Python + gRPC: High-Performance Identity Verification APIs
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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gRPC, an open-source high-performance RPC framework developed by Google, provides significant advantages over traditional REST APIs for identity verification by utilizing HTTP/2, Protocol Buffers, and efficient serialization to enhance speed and reliability. This makes it particularly suitable for scenarios requiring real-time identity checks and fraud prevention, such as liveness detection and rapid document processing. Didit leverages gRPC within its AI-native identity verification platform, offering a developer-first experience with modular architecture, enabling businesses to efficiently integrate services like ID Verification, Passive & Active Liveness, and AML Screening. By combining gRPC with Python, developers benefit from rapid development, scalability, and cross-language compatibility, crucial for maintaining user trust and operational efficiency in the digital age. This synergy ensures swift, secure, and accurate identity verification while minimizing latency, ultimately enhancing the user experience and meeting modern demands.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 14 | 13,979 | 3,441 | 296 | +113% |
| Developer Experience | 1 | 963 | 451 | 130 | +91% |
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