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.

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UBIAI was manually vetted by our editorial team and was first featured on July 4th 2023.

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Pros and 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

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

Unclear feature instructions

Q&A

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.

What are the special features of UBIAI for Natural Language Processing (NLP) and Machine Learning (ML) projects?

UBIAI Text Annotation Tool is specifically designed for NLP and ML projects. The tool provides features like document classification, OCR annotation, auto-labeling, and multi-lingual annotation. Its AI Builder allows for building intelligent document applications. It also facilitates the training of deep learning models on annotated datasets and simplifies the data labeling process with auto-labeling using large language models.

What is the role of UBIAI's large language models in data labeling process?

UBIAI leverages large language models in the process of data labeling to provide efficient auto-labeling. By understanding the language context and features of the provided data, these models can generate automatic labels. This leads to a reduction in human effort and saves considerable time and money that would otherwise be spent on manually labeling data.

How does UBIAI leverage OCR for unlocking data in various documents?

Through its OCR capabilities, UBIAI is able to unlock data from scanned documents and images. OCR technology identifies and extracts text from these non-digital sources, converts it into machine-readable format, enabling users to process and analyze data which would normally be locked in static image or document formats.

Can I use UBIAI's tool for tasks progress tracking and performance measurement?

The UBIAI tool provides team collaboration features that allow for easy assignment of tasks, tracking of annotation progress, and performance measurement metrics. This helps in ensuring consistent and efficient collaboration within the team, improving data quality by identifying bias and conflicts in annotated datasets.

Does UBIAI provide annotation in multiple languages and various formats?

UBIAI has an inclusive feature of annotating in multiple languages, and it supports various document formats, whether handwritten, scanned, or digital. You can annotate documents in several languages including Hebrew, Japanese, Arabic, Hindi, etc. within the same document regardless of its format.

How does UBIAI's tool apply to industries such as healthcare and banking?

UBIAI is designed to cater to needs across industries like healthcare, banking, finance, insurance, legal, and technology. Features like semantic analysis can be applied for detecting fraud in banking while in healthcare, the tool can shorten diagnosis and treatment times. In essence, it streamlines data annotation and training processes specific to an industry's needs, making it highly versatile and applicable across different domains.

How am I able to fine-tune my machine learning models with UBIAI?

UBIAI allows users to fine-tune their machine learning models using its platform. Once the datasets are annotated, users can train state-of-the-art deep learning models on these datasets with a few clicks, saving up to 80% of the annotation time. This accelerates the model training process and ensures improved model performance.

What are the pricing tiers of UBIAI?

UBIAI offers four different pricing plans: 1) Individual - $99/Month, includes unlimited annotations, 500 OCR and 1k non-OCR document uploads for one user without collaboration and analytics. 2) Team - $299/Month, includes unlimited annotations, 1k OCR, and 10k non-OCR document uploads for up to 5 users with collaboration & analytics. 3) Team Pro - $599/Month, includes 10k document uploads, 40k non-OCR document uploads for up to 10 users with model assisted labeling, shared account and table extraction. 4) Enterprise - Price per quote, includes unlimited document uploads for unlimited users with model assisted labeling, shared account, and table extraction.