Didit vs Onfido: coverage, pricing, automation, and migration

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.

This company's pages remain public, but its content is excluded from normalized aggregate trends. Unfiltered raw trends and advanced filtering are available to Accelerate and Lead accounts.

Onfido, now sold as Entrust Identity Verification following Entrust’s April 2024 acquisition, offers automated document and biometric checks, configurable Workflow Studio flows, and AML capabilities including sanctions, PEP, adverse-media screening, and monitoring, while Didit positions itself as a self-service alternative with public usage pricing and combined KYC, KYB, transaction-monitoring, and wallet-screening tools. The comparison highlights Didit’s published claims of support for more than 14,000 documents in 220+ countries, a $0.33 Full KYC bundle, and 500 free monthly checks, compared with Entrust’s stated support for 2,500+ document types in 195 countries and quote-based pricing. Both vendors report strong performance metrics, but the measures differ and cannot directly establish superior approval, automation, or fraud-detection results. Organizations considering a migration are advised to assess their actual document mix, compliance controls, total cost per approved legitimate user, manual-review needs, AML requirements, and audit-data continuity, then run a controlled parallel pilot before cutting over. The discussion also situates Didit and Entrust alongside Jumio, Veriff, and Sumsub, emphasizing that published coverage and pricing figures can narrow a shortlist but that a decision should rely on tested results from the buyer’s own traffic and risk policy.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.