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
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

Experience seamless audio labeling like never before

Easy-to-use audio labeling tool made to seamlessly annotate your audio content.
Match audio to transcript and label them in one go
Enhance transcript by including additional information such as timestamps, speakers, message types, and more to achieve greater accuracy in labeling.
Example use cases:
Speech Transcription
Speaker Diarization
Add informative context within the transcript for better labeling
Enhance transcript by including additional information such as timestamps, speakers, message types, and more to achieve greater accuracy in labeling.
Example use case:
Emotion Recognition
Handy control panel to enhance the labeling experience
Play, pause, rewind, fast forward, adjust the volume, and change the audio speed to suit your needs.

Build LLMs tailored to your needs

Craft and Evaluate your LLM from scratch
Feed your LLM with specific domain context
By providing context within your LLM that is specific to your area of knowledge, it can generate completions that are more relevant and accurate.
Example use case:
Automated customer support
Build, test, and iterate your LLM any time
Adjust your prompt template and parameters, test several existing models, deploy your LLM, and access your model via API endpoints.
Example use case:
Chatbots and virtual assistants
Rate and evaluate the responses to your prompts to align with your preference
With LLM Evaluation, you can rate and fine-tune completion for various prompts using a 5-star rating system. This process allows you to evaluate your LLM performance, rephrase the completions, and use the data to customize your LLM tone of voice.
Example use case:
Content generation
Enhance the results by ranking answer options for a prompt
With LLM Ranking, you can arrange the provided completions for a prompt based on your preferences. This process helps the model identify the best answers and enhance the quality of responses.
Example use case:
Question answering
Wondering how we can support your use case?
Contact us or schedule a scoping session with our sales and see how Datasaur can be applied to your labeling projects.
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