Dynamic Fallbacks for Utility Bill OCR in Challenging Markets

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In the context of global expansion and compliance with Know Your Customer (KYC) and anti-money laundering (AML) regulations, businesses face significant challenges in verifying Proof of Address (PoA), particularly in diverse and complex markets. Utility bills, often used for PoA, present difficulties for traditional Optical Character Recognition (OCR) due to their varied formats, inconsistent quality, and regional differences. To address these challenges, a multi-layered verification approach is recommended, combining OCR with additional methods such as manual review, alternative document submissions, and database validation. Didit, an AI-native identity platform, offers a robust solution by automating document classification and data extraction, enhancing user experience with real-time feedback and multilingual support, and enabling dynamic fallbacks when OCR confidence is low. This approach not only ensures high verification success rates but also expands market reach by allowing businesses to effectively onboard legitimate users.

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