Real-time Document Processing: Didit's API & Apache NiFi
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.
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.
Apache NiFi and Didit's Data Extraction API combine to create an efficient and scalable system for real-time identity document processing and verification. Apache NiFi serves as a robust, open-source data flow management system that automates data movement between systems, offering capabilities such as document ingestion, pre-processing, and routing while ensuring data security and compliance. Didit's API, part of its comprehensive ID Verification solution, uses advanced AI to extract and validate data from a wide variety of identity documents with high accuracy, supporting over 4,000 document types across 220 countries. The integration of these tools allows for automated workflows that significantly speed up identity verification processes, reduce manual effort, and enhance compliance with KYC/AML regulations. This synergy not only addresses the challenge of processing diverse identity documents quickly and securely but also ensures flexibility and customization to meet specific business needs, making it a valuable solution for organizations in the fast-paced digital economy.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 9 | 13,979 | 3,441 | 296 | +113% |
| Data Pipeline | 1 | 1,290 | 393 | 99 | +171% |
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