Document AI: extract the fields you define from any document

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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Didit’s Document AI is designed to automate extraction and verification of nonstandard documents that often delay onboarding, such as bank statements, payslips, tax certificates, corporate records, and source-of-wealth letters. Organizations can configure up to three document types per workflow, define required fields and extraction instructions, and receive typed outputs such as standardized dates and numeric values from a vision-language model that reads documents by meaning rather than fixed layout. The service performs PDF and image metadata forensics to identify potential tampering, compares extracted names with verified identity or business registry data, and supports custom rules that can approve, review, or decline cases for unreadable files, missing fields, mismatches, unsupported formats, or exhausted retries. It is available through Didit’s hosted workflows and SDK or as a standalone server-to-server API, supports PDFs and images in multiple languages, costs $0.20 per document after an allowance of 500 free monthly documents, and is positioned for lending, cryptocurrency onboarding, business verification, and regulated professional services.

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