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DeepAR: AR face filters for any website or app Review

Depends

Should I use DeepAR: AR face filters for any website or app?

Add 3D face masks, filters, effects, background removal and segmentation to any app, website or game with one powerful SDK. - deepar.ai

· 1 month ago

Buy if you're a developer team shipping face filters or virtual try-on across web, iOS, and Android. Avoid if you're non-technical, need one-off filters, or require published pricing and security documentation upfront.

Confidence

Medium. Based on 20+ public sources; pricing and independent review evidence is thin.

Ratings

  • Value for moneyNo pricing evidence in reviewed sources
  • Ease of use
  • Feature depth
  • Support qualityNo support evidence found
  • Security posture

Pricing

Not disclosed

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed

Best for

  • Consumer apps adding Snapchat-style filters
  • Beauty and eyewear virtual try-on
  • Video-call and live-stream platforms
  • Unity and mobile game developers

Not for

  • Non-technical teams — it's a developer SDK, no no-code option
  • One-off brand filters — agencies or social-native tools cost less
  • Small sites without developers to integrate and maintain it
  • Buyers who need published pricing and security docs upfront

Gotchas - check before you buy

high

No security page; camera streams are sensitive — request data-handling documentation pre-contract.

medium

No public pricing found; expect a sales conversation and possibly usage-based fees.

medium

Only one Gartner review exists — little independent signal on reliability or support.

medium

Banuba's head-to-head mentions post-acquisition roadmap shifts; confirm product direction before a long contract.

Pros and cons

Pros

  • Works across web, iOS, Android, Unity; browser integration via npm
  • Prebuilt integrations with Agora and Vonage video SDKs
  • 500+ ready-made face filters, masks, and effects
  • Users report convincing, realistic virtual try-on for beauty
  • Runs real-time even on older mobile devices

Cons

  • Nearly no independent reviews; Gartner shows a single rating
  • Competitor benchmark flags post-acquisition roadmap uncertainty
  • No public security page despite handling camera and face data
  • Pricing not published in any reviewed source

Sources & method

- 10 sources - No known vulnerabilities found in the sources reviewed.

official x3review x4security x1news x2

Key stats

  • Ease of use: 4/5

    Rating

  • Not disclosed

    Starting price

  • 10

    Sources

  • Analyzed

  • Value for money. No pricing evidence in reviewed sources
  • Ease of use: 4/5. Fast setup reported; SDKs for web, mobile, Unity, Flutter
  • Feature depth: 5/5. 500+ filters, segmentation, try-on, multi-platform
  • Support quality. No support evidence found
  • Security posture: 2/5. No public security page found
  • 5.0/5 Gartner rating 1 review only
  • 1,000 Businesses using plus 30,000 creators, per exec tweet
  • 100M+ AR experiences delivered per company exec on X
  • 500+ Ready-made filters via Agora extension listing

Pricing

Not disclosed

Security

No known vulnerabilities found in the sources reviewed.

What users say

Sparse but positive: users praise filter quality, real-time performance on older devices, and convincing beauty try-on.

“I've seen this working and it's great even in my old mobile! Another thing is the creativity behind it, these are indeed different filters from what I'm used to”
Product Hunt
“Using DeepAR for virtual try-on has been very positive, it creates a realistic experience. It's convincing as a user, especially if used for beauty try-on.”
Gartner Peer Insights
“Create customized AR screens fast and reducing significant upside time · High filter quality, equivalent or improved”
G2

Companies that use it

  • Michael David Winery¹
  • Vonage⁸
Full analysis

Based on 20+ public sources; pricing and independent review evidence is thin.

Capable face-filter SDK with real traction (1,000 businesses). Dev-only, opaque pricing; overkill for one-off filters.

Methodology

Based on 20+ public sources; pricing and independent review evidence is thin.

Read how a report is made.

Sources

  1. official
  2. security
  3. review
  4. review
  5. DeepAR on Product Huntproducthunt.com
    review
  6. review
  7. official
  8. news
  9. official
  10. news

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