Brat

Visit Tool

brat is an open-source rapid annotation tool for text, supporting various textual annotation tasks. It's designed for natural language processing research and development, offering features for named entity recognition and relation extraction.

Claim this tool

2Views

At a glance

Pricing

free

Free tier

Yes

API

—

Skill level

Technical

About

What is brat?

brat is an open-source tool specifically designed for rapid text annotation. It facilitates a wide range of textual annotation tasks, making it particularly useful for natural language processing (NLP) research and development. Key functionalities include named entity recognition (NER) and relation extraction, enabling users to efficiently label and structure textual data for machine learning models and linguistic analysis. Its open-source nature suggests flexibility and community-driven development.

Best used for

Annotating text data for natural language processing research and development, particularly for named entity recognition and relation extraction.

Common actions

Annotate text data

Prepare NLP datasets

Perform named entity recognition

Extract relations from text

Develop NLP models

github copilot"AI Agents"open-sourceworkflowsface swappingdeepfakecollaborationautomated workflowlow-code/no-code

Capabilities

Key features

Rapid text annotation
Open-source
Named entity recognition
Relation extraction
NLP research

Target Audience

NLP ResearchersData ScientistsLinguistsMachine Learning Engineers

Integrations

Not yet documented

Pricing & Plans

free

Free

FAQs

Is brat truly free, or are there hidden costs or premium features?

brat is genuinely free and open-source. There are no hidden costs, premium features, or subscription plans. All functionalities, including rapid text annotation, NER, and relation extraction, are available without charge.

What are the typical system requirements to run brat, and is it difficult to set up?

brat is a web-based tool, typically requiring a web server (like Apache or Nginx) and Python. While not overly complex, some technical proficiency in server setup and Python environments is beneficial for installation and configuration, especially for multi-user deployments.

Can brat be integrated with other NLP tools or machine learning pipelines?

Yes, brat is designed to be flexible. Its output format (typically standoff format) can be easily parsed and integrated into various NLP pipelines and machine learning models. Users often export annotations for training custom NER or relation extraction models.

Trending

Subcategories trending in Data & Analytics

Business Intelligence Predictive Analytics Real-Time Analytics Market Research Data Cleaning & Prep Data Pipelines & Integration

Trending

Also listed in

This tool also appears in

Research & Education › Academic Research AI Agents & Automation › RAG & Document AI

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce