Proof of Address: Utility Bill OCR for Global Markets

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

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Utility Bill OCR uses AI and optical character recognition to automate Proof of Address verification, helping businesses meet KYC and AML requirements, prevent fraud, and improve customer onboarding across global markets with varied languages, document formats, and address conventions. Compared with manual document review, automated systems can extract and standardize information from utility bills, bank statements, and government documents; assess document type, authenticity, possible tampering, issue dates, addresses, and name matches; and automatically approve, decline, or escalate cases according to configured risk rules. The approach is presented as improving accuracy, scalability, compliance, fraud detection, operational costs, and customer experience. Didit positions its modular, developer-focused PoA platform as providing intelligent document capture, multi-page support, OCR extraction, validation, geocoding, language detection, configurable workflows, API and webhook integrations, and pricing features including a free core KYC tier and pay-per-successful-check model.

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