Text Annotation | SuperAnnotate

Text annotation use cases

Enhance financial operations efficiency, ensure smooth regulatory compliance, and advanced analytics.

Better accessibility to digital documents

Identification of potentially fraudulent activities

Draw analytics from volumes of data

Identify errors in bank statements, reports, and agreements. Extract any data in a snap.

Detection of fraud and money laundering

Extraction of loan rates and credit scores

Compliance monitoring

Easily find diseases, investigations, and drugs in medical records, literature, and other health information texts.

Document classification for ease of research

Data extraction from clinical trial records

Recognition of policyholder information

Train models to spot the target information in media outlets and ad visuals faster.

Fake news detection based on NLP annotations

Popular name recognition and relationship detection

Brand identification in marketing and advertising

Achieve greater performance by classifying documents for faster access and intuitive categorization.

Recognize common or custom entities within a text body in a fraction of time.

Extract information from unstructured text, PDF, tables, and other documents with ease.

Effectively detect sentiments at the level of words, sentences, paragraphs, and documents. Every nuance matters.

Annotate collections of question-answer pairs to build an intelligent chatbot system and provide real-time answers.

Understand text inputs and automatically translate them into languages of interest.