This overview explains how OpenText Functional Testing uses AI, machine learning, OCR, and image-based automation to accelerate test creation, reduce maintenance effort, and improve test coverage. Features include advanced object recognition, natural language test scripting, mockup-based early test design, AI-based recording, and intelligent assistants for converting legacy steps. Additional capabilities include regression detection, visual checkpoints, text extraction, and synthetic data creation. These tools enhance speed, accuracy, and platform-agnostic resiliency, ensuring higher software quality while reducing development cycle time and testing costs.

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