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Data labeling

UBIAI ✓

Accessible AI for smarter document processing

1.4k views 7 saves Freemium
API Data Labeling Natural Language Processing
More categories (4)
NLP ML Projects Training Data Data labeling
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Free + from $74/mo

Verdict

A quick read before you dig into the full page.

Best if
Accessible AI for smarter document processing
Skip if
Expensive for moderate teams
Pick this when
Document classification feature

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Overview

UBIAI Text Annotation Tool is an AI tool that aims to make natural language processing (NLP) and machine learning (ML) solutions more accessible and affordable.

It provides AI Builder, an AI engine that allows users to build intelligent document applications. The tool offers various features, including document classification, auto-labeling, multi-lingual annotation, named entity recognition (NER), and OCR annotation.

It also supports team collaboration, which can help improve data quality and workflow efficiency.UBIAI's comprehensive annotation tool can handle various types of documents, such as PDFs, images, and text.

It is particularly praised for its OCR annotation capabilities, enabling users to extract data from scanned documents and images. This feature can significantly reduce costs and operational barriers associated with unlocking data from such sources.The tool offers additional functionality, such as auto-labeling using large language models, simplifying the data labeling process and saving time and effort.

It also provides the capability to train state-of-the-art deep learning models on annotated datasets, allowing users to fine-tune their machine learning models and accelerate the training process.UBIAI's collaboration features make it suitable for teams, allowing easy assignment of tasks, progress tracking, and performance measurement.

The tool supports annotation in multiple languages and various formats, including handwritten, scanned, and digital documents.UBIAI is designed for versatile use across industries, including banking, finance, healthcare, insurance, legal, and technology.

Its features can help streamline data annotation and training processes specific to each industry's needs, ranging from semantic analysis to fraud detection and shortening diagnosis and treatment times.Overall, UBIAI Text Annotation Tool stands out for its OCR capabilities, collaboration features, and support for training deep learning models, making it a valuable tool for NLP and ML projects in a wide range of industries.

UBIAI website

Access & connections

Where you can use UBIAI, and what it plugs into.

Platforms

Web

Integrations

Make

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Image
  • Text

Output

  • API
  • Text
  • Image

Pros & cons

Pros

  • Document classification feature
  • Auto-labeling feature
  • Multi-lingual annotation feature
  • Named entity recognition (NER)
  • OCR annotation feature
  • Supports team collaboration
  • Can handle various document types
  • Supports annotation across industries
Show 44 more
  • Enables training of deep learning models
  • Easy assignment of tasks
  • Progress tracking feature
  • Performance measurement feature
  • Supports annotation in multiple languages
  • Supports handwritten, scanned, and digital documents
  • Helps streamline data annotation
  • Helps accelerate ML model training
  • Suitable for banking, finance, healthcare, insurance, legal, and technology industries
  • Can handle PDFs, images, and text documents
  • Efficient workflow efficiency
  • Can extract data from scanned documents and images
  • Assists in semantic analysis and fraud detection needs
  • Can annotate native and scanned PDFs
  • OCR coordinates for each word available
  • Supports user feedback and needs
  • Offers a discount for students/researchers
  • State-of-art deep learning models training
  • Supports data labeling with large language models
  • Supports text, image, and PDF formats in multiple languages
  • Applicable in financial, healthcare, legal, and technology industries
  • Offers model fitting or auto-annotation
  • Supports regex annotation
  • Intuitive UI
  • Can visualize healthcare machine learning
  • Supports semantic search for legal industries
  • Training support for chatbots and virtual assistants
  • Supports training hi-tech NLP models
  • Significant discounts for researchers and students
  • Supports training of Spacy, BERT, and GPT models
  • Enables fine-tuning on annotated data
  • Enables training chatbots and virtual assistants
  • Data scientists tools support
  • Supports various export formats
  • Connects with APIs for predictions
  • Document classification support
  • Data analyst technologies compatible
  • Supports process scanned documents
  • Supports import of pre-annotated data
  • Supports secure data retention with daily snapshots
  • Supports over 20 languages
  • Offers pay as you go options
  • Allows labeling and training simultaneously
  • Designed to handle complex data

Cons

  • Limited OCR document uploads
  • No collaboration for individual plan
  • Expensive for moderate teams
  • Multilingual support unclear
  • On-premise package not detailed
  • Limited Non-OCR document uploads
  • Table extraction only in PRO
  • No apparent API support
Show 1 more
  • Unclear feature instructions

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Releases 1

Initial release January 19, 2022 Current
Initial release of UBIAI.

FAQ 12

What is UBIAI Text Annotation Tool?
UBIAI Text Annotation Tool is a tool designed to make natural language processing (NLP) and machine learning (ML) solutions more accessible and affordable. Utilizing an AI engine called AI Builder, it allows for the construction of intelligent document applications. The tool supports features including document classification, auto-labeling, multi-lingual annotation, named entity recognition (NER), and OCR annotation.
How does the UBIAI's AI Builder function?
UBIAI's AI Builder is an AI engine that enables users to build smart applications for document handling. It offers capabilities for document classification and auto-labeling. It also supports training advanced deep learning models on annotated datasets, which can be used to fine-tune machine learning models and speed up the training process.
What are the core features of UBIAI?
UBIAI offers a range of core features including document classification, auto-labeling, multi-lingual annotation, named entity recognition (NER), and OCR annotation. Along with these, the tool also provides functionalities like training deep learning models, team collaboration features, task assignments, progress tracking, and performance measurement.
How can UBIAI help with document classification and auto-labeling?
UBIAI utilizes AI for document classification and auto-labeling, simplifying the process of data labeling. For document classification, it systematically categorizes documents into predetermined classes. Auto-labeling, on the other hand, uses large language models to automatically label the data, this process significantly reduces the effort and time required in manually labeling the data.
How does UBIAI support multi-lingual annotation?
UBIAI supports the annotation of documents in multiple languages. This feature of multi-lingual annotation is beneficial for global teams that work with documents in various languages. It includes support for languages like Hebrew, Japanese, Arabic, Hindi, etc. within a single document in various formats like handwritten, scanned, or digital documents.
What is Named Entity Recognition (NER) in UBIAI?
Named Entity Recognition (NER) in UBIAI is an AI feature that automatically identifies and categorizes important data elements or 'entities' from raw text into predefined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, etc. NER streamlines the extraction of specific information from massive text data sets, making data analysis more efficient and effective.
How does UBIAI's OCR annotation work?
UBIAI’s OCR (Optical Character Recognition) annotation feature allows users to extract data from scanned, handwritten and image-based documents. The OCR tool reads the text embedded in images or scanned documents and transforms it into machine-readable, editable data. This feature eliminates the barriers associated with unlocking data from non-digital sources.
What types of documents can UBIAI handle?
UBIAI can handle a variety of documents including PDFs, images, and text files. Its comprehensive annotation tool supports all these document types, which makes the tool versatile for a wide range of tasks. This handling ability, particularly with its OCR annotation capabilities, simplifies data extraction from a diverse selection of document sources.
How does UBIAI support team collaboration?
UBIAI supports team collaboration by providing features that enhance workflow efficiency and improve data quality. It allows for easy assignment of tasks, tracking progress, and measuring team performance. This capability ensures that teams can work together seamlessly, ensuring consistency in document annotation and ensuring efficient and accurate data labeling.
How does UBIAI streamline data annotation and training processes?
UBIAI streamlines the data annotation and training process by utilizing AI-powered automation functionalities such as OCR technology, auto-labeling, and document classification. These capabilities allow the tool to process large volumes of data quickly and accurately, thereby reducing the time and effort involved in training ML models and improving the overall efficiency of the data annotation and training process.
Can I use UBIAI's tool for specific industry's needs such as fraud detection?
Yes, UBIAI can be highly beneficial for specific industry needs such as fraud detection. For instance, in the financial industry, the tool's features like semantic analysis and text classification can be employed to detect fake claims and duplicate claims. By analyzing text documents and classifying text data, UBIAI can identify patterns suggestive of fraudulent activities.
How does UBIAI support training of deep learning models?
UBIAI supports the training of state-of-the-art deep learning models with the help of annotated datasets. The tool provides functionality to train these models on the annotated data, which can be conducive in finely adjusting machine learning models and accelerating the overall model training process.
UBIAI Free + from $74/mo
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