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Maximize Document Coverage for Better KYC

Blog post from Didit

Aggregate trend data notice

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
838
Company Posts That Month
Language
English
Hacker News Points
-
Post removed?
No
Summary

Effective KYC depends on broad, reliable document coverage, as limited support can increase manual reviews, customer friction, fraud exposure, and lost revenue amid a global landscape of more than 1,000 document types across nearly 200 countries. Organizations can improve coverage by prioritizing documents used most often by their customer base, analyzing submission and verification failures to identify gaps, adopting AI-powered verification for data extraction and fraud detection, and continuously updating systems as document formats and fraud methods evolve. Optimized coverage can reduce labor costs, improve onboarding conversion, strengthen compliance, and limit fraud losses; the text estimates that a business handling 10,000 monthly verifications could save $10,000 to $40,000 per month if it lowers manual reviews by 20%. Didit presents its platform as a solution, offering support for more than 14,000 document types from over 220 countries, multilingual OCR, tamper detection, NFC chip reading, continuous updates, and APIs and SDKs under a pay-as-you-go pricing model.

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