The Artificial Intelligence Vision Extract block enables automated data extraction from images using AI, allowing testers to retrieve relevant information without manual inspection.
It supports extracting text, numbers, or visual elements from uploaded or referenced images, making it highly valuable in scenarios involving OCR, validation of image-based workflows, or automation testing across UI components.
Notes:
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The screenshot on this page uses the Elegance Design, introduced in 2025.3. If you are using an earlier version, your layout may look different.
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To use this block, cloud blocks must be activated for your tenant in the add-ons section of Customer Portal. Make sure this is enabled before adding the block to your flows.
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AI accuracy is not guaranteed, as it relies on probabilities and the daily performance of OpenAI’s technology. Occasional inaccuracies may occur due to inherent limitations of the technology. For more details, please refer to OpenAI’s documentation.
Quick-start
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Drag AI Vision Extract onto the canvas.
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Choose a Source type (Image File or Local Path).
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Provide the image input either by upload or via file path.
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Enter an Action Prompt describing what information to extract (e.g., invoice number, product label, expiry date).
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Use Add field to extract to create one field for each item you want to capture.
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Connect the green input and output connectors.
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Run the flow when it’s ready.
Building block parameters
Resources
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Description |
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Common questions about creating, running, and managing flows in Leapwork. |
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Guidelines and solutions for identifying and fixing issues that occur when building or running flows in Leapwork. |
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Customer portal section to activate your cloud blocks. |
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Common guidelines for prompting, generating, validating, extracting, and transforming AI-driven test data in Leapwork’s AI Blocks. |