Banuba Live AR SDK vs DeepAR for Augmented-Reality Live Streaming App

[navigation]

Augmented reality live streaming SDKs let developers add real-time face effects, beauty filters, and virtual backgrounds to streaming and video calling apps without building a computer vision pipeline from the ground up. Banuba and DeepAR both serve this space, but they diverge sharply in tracking architecture, cross-platform depth, and pricing logic. Banuba is the stronger pick for teams shipping production apps to diverse global audiences, while DeepAR suits early-stage prototypes and web-first AR campaigns at low user volumes.

TL;DR

• This comparison targets engineering leads, product managers, and CTOs evaluating AR SDKs for live streaming, social video, or conferencing products.
• We tested Banuba Face AR SDK and DeepAR SDK against six production-critical criteria: tracking stability, streaming integration, platform reach, real-device performance, pricing at scale, and vendor longevity.
• Banuba wins for teams that need stable 60 FPS on mid-range Androids, native Agora integration, first-party Flutter/React Native support, and flat-fee pricing that doesn't penalize user growth.
• DeepAR works for lightweight web AR experiments and small-scale apps where MAU-based pricing stays manageable.

How We Scored Each SDK

We evaluated both SDKs against six criteria that surface real differences in production environments, not marketing slides.

Streaming Pipeline Fit. How cleanly does the SDK plug into live video infrastructure like Agora, Amazon IVS, or WebRTC pipelines? Does integration require custom frame synchronization, or is it handled natively?

Real-Device Performance. What frame rates does the SDK hold on mid-range Android hardware? How does it manage battery drain during a 10-minute streaming session? Does tracking stability degrade during fast head movement or low lighting?

Cross-Platform Reach. Which platforms get first-party support? Are React Native and Flutter wrappers maintained by the vendor or the community? Is desktop (Windows, Linux) covered?

AR Feature Depth for Streaming. Beyond basic masks, does the SDK offer production-grade beauty filters, background replacement with video/GIF support, multi-face tracking, and gesture-triggered effects?

Cost at Scale. What happens to your bill when you go from 5,000 to 500,000 monthly active users? Is the pricing model designed for growth, or does it punish it?

Vendor Stability and Roadmap. Is the company independent? Who shapes the product roadmap? How frequently does the SDK receive updates, and is technical support backed by an SLA?

Banuba Live AR SDK

Banuba's Live AR SDK is a commercial AR engine built on patented computer vision technology. Its solution covers face tracking, beauty effects, 3D masks, virtual backgrounds, and interactive triggers across mobile, web, and desktop.

The company launched in 2016, remains fully independent, and serves 120+ clients, including RingCentral, Samsung, Gucci, Schwarzkopf, Vidyo, and more. That client list spans video conferencing, dating, beauty, creator apps, fintech, and healthcare. It matters because it means Banuba's product roadmap is shaped by a wide range of real-world streaming and AR needs, rather than by a single parent company's internal agenda.

How It Handles Face Tracking

Most AR SDKs detect 2D facial landmarks first, then apply complex equations to estimate a 3D head position. Banuba does something different. Its patented Face Kernel technology constructs a 3D head model directly from the camera feed, skipping the 2D step altogether.

This architectural choice has practical consequences for streaming:

The engine tracks 37 facial morphs instead of hundreds of static points, which dramatically reduces CPU load. It maintains sub-pixel accuracy across 68 facial anchor points and can reconstruct a face mesh with up to 3,308 vertices. Tracking stays locked even at extreme angles (from -90° to +90°), in low light, and with up to 70% of the face covered by a hand, mask, or microphone.

The anti-jitter system is patented, too. Because processing 37 parameters is so lightweight, the SDK runs noise-detection algorithms multiple times within a single frame. The practical result: zero perceptible lag, even on budget hardware.

All computation happens on-device. No cloud round-trips. No latency tax. No data is leaving the user's phone.

Streaming Integration: Native Agora Support

For teams building on Agora's real-time engagement platform, Banuba offers a native integration. Virtual backgrounds, beauty filters, and AR masks integrate with Agora's pipeline without custom glue code or frame-synchronization hacks.

This is not a community plugin. It's an officially supported pathway where the AR rendering and the streaming encoder work as a single optimized pipeline.

Performance on Real Hardware

Banuba compresses its neural networks and shifts workloads between CPU and GPU based on what each device can handle. On a 2019 mid-range Android phone, expect 35-40 FPS for makeup filters and 30+ FPS for complex 3D masks.

Battery management is built into the design. The SDK keeps power consumption low enough for users to stream for 10+ minutes without a dramatic battery drop. Device support starts at iOS 13.0 and Android 8.0 (API level 26+) with Camera 2 API and OpenGL ES 3.0. That covers 97% of iOS devices and roughly 80% of the Android market.

The SDK adds approximately 25 MB to your app's download size.

First-party wrappers for React Native and Flutter mean updates ship with the SDK, not months later from a community fork. This is a genuine differentiator. If you're building cross-platform and your Flutter wrapper breaks after an Android API update, you need the SDK vendor to fix it, not a volunteer.

Key Streaming Features

• Multi-face tracking with no artificial cap. The limit is hardware, not software. Recommended: up to 4 faces on mobile for stable 60 FPS, up to 6 on desktop.
• Beauty filters that preserve skin texture rather than blurring it. Includes skin smoothing, acne removal, eye bag removal, teeth whitening, and 28 face morphing options.
• Virtual backgrounds supporting static images, video, GIFs, and 360-degree environments. Background segmentation handles complex scenes, including movement, low light, and long hair, without edge flickering.
• Interactive effects triggered by gestures: open mouth, smile, raised brows, lowered brows, and custom triggers.
• 1,000+ AR effects available through the Banuba Asset Store, plus a browser-based Banuba Studio for creating custom effects with GLTF model import.
• Full segmentation stack: hair, skin, eyes (pupil, iris, sclera), eyebrows, lips, hands, and body. Each segment uses its own neural network.

Pricing

Banuba uses a flat subscription model, priced per platform per month. The cost depends on features and whether you pay annually (discounted) or in shorter cycles. Yearly, half-year, and quarterly payments are available. Monthly billing is not offered.

The critical detail: pricing does not scale with user count. If your app grows from 10,000 to 10 million MAUs, your license fee stays the same. For growth-stage products, this eliminates the "success tax" that plagues MAU-based models.

A 14-day free trial with full documentation access is available. The docs now include LLM-ready documentation for AI-assisted coding workflows.

Limitations

Custom effect creation in Banuba Studio has a learning curve. Basic integration is fast (most teams report under 8 minutes to a working demo), but building complex interactive AR experiences takes time and design effort.

Best Fit

• Social video and creator apps that need polished AR and beauty effects at scale
• Live streaming platforms targeting global audiences on mixed-quality hardware
• Video conferencing tools integrating virtual backgrounds and touch-up via Agora
• Dating and social apps
• Beauty and cosmetics platforms running virtual try-on alongside streaming

Skip If

You're a solo hobbyist on a zero budget who only needs basic 2D stickers and doesn't care about device-tier performance.

DeepAR SDK

DeepAR is a London-based AR SDK provider that focuses on face and body tracking for mobile, web, and live streaming applications. The SDK supports iOS, Android, macOS, Web (HTML5), and Unity.

The absence of Windows and Linux support limits DeepAR's usefulness for desktop-first conferencing or broadcasting tools. The lack of vendor-maintained React Native and Flutter wrappers creates a maintenance risk for cross-platform mobile teams.

In April 2025, Zalando, the European fashion e-commerce giant, acquired DeepAR to accelerate its 3D commerce and virtual try-on strategy. DeepAR remains a separate entity within Zalando, but its roadmap now orbits Zalando's ecosystem goals.

Face Tracking Architecture

DeepAR uses deep learning techniques for real-time face tracking, also tracking 68 facial anchor points. The approach follows a more conventional pipeline: 2D landmark detection followed by 3D estimation. It handles up to 4 simultaneous faces and detects 5 emotional states (sad, happy, angry, surprised, scared). Body tracking covers 17 key points across the waist, shoulders, elbows, arms, and head.

The 2D-to-3D pipeline works well on flagship and upper-mid-range devices. On older or lower-end Android hardware, tracking stability drops during fast head movements and partial face occlusion. The SDK does not publish device-tier optimization guidelines as detailed as Banuba's.

Streaming Integrations

DeepAR offers integrations with Amazon IVS, Agora, and Vonage. The Agora integration comes as an extension with demo projects. The Amazon IVS integration is well-documented for Android. Community developers have also published guides for Ant Media Server with WebRTC streaming.

These are functional partnerships. But for Agora specifically, Banuba's integration is deeper and maintained as a native component rather than an extension.

Features for Live Streaming

• Face filters and masks via a free + paid asset store and DeepAR Studio for custom creation
• Background replacement and blur using segmentation models
• Hair color change in real-time using deep learning
• Emotion detection across 5 states
• Beauty and makeup tools via the Beauty API (currently in beta)
• Up to 4 simultaneous face tracking

Pricing

DeepAR uses MAU-based pricing. The free tier is genuinely useful for prototyping. But the cost scales linearly with your audience. At 50,000 MAU, you're spending $1,000/month. If your app goes viral and hits 500,000 users, the custom pricing negotiation begins with limited leverage.

DeepAR Studio is free to use. Effects created in Studio can be used without additional charge.

Limitations

Segmentation gaps. Only hair segmentation is available. Individual face-part segmentation (eyes, lips, eyebrows, skin) is absent. This severely limits what you can build for beauty and cosmetics streaming use cases.

Background separation quality. Testing and user reports indicate that DeepAR's background removal frequently leaves large unseparated patches. Long hair and hands are often clipped or poorly separated.

Skin beautification. The SDK blurs skin texture rather than preserving it, producing a less natural look compared to Banuba's texture-preserving approach. Only 11 face morphing options are available (vs. 28).

Smaller content library. Roughly 150 AR filters compared to Banuba's 1,000+. No GLTF support listed.

Support response times. Users have reported delays stretching into days. No SLA is publicly offered. SDK updates ship quarterly rather than monthly.

Best Fit

• Quick AR prototypes and web-based marketing campaigns
• Small-scale social or gaming apps at low MAU counts
• Teams where designers need a visual editor (DeepAR Studio) without writing code
• Projects specifically targeting Amazon IVS with documented integration
• Fashion/e-commerce products that could benefit from Zalando ecosystem alignment

Skip If

You need detailed face-part segmentation for makeup or skincare try-on. You're targeting mid-range Android devices where tracking stability matters. Your product roadmap extends 3+ years, and you need vendor independence. You require Windows desktop support. You need SLA-backed technical support.

Banuba Live AR SDK vs. DeepAR Comparison

Decision Guidance: Which SDK Fits Your Product?

Choose Banuba if you are building a production-grade streaming app. The combination of patented 3D tracking, 68 anchor points, full face-part segmentation, and battery-efficient performance on budget hardware makes it the safer bet for apps shipping to real, diverse audiences. Native Agora integration removes weeks of custom pipeline work. Flat pricing protects your margins as your user base grows. Monthly SDK updates and SLA-backed support keep you moving after launch.

Choose DeepAR if you are prototyping or running a limited campaign. The free tier (up to 10 MAU, watermarked) and visual DeepAR Studio make it accessible for quick experiments. For web-based marketing campaigns that last a few weeks, DeepAR can deliver. Just model the MAU costs carefully if you plan to scale.

Explore Banuba’s Live AR SDK in your environment with its 14-day trial to see if it matches your business needs.

References

Banuba. (n.d.). Banuba asset store. https://assetstore.banuba.net/

Banuba. (n.d.). Banuba enters a worldwide partnership with Agora. https://www.banuba.com/blog/banuba-enters-a-worldwide-partnership-with-agora

Banuba. (n.d.). Banuba live AR SDK: Augmented reality live streaming. https://www.banuba.com/augmented-reality-live-streaming

Banuba. (n.d.). Banuba studio. https://studio.banuba.com/

Banuba. (n.d.). LLMs: LLM-ready documentation for AI-assisted coding. https://docs.banuba.com/far-sdk/tutorials/development/llms

Banuba. (n.d.). Our technology: Patented 3D face tracking & AR technology. https://www.banuba.com/technology/

DeepAR. (n.d.). DeepAR asset store. https://www.store.deepar.ai/

DeepAR. (n.d.). DeepAR developer portal. https://developer.deepar.ai/

DeepAR. (n.d.). DeepAR documentation: Face and body tracking SDK. https://docs.deepar.ai/

DeepAR. (n.d.). DeepAR SDK pricing. https://docs.deepar.ai/deepar-sdk/pricing/

Just Style. (2025, April). Zalando acquires DeepAR to accelerate AR and virtual try-on strategy. https://www.just-style.com/news/zalando-deepar-acquisition-tech/

Market Research Future. (n.d.). Live streaming market research report. https://www.marketresearchfuture.com/reports/live-streaming-market-10134

McKinsey & Company. (n.d.). It’s showtime! How live commerce is transforming the shopping experience. https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/its-showtime-how-live-commerce-is-transforming-the-shopping-experience

Mordor Intelligence. (n.d.). Live streaming market - growth, trends, and forecasts. https://www.mordorintelligence.com/industry-reports/live-streaming-market