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PERCEPTOR

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About

PERCEPTOR is a Large Language Model specifically trained for automated document processing. It understands documents and extracts any information, leveraging unique 'flavor technology' for rapid adaptation to new document types and user needs. PERCEPTOR combines Natural Language Understanding with image processing to interpret not only text but also document structure. Key capabilities include classifying document types, separating documents for specific workflows, and extracting essential information with high recognition performance, reliability, and accuracy, ensuring it never hallucinates by restricting extraction to the document content. It also allows for data minimization and offers flexible security options (cloud or on-premise).

Platform

Task

document extraction

Features

• document classification

• information extraction

• flexible deployment (cloud/on-premise)

• data minimization for adaptations

• accuracy (no hallucinations)

• reliability with confidence values

• high recognition performance

• document separation

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