Complex span labeling tasks made easy

Label conversations, essays, or any text-based documents rapidly with customizable automation.

Draw and label relational arrows

Easily illustrate connections between entities in your NLP projects using our relational arrow drawing feature.

Example use cases:

Coreference Resolution

Dependency Parsing

Search for keywords and bulk label your data

Efficiently label large volumes of data in a single action using our bulk labeling feature.

Example use cases:

Entity Disambiguation

Entity Linking

Streamline your workflow with intelligent automation

Call your labeling model through an API or create functions to perform bulk labeling using our advanced labeling features: Data Programming, Datasaur Dinamic, and ML-assisted Labeling.

Example use cases:

Entity Recognition

Part of Speech

Support left-to-right and right-to-left languages

Seamlessly label both left-to-right and right-to-left languages, ensuring convenience for users across diverse linguistic backgrounds.

Experience hassle free labeling for your row-based data

Label your data rows with our advanced and easy-to-use labeling tool.

Apply answers to multiple rows at once

Notice some patterns in your dataset? Accelerate the pace of your labeling process by applying the same answer to multiple rows at once.

Example use cases:

Fake News Detection

Topic Categorization

Classify data efficiently with question logics

With a dynamic question set, you can establish question logic for follow-up questions, displaying them only under specific conditions based on the labeler's answers.

Example use case:

Content Moderation

Streamline your workflow with intelligent automation

Call your labeling model through an API or create functions to perform bulk labeling using our advanced labeling features: Data Programming, Datasaur Dinamic, Datasaur Predictive Labeling, and ML-assisted Labeling.

Example use case:

Sentiment Analysis

Customizable viewer based on your data

Customize how you view your data to suit your preferences. You can opt for either the tabular or URL view and decide how much data you want to see at once.

Example use cases:

URL Classification (tabular)

URL Classification (URL)

Elevate your document labeling process

Annotate media and document files seamlessly with advanced OCR and classification methods.

Label objects directly on your images or PDFs

Highlight specific regions or items of interest in your files by drawing bounding boxes, labeling them, and adding captions.

Example use cases:

Object Detection

Image Captioning

Classify data efficiently with question logics

With a dynamic question set, you can establish question logic for follow-up questions, displaying them only under specific conditions based on the labeler's answers.

Example use case:

Image Classification

Auto generate captions to speed up labeling process

Accelerate your labeling process with automated caption generation, effortlessly adding text to each drawn bounding box. You can freely edit or remove any mistakes as needed afterward.

Example use case:

Document Extraction

Label existing transcripts easily with an adjustable side-by-side viewer

No need to go back and forth between your file and the transcript to label it. This viewer allows you to conveniently compare and work on both simultaneously. You can show and hide it whenever necessary.

Example use case:

Optical Character Recognition