Didit vs HyperVerge Identity Verification
Didit
didit.me
HyperVerge Identity Verification
hyperverge.coSide by side
| Figure | Didit | HyperVerge Identity Verification |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | Yes | Yes |
| Android | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 12 |
| Spec score · KYC Software | 9.4 (#1) | 9.0 (#2) |
| AML screening | AML screening checks more than 1,300 sanctions, PEP and adverse-media lists, with ongoing monitoring available per user per year. | AML checks screen against sanctions, politically exposed persons and adverse-media lists. |
| Documentation depth | The documentation index includes quickstarts, API reference, SDK integration, workflows, case management, entities, security, audit logs, data retention and changelog sections. | The iOS SDK repository includes integration instructions, CocoaPods setup, configuration, callbacks, a changelog and troubleshooting material. |
| Funding news | On May 26, 2026, Didit announced an additional $6 million seed round, bringing total seed funding to $7.5 million, backed by Y Combinator and other investors. | A 2015 press release reported $1 million in seed funding from NEA, Milliways Ventures and Naya Ventures. |
| Headquarters | San Francisco, United States | Bengaluru, Karnataka, India |
| Integrations | Official pages list Zapier, Shopify and Salesforce integrations plus no-code verification links and QR-code flows. | The integrations marketplace advertises more than 100 category-specific integrations, including Aadhaar, voter-ID, passport OCR and government KYC-record services. |
| Rating on G2 | 4.8 out of 5 from 33 reviews | 4.7 out of 5 from 56 reviews. |
| Rating on GetApp | 5.0 out of 5 from 10 reviews | 4.5 out of 5 from 6 reviews. |
| Self-hosting | The official MCP repository says its server can be self-hosted with Docker or Node, while the verification service itself is hosted by Didit. | The terms describe a provider-operated shared platform and do not grant customers ownership or self-hosting rights. |
| What it does | Didit provides identity and fraud infrastructure for KYC, KYB, AML, biometrics, transaction monitoring and wallet screening through workflows, APIs and no-code links. | HyperVerge provides AI identity verification, KYC, KYB, AML screening and fraud-prevention services for customer onboarding. |
Plans
HyperVerge Identity Verification
- AWS usage-based Advanced Face Fraud Checks$0.04, paid once
- AWS usage-based Document Quality Checks$0.04, paid once
- AWS usage-based ID Forgery Checks$0.04, paid once
- AWS usage-based Video KYC$0.07, paid once
- AWS usage-based 1:N Face Dedupe$0.12, paid once
- AWS usage-based Face Match$0.20, paid once
- AWS usage-based Liveness Check$0.20, paid once
- AWS usage-based ID Card OCR$0.42, paid once
- EnterprisePriced on request
- GrowPriced on request
In their own words
HyperVerge Identity Verification
HyperVerge Identity Verification checks identities as organizations onboard users around the world. Its KYC suite extracts information from identity documents and can run document, database, biometric, fraud, image-quality, and AML checks. A passive liveness check assesses a selfie from a single image, without requiring gestures or video. Customers can configure verification workflows, including through a no-code feature. Integration options include plug-and-play APIs and frontend SDKs for Android, iOS, React Native, Flutter, and web. The marketplace lists integrations such as DigiLocker credentials, Aadhaar Card OCR, and Voter ID OCR. HyperVerge states that it has ISO 27001:2013 and SOC 2 Type 2 certifications, and uses encryption and firewalls to protect user data. Its Start, Grow, and Enterprise plans are aimed at start-ups, mid-size companies, and enterprise organizations. Prices are not displayed; Enterprise has a custom price structure. Start includes a one-month free sandbox trial, while Enterprise lists dedicated support. The company timeline traces its beginnings to 2014 and the Computer Vision Group at IIT Madras.