient collaboration among annotators.

Problem It Solves

It simplifies the process of manually labeling datasets, which is often time-consuming and error-prone, by providing a user-friendly interface for collaborative annotation.

Target Audience: Developers and teams working with data annotation and synthesis automation.

Inputs

  • • User configuration
  • • API credentials (if required)
  • • Task parameters

Outputs

  • • Automated task results
  • • Status reports
  • • Generated content or actions

Example Workflow

  1. 1 User configures the agent with required parameters
  2. 2 Agent receives input data or trigger
  3. 3 Agent processes the request using its core logic
  4. 4 Agent interacts with external services if needed
  5. 5 Results are returned to the user

Sample System Prompt 


              You are Doccano, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?
Yes
Can this agent be self-hosted?
Yes
What skill level is required?
Intermediate

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