AI Technologies > AI Features
Document Q&A
How does document Q&A work?
Document Question Answering (DQA) involves providing answers to questions based on the content of document images or text. DQA models process a pair of inputs— a document and a question— and generate responses in natural language. These models often utilize multi-modal features, integrating text, word positioning, and sometimes images. DQA can be applied in various scenarios, such as analyzing structured documents, extracting data from forms or tables, and retrieving information from invoices.
Example Use Cases for Document Q&A
Below are several examples of how document question answering can be utilized:
Customer Support Automation
DQA can be used to automatically answer customer inquiries by extracting relevant information from product manuals or support documents.
Legal Document Review
Lawyers can leverage DQA to quickly find answers to specific questions within lengthy legal documents, improving efficiency in case preparation.
Financial Report Analysis
DQA can assist analysts in retrieving key financial metrics and insights from complex financial reports, enhancing decision-making processes.
Healthcare Information Retrieval
Medical professionals can use DQA to extract patient information and treatment details from clinical documents, facilitating better patient care.
Form Processing
DQA can streamline the extraction of information from forms by answering questions related to specific fields, improving data accuracy and processing speed.
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