--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Azure Vision Liveness Detect" developer_entity: "Microsoft Corporation" bundle_id: "com.microsoft.azurevisionliveness" app_store_id: "6677005069" category: "Developer Tools" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-03-12" report_date: "2026-05-19" last_verified: "2026-05-19T13:30:28.087Z" report_version: "1.4.7" total_reviews: 6 overall_rating: 3.67 confidence: "low" confidence_score: 0.2 data_age_days: 43 momentum_velocity: "active" intelligence_version: 2 tags: ["developer tools", "free", "mobile app", "app review", "app analysis", "developers,", "security", "professionals,"] canonical_url: "https://marlvel.ai/intel-report/developer-tools/com-microsoft-azurevisionliveness" license: "CC-BY-NC 4.0" content_version: "v2" --- # Azure Vision Liveness Detect App Audit ## TL;DR {#tldr} - **Category**: Developer Tools · Free - **Signal**: Rating 3.67 > **TL;DR:** Azure Vision Liveness Detect is a developer tools app by Microsoft Corporation, rated 3.67/5 by 6 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Azure Vision Liveness Detect is a developer tools app by Microsoft Corporation. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3.67/5 (6 reviews) | | **Category** | Developer Tools | | **Developer** | Microsoft Corporation | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Microsoft Corporation - **Category:** Developer Tools - **Target Audience:** Developers, security professionals, and organizations evaluating Microsoft Azure's face verification technology for integration. - **Platforms:** iOS & Android - **Version Audited:** 1.4.7 - **Audit Date:** 2026-05-19 - **Signal Count:** 2 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6677005069 - **Bundle ID:** com.microsoft.azurevisionliveness - **Google Play ID:** com.microsoft.azurevisionliveness - **Data Window:** Analysis based on signals collected up to 2026-05-19 ## Executive Snapshot Azure Vision Liveness Detect is a utility tool developed by Microsoft to facilitate functional testing of the Azure Vision Face Liveness Detection and Verification feature. It enables users to evaluate the performance and reliability of face verification technology across various environmental conditions and configurations. The app serves as a sandbox for validating security and performance before full-scale integration. ## App DNA (Features & Intent) - **[Standard] Face Liveness Detection Testing:** Provides a dedicated environment to perform functional tests on Azure Vision's liveness detection capabilities. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Verification Assessment:** Allows users to evaluate the accuracy and performance of face verification processes. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Environmental Configuration Testing:** Enables assessment of how the technology performs under diverse conditions and specific environmental setups. ## Monetization Strategy - **Model:** Free ## App Momentum (Active) {#momentum} Last updated 67d ago. 5 versions tracked. > **Cadence:** 5 total versions · 0 majors in last 6 months · 67 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Azure Vision Liveness Detect is an established developer tools app that is completely free. With a 3.67/5 rating from 6 reviews, it shows polarized user reception. > **Bottom Line:** This is a specialized testing tool for developers to validate the functional performance of Azure's face verification features prior to deployment. **Best for:** Developers, security professionals, and organizations evaluating Microsoft Azure's face verification technology for integration. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3.67/5 | | Total Reviews | 6 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Azure Vision Liveness Detect** (this app) | 3.67/5 | N/A | Microsoft Corporation | | [Dispatch – AI Command Runner](https://marlvel.ai/intel-report/developer-tools/com-s-kawano-dispatchaicommandrunner) | N/A/5 | N/A | Seiya.k | | [Appboard: Global App Rankings](https://marlvel.ai/intel-report/developer-tools/app-efo-appboard) | 3.9/5 | N/A | Dongchan Son | | [Learn Python (Step By Step)](https://marlvel.ai/intel-report/developer-tools/learn-python-step-by-step) | 4.1/5 | N/A | Paulo Narra | | [Proxycat](https://marlvel.ai/intel-report/developer-tools/proxycat) | 5.0/5 | N/A | Byte Crossing | | [[3D] Preview](https://marlvel.ai/intel-report/developer-tools/3d-preview) | 3.0/5 | N/A | designmatic | ## Company Profile - **Developer:** Microsoft Corporation - **Website:** [https://learn.microsoft.com/azure/ai-services/computer-vision/concept-face-liveness-detection](https://learn.microsoft.com/azure/ai-services/computer-vision/concept-face-liveness-detection) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/gr/app/azure-vision-liveness-detect/id6677005069?uo=2) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.microsoft.azurevisionliveness&hl=en&gl=gr) - **Dev Site:** [Official Website](https://learn.microsoft.com/azure/ai-services/computer-vision/concept-face-liveness-detection) - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*Dispatch – AI Command Runner*](https://marlvel.ai/intel-report/developer-tools/com-s-kawano-dispatchaicommandrunner) (Seiya.k) — N/A Rating | N/A Sentiment - [*Appboard: Global App Rankings*](https://marlvel.ai/intel-report/developer-tools/app-efo-appboard) (Dongchan Son) — 3.9/5 Rating | N/A Sentiment - [*Learn Python (Step By Step)*](https://marlvel.ai/intel-report/developer-tools/learn-python-step-by-step) (Paulo Narra) — 4.1/5 Rating | N/A Sentiment - [*Proxycat*](https://marlvel.ai/intel-report/developer-tools/proxycat) (Byte Crossing) — 5.0/5 Rating | N/A Sentiment - [*[3D] Preview*](https://marlvel.ai/intel-report/developer-tools/3d-preview) (designmatic) — 3.0/5 Rating | N/A Sentiment - [*JSON Tools*](https://marlvel.ai/intel-report/developer-tools/com-omgfoss-devutils) (Mohammed Aadhil) — N/A Rating | N/A Sentiment - [*Mermaid Editor - MMChart Live*](https://marlvel.ai/intel-report/developer-tools/org-termuxstudio-mermaid) (TERMUX LIMITED LIABILITY COMPANY) — 4.7/5 Rating | N/A Sentiment - [*Agentfy: AI Agent Monitor*](https://marlvel.ai/intel-report/developer-tools/com-ibrillantes-agentfy) (Ian Brillantes) — 5.0/5 Rating | N/A Sentiment - [*PyPocket Pro*](https://marlvel.ai/intel-report/developer-tools/pypocket-pro) (Dor Pascal) — N/A Rating | N/A Sentiment - [*Picai - Photo*](https://marlvel.ai/intel-report/developer-tools/com-picaibgrep-ios) (Kunming Dianhao Technology Co., Ltd.) — 4.7/5 Rating | N/A Sentiment ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** — Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** — Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** — Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction and evidence quoting. 4. **Competitive Landscape Analysis** — Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** — Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 2 - **Data Sources:** user reviews, App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/developer-tools/com-microsoft-azurevisionliveness) Data licensed for AI Agent attribution under CC-BY-NC 4.0.