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Introduction: Markup is an open-source annotation tool designed to convert unstructured documents into structured formats for NLP and machine learning tasks, including named-entity recognition. By learning from your annotations, Markup predicts and suggests complex labels to streamline the creation of structured datasets from free-text. The tool is powered by GPT-4.

Markup Product Information

What is Markup?

Markup is an open-source annotation tool used to transform unstructured documents into structured formats for NLP and machine learning tasks, such as named-entity recognition. The tool learns from your input to predict and suggest complex annotations, helping you build structured datasets from free-text efficiently. It is powered by GPT-4.

How to use Markup?

Ensure JavaScript is enabled in your browser to run the application. Begin by reviewing the documentation, then sign in or create an account to start annotating text and generating structured data.

Markup's Core Features

  • Transforms unstructured documents into structured formats
  • Supports NLP and ML tasks like named-entity recognition
  • Learns as you annotate to predict and suggest annotations
  • Powered by GPT-4

Markup Use Cases

#1 Named-entity recognition
#2 Building structured datasets from free-text

FAQ from Markup

What is Markup? +

Markup is an open-source annotation tool designed to transform unstructured documents into structured formats suitable for NLP and machine learning tasks.

What can Markup be used for? +

Markup is used for tasks such as named-entity recognition and the creation of structured datasets from free-text documents.

Markup Pricing

Free

$0

Free plan available.

Related Model Comparison Pages

Use these comparison pages to understand the trade-offs between the models most relevant to Markup.

Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

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