UBIAI

UBIAI is for NLP and machine-learning teams that need to create labeled datasets from text and business documents. It supports named entity recognition, relationship extraction, and document classification, so teams can mark up information such as names, dates, and links between entities or assign categories to whole documents. Annotators can work with text files as well as PDFs, scans, and images. OCR extracts text from document images while retaining layout for annotation; multilingual projects are also supported. To reduce manual labeling, teams can use model-assisted pre-annotation and review or correct the suggested labels. Collaboration tools help teams assign annotation work and check consistency across annotators. UBIAI is suited to projects that need training data for document processing or other NLP applications, including work with forms, invoices, contracts, and similar records. Annotated datasets can be exported for use in machine-learning workflows, and the platform also supports training models to help label additional data.

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