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The Developer's Guide to Custom Proof of Address Workflows

Blog post from Didit

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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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Post Details
Company
Date Published
Author
Didit
Word Count
993
Company Posts That Month
Language
English
Hacker News Points
-
Post removed?
No
Summary

Proof of Address verification is a central component of KYC and AML compliance that helps organizations confirm users’ locations, prevent fraud, and streamline onboarding across sectors such as finance, real estate, gambling, and e-commerce. Effective systems must identify diverse document types, extract and structure details through OCR, assess document authenticity and quality, detect manipulation or metadata inconsistencies, compare names and addresses against supplied information, and produce decisions such as approval, decline, or review. The material presents Didit’s AI-native, modular Proof of Address API as a configurable solution that supports controls for document languages, age limits, name-match thresholds, address discrepancies, and responses to fraud-related warnings. Didit also offers structured address outputs, standalone or composable integration with identity verification and AML tools, developer resources including APIs and a sandbox, and a free core KYC and pay-per-successful-check pricing model.

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