Microprint Analysis: Stopping ID Fraud
Blog post from Didit
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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Microprint analysis examines extremely small text or patterns, often under 0.1 mm high, embedded in documents such as passports, IDs, banknotes, and packaging to deter counterfeiting and verify authenticity. Because conventional printers and copiers generally cannot reproduce fine details accurately, counterfeit microprint often appears blurred, broken, inconsistently spaced, or illegible, whereas genuine microprint is sharp and uniform. Its production depends on high-resolution printing methods, specialized inks, suitable document surfaces, complex fonts, and strategic placement within backgrounds or borders. Detection may involve loupes, microscopes, UV light, image-analysis software, spectral analysis, and trained examiners, with automated systems helping identify subtle anomalies. Microprint is typically combined with features such as holograms, watermarks, security threads, UV elements, and biometric data as part of a layered anti-fraud strategy, while Didit promotes an AI-based platform that automates microprint and document authenticity analysis for identity verification.
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