Facia

Facia

AI-face deepfake detection and liveness verification for KYC and fraud prevention

65/100MonitorFree planFreemium

Facia is a strong pick for high-stakes KYC and fraud prevention where accuracy trumps convenience. The DeepLiveness layer with sub-0.5% FAR/FRR is genuinely differentiated, and the e-meeting deepfake detection is forward-looking. However, the lack of a self-serve enterprise path, no published enterprise pricing, and minimal third-party integrations are friction points for smaller teams. If you need automated, low-touch onboarding at scale, consider Onfido or iProov; if you need

Verified 4d ago · liveness 65/100 · cite: rightaichoice.com/tools/facia

Best for
  • KYC and identity verification providers needing fast, accurate liveness and deepfake detection
  • Financial institutions preventing fraud during onboarding and high-risk transactions
  • Government agencies deploying biometric identification for border control, immigration, and surveillance
  • Dating and social platforms verifying real user identities to prevent fake profiles
Not ideal for
  • Users seeking a completely free or self-serve solution without sales engagement
  • Projects that require only basic username/password authentication without biometrics
  • Organizations with no biometric data privacy compliance or unclear data handling policies
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IntermediateFor a developer, integrating Facia's API/SDK typically takes 1-2 days to get basic liveness checks working, plus another day for deepfake detection and photo ID matching. Enterprise on-prem deployment may take 1-2 weeks depending on infrastructure.Web · Mobile · APIAPI availableVerified 4d ago
Pricing
Free plan
FreemiumFree tier2 plans5 hidden costs
Learning curve
Intermediate
For a developer, integrating Facia's API/SDK typically takes 1-2 days to get basic liveness checks working, plus another day for deepfake detection and photo ID matching. Enterprise on-prem deployment may take 1-2 weeks depending on infrastructure.
Runs on
WebMobileAPI
API available
Who it's for
Fraud analyst at a bankSecurity architect at a dating appEvent manager for a large conference
Live sentiment
Is Facia actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Facia if you need a fully self-serve, plug-and-play identity verification with published enterprise pricing and a rich integration marketplace, or if your fraud risk is low and per-check costs matter more than sub-0.5% accuracy.

The 30-second take
Biggest gripe

Going past 10 free credits requires paying per check, and deepfake detection at $0.40/check can add up quickly for high-volume screening.

Price reality

Facia's Pay As You Go pricing ($0.10-$0.70/check) fits low-volume pilots and small-scale use, but for >1000 checks/month, enterprise custom pricing (up to 10x lower) becomes cost-effective against Onfido or iProov, which typically charge per verification with volume discounts.

In short

Facia — AI-face deepfake detection and liveness verification for KYC and fraud prevention. Best for KYC and identity verification providers needing fast, accurate liveness and deepfake detection, Financial institutions preventing fraud during onboarding and high-risk transactions, Government agencies deploying biometric identification for border control, immigration, and surveillance. Free to start; paid plans from $10/mo.

What people actually say about Facia — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

72 mentions across 4 sources (Hacker News, YouTube, Product Hunt, Lemmy) · researched Aug 29, 2026.

35% positive65% critical
Recurring strengths
  • +DeepLiveness fuses multiple detection techniques to catch deepfakes (source: Product Hunt).
  • +Combats 56+ spoofing attack types, positioning as a robust anti-fraud layer.
  • +Flexible deployment: cloud, on-prem, and mobile SDKs for iOS/Android.
  • +iBeta Level 2 certified for passive liveness, reassuring for regulated industries.
  • +Straightforward pay-as-you-go pricing starting with free credits.
Recurring frustrations
  • No meaningful community reviews or third-party validation of performance claims.
  • Self-serve onboarding is limited; most features require direct sales contact.
  • No integration marketplace or plug-and-play ecosystem like competitors.
  • The name 'Facia' clashes with unrelated products, muddying search and brand recognition.
  • Pricing for deepfake detection ($0.40/check) is steeper than basic liveness checks.
Patterns worth knowing
Deepfake detection is a vital but complex problem that Facia addresses uniquely
Seen on Product Hunt
Lack of independent community validation and sparse user feedback
Seen on Hacker News, Lemmy
Deployment flexibility (cloud, on-prem, SDK) is valued by early reviewers
Seen on Product Hunt
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
  • No clear annual commitment pricing; enterprise quotes are sales-driven
  • Per-check costs can escalate with high-volume deepfake detection
  • Potential integration or professional services fees not disclosed

Viability Score

65/100
Monitor

How well maintained and how widely used is Facia? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
100
Site health
95
User sentiment
35
What the vendor publishes
20

Last calculated: September 2026

How we score →

Key Features

  • DeepLiveness multi-modal active & passive liveness detection
  • Deepfake detection for images and videos (AI-generated face ID)
  • E-meeting deepfake detection during video conferencing
  • 1:1 face matching and photo ID matching
  • 1:N face search for account de-duplication
  • Age estimation from facial features
  • Iris recognition (hardware and software)
  • Passwordless SSO powered by 3D liveness
  • Step-up authentication with real-time 3D liveness
  • Self-service account recovery via face scan
  • Single image liveness check
  • Shared device authentication
  • On-premise deployment option
  • Mobile SDK for iOS and Android
  • API access and web SDKs

About Facia

FreemiumIntermediateAPI availableWeb · Mobile · API

Facia is a biometric identity verification platform engineered for organizations that must confirm not just that a face is present, but that it is real — not a photo, a video replay, or an AI-generated synthetic. It layers a dedicated deepfake detection engine called DeepLiveness on top of standard liveness checks. DeepLiveness blends RGB texture analysis, motion analysis, depth mapping, and neural anomaly detection to flag AI-generated faces and synthetic identities in real time, covering over 56 types of spoofing attacks. The platform also detects deepfakes during live video meetings, a growing threat for remote KYC and virtual events. Facia's accuracy metrics are among the industry's strongest: a false acceptance rate (FAR) of 0.06% and a false rejection rate (FRR) of 0.3%. It holds iBeta Level 2 certification for passive liveness and is NIST-compliant for face recognition, making it a compliance-ready choice for regulated industries. Beyond liveness, Facia offers 1:1 and 1:N face matching, photo ID matching, age estimation, iris recognition, and document verification — all available via cloud, on-premise, or mobile SDKs for iOS and Android. Pricing is simple for low-volume users: Pay As You Go starts with 10 free credits (no credit card), then $0.10 per quick liveness check, $0.15 for face match, $0.40 for deepfake detection, and $0.70 for document verification. Enterprise customers processing over 1,000 checks per month get custom pricing, often up to 10x lower per-check rates, plus on-prem deployment and priority support (with rate limiting at 60 verifications per minute versus 20 on the pay-as-you-go tier). Facia targets banks, governments, dating apps, iGaming platforms, and event managers — anyone facing fraud or fake-account pressure. Compared with iProov or Onfido, Facia's deepfake-specific layer and aggressive accuracy rates set it apart, but it's not the most self-serve option; there's no broad app-store ecosystem or plug-and-play integration

Behind the Verdict

Facia sits in a crowded market — liveness detection is table stakes for KYC, but most vendors stop at 'is a face present.' Facia's DeepLiveness goes a step further: it's explicitly designed to catch AI-generated faces and deepfake videos, which is rare and increasingly vital as synthetic identity fraud balloons. We'd reach for Facia when the cost of a false positive is sky-high — think banking onboarding, government border control, or a dating app where fake profiles destroy trust. The accuracy numbers back that up: FAR of 0.06% and FRR of 0.3% are among the best we've seen published, and the iBeta Level 2 certification gives compliance teams something concrete to hang on. That said, Facia isn't a plug-and-play tool. The pay-as-you-go tier is fine for testing — 10 free credits, no card — but once you scale past 1,000 checks per month, you're pushed into enterprise sales, and the pricing page punts to 'get a quote' with no published numbers. That's a real friction point for mid-sized teams that want to move fast. Also, the feature list is broad (iris recognition, age estimation, 1:N search), but the integrations section is empty — no Slack, no Salesforce, no documented connectors — so you'll likely need engineering time to wire it into your stack. Compared with Onfido or iProov, which offer more self-serve onboarding and richer integration ecosystems, Facia trades convenience for depth on deepfake defense. If your threat model revolves around AI-generated faces, that's a trade worth making. If you just need basic liveness for low-risk use cases, the added cost and complexity may be overkill. In practice, we'd suggest starting with the free credits to test accuracy on your own data, then weighing the enterprise conversation against what you'd pay with competitors. The

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Real-world workflow fit

Concrete scenarios for the personas Facia actually fits — and what changes day-one when you adopt it.

Fraud analyst at a bank

You need to verify a new customer's identity during online onboarding without slowing them down.

Outcome: You integrate Facia's Web SDK; the customer takes a selfie; DeepLiveness confirms the face is live and matches the photo ID in seconds, with FAR 0.06% and FRR 0.3%.

Security architect at a dating app

You want to eliminate fake profiles and catfishing.

Outcome: You use Facia's 1:N face search to de-duplicate accounts and Deepfake Detection to flag AI-generated profile photos, reducing fake accounts.

Event manager for a large conference

You need secure entry and attendance tracking.

Outcome: You deploy Facia's face recognition at entry points; attendees check in with a scan, and you get real-time attendance data without physical badges.

Use Cases

Limitations

  • Facia does not list enterprise pricing publicly, requiring direct contact with sales.
  • The platform lacks a public integration marketplace, so you must build custom integrations via API/SDK.
  • Deepfake detection at $0.40 per check is relatively expensive for high-volume use, though enterprise rates drop.
  • The solution may require customization and technical support for enterprise deployment across different industries.

as of 2026-08-21

Verification history

We have re-verified Facia 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. re-checked, vendor evidence unchanged
  4. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 7 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Contact sales for a quote
Effective monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Facia tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Pay As You Go

Free to start (10 credits) + per-check fees

Ideal for

Individual developers or small businesses with under 1000 checks per month, looking for a pay-per-use model without a credit card requirement (10 free credits).

What this tier adds

Starting tier with per-check fees: $0.10 quick liveness, $0.12 detailed liveness, $0.40 deepfake detection, $0.70 document verification; rate-limited to 20 verifications per minute.

Enterprise

Custom (up to 10x less per check)

Ideal for

Banks, governments, and large businesses with over 1000 checks per month needing bulk pricing, priority support, and optional on-prem deployment.

What this tier adds

Custom pricing up to 10x lower than PAYG, 60 verifications per minute, plus on-prem deployment and priority support not available on PAYG.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Going past 10 free credits requires paying per check, and deepfake detection at $0.40/check can add up quickly for high-volume screening.
  • Enterprise pricing is custom and not published, so you must contact sales to get a quote; expect a sales cycle before you see real numbers.
  • The Pay As You Go tier is rate-limited to 20 verifications per minute; if you need higher throughput, you'll need to move to a custom enterprise plan.
  • Some features like on-prem deployment and priority support are only available on the Enterprise tier, not the Pay As You Go tier.
  • There are no public integration marketplace or partner apps, so you may need to budget for custom integration development.

Where the pricing makes sense

The company stage and team size where Facia's pricing actually pencils out — and where peers do it cheaper.

Facia's Pay As You Go pricing ($0.10-$0.70/check) fits low-volume pilots and small-scale use, but for >1000 checks/month, enterprise custom pricing (up to 10x lower) becomes cost-effective against Onfido or iProov, which typically charge per verification with volume discounts.

Setup time & first value

How long it actually takes to get something useful out of Facia — broken out by persona, not the marketing-page minute.

For a developer, integrating Facia's API/SDK typically takes 1-2 days to get basic liveness checks working, plus another day for deepfake detection and photo ID matching. Enterprise on-prem deployment may take 1-2 weeks depending on infrastructure.

Switching to or from Facia

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From Onfido or iProov: export your verified user data and re-run a one-time liveness+deepfake check to establish a trusted baseline.
  • From a manual KYC process: integrate Facia's API for automated liveness and document verification; set up a pilot with low stakes first.
Migrating out
  • To Onfido or iProov: export your verification logs and migrate stored face templates if needed, but note that biometric templates may not be portable.
  • To an in-house solution: export your verification data and build your own liveness checks, but you'll lose Facia's deepfake detection layer.

Resources & Guides

Tutorials & Learning

Official links

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Frequently Asked Questions

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