An advanced deep learning SDK for check recognition, offering industry‑leading CAR/LAR and MICR accuracy. Enables real‑time deposit approvals with reduced manual verification, lowering operational costs while improving processing speed, accuracy, and fraud detection for financial institutions and payment processors.

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CheckUsability combines image quality and usability analysis for financial documents. Uses artificial intelligence and machine learning to detect low-quality images on checks and Image Replacement Documents (IRDs).

Its Key Benefits includes helping financial institutions meet strict image quality and usability standards. It quickly validates critical image components for both personal and business checks. 

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An AI‑driven SDK that detects altered payee names and amounts by analyzing handwriting patterns and styles. Compares against authentic samples to identify check washing attempts, providing a critical defense against one of the most common and costly forms of check fraud.

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A powerful SDK that detects counterfeit checks by verifying pre‑printed stock objects, layout relationships, and design integrity. Identifies even sophisticated forgeries, ensuring compliance, protecting assets, and reducing fraud losses for banks, credit unions, and payment processors.

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A high‑accuracy signature verification SDK supporting both American and European styles. Uses multi‑feature analysis to detect anomalies, authenticate signatures, and prevent fraud. Ideal for banking, lending, and government applications requiring reliable, automated signature validation at scale.

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