
Overall Score
11
of AI companies
by UBIAI🇺🇸
UBIAI Text Annotation Tool is an AI tool that aims to make natural language processing (NLP) and machine learning (ML) solutions more access
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, includ...

Overall Score
11
of AI companies
Overall Score
11
GitHub Stars
2
Monthly Visits
9K
Community Saves
787
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, includ...
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Last GitHub push
GitHub repo created
| Keyword | Volume / Mo | CPC |
|---|---|---|
| data augmentation | 8,590 | $17.28 |
| data annotation | 459,490 | $2.20 |
| layoutlmv3 | 2,060 | $1.47 |
| ned nlp | 50 | — |
| what is sampling bias in ai? | 490 | — |
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, includ...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Last GitHub push
GitHub repo created
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
| Keyword | Volume / Mo | CPC |
|---|---|---|
| data augmentation | 8,590 | $17.28 |
| data annotation | 459,490 | $2.20 |
| layoutlmv3 | 2,060 | $1.47 |
| ned nlp | 50 | — |
| what is sampling bias in ai? | 490 | — |
Saves
787
Rating
—
Views
—
Category
Data labeling
Pros · 52
Cons · 9
Rating distribution
Release history · 1+
Initial release of UBIAI.
Q&A · 22
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.
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.
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.
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.
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.
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Top 10 in Data labeling.
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