Digital onboarding and account recovery
Organizations adding liveness and face-to-document checks to KYC, account opening, step-up authentication, or recovery flows.
Independent tool overview
Facia at a glance
Facia is an active biometric-verification platform offering passive and active liveness checks, deepfake detection, 1:1 face matching, 1:N search, age estimation, and document verification through APIs and mobile/web SDKs. Its public per-check pricing is unusually transparent, but any deployment needs independent accuracy testing, strict biometric-data governance, an accessible fallback, and human review before denial or adverse action.
Visit the official Facia site ↗
- Product type
- Biometric liveness, deepfake detection, and face verification platform
- Integration
- REST API, web SDK, iOS/Android SDK, and enterprise on-premises
- Public trial
- 10 credits with no credit card required
- Pay-as-you-go band
- Fewer than 1,000 checks per month
- Public price range
- $0.10 to $0.70 per check, depending on service
- Published certification
- Vendor reports iBeta Level 2 ISO/IEC 30107-3 testing from March 2024
- Last reviewed
- August 31, 2026
Overview
What Facia is
Facia's current product line spans identity and media-authenticity workflows: Quick and Detailed Liveness, DeepLiveness, face-to-ID matching, face search, age estimation, document checks, live-meeting deepfake detection, and AI-image or video detection. It offers REST APIs, roughly 5MB iOS and Android SDKs, web SDKs, and enterprise on-premises deployment.
The vendor markets sub-second checks and publishes several error claims, including a current algorithm FAR of 0.06% with FRR of 0.3% and an iBeta Level 2 result reporting 0% attack acceptance under a specific 2024 ISO/IEC 30107-3 presentation-attack test. These figures describe different tests and thresholds and cannot be combined into a general accuracy guarantee. The iBeta result covered named 2024 SDK versions, two devices, and 1,500 presentation attacks; buyers should request the full current report and test the exact SDK, threshold, camera, population, lighting, network, and attack mix they will deploy.
A liveness pass means the captured presentation appears live under the detector; it does not prove the person's legal identity, intent, eligibility, or authority. Likewise, a face-match or deepfake score is probabilistic evidence, not a verdict. Layer Facia with document and account signals, device and fraud controls, manual review, and an appeal or non-biometric recovery path.
Facia's privacy policy treats facial images used for verification as biometric data, permits authorized subprocessors and international transfers, and gives only a purpose-based retention standard rather than a fixed deletion period. Before production, the customer needs a signed data-processing agreement that defines controller and processor roles, lawful basis or consent, notice, storage location, encryption and key control, exact deletion deadlines, subprocessor changes, audit rights, breach duties, and treatment of templates, images, scores, logs, and backups.
Use cases
Who Facia is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Fraud and deepfake defense
Teams screening synthetic selfies, replay attacks, face swaps, manipulated media, or live-video overlays as one signal in a broader fraud system.
Regulated enterprise deployments
Buyers that need API, mobile SDK, or on-premises options and have the legal, security, accessibility, and operations staff to govern biometrics responsibly.
Capabilities
Core Facia features
Quick and detailed liveness
Passive or active checks assess whether a face presentation is live, with higher-detail checks available at a higher per-call price.
DeepLiveness and media detection
Adds synthetic-face and deepfake signals for onboarding images, recorded media, and live-video scenarios.
Face matching and search
Supports 1:1 similarity checks against an expected identity and 1:N search against an enrolled gallery; the latter carries substantially greater privacy and false-match risk.
Age and document checks
Offers facial age estimation and document verification, which should be paired with policy-specific thresholds and a non-biometric fallback.
SDK and API delivery
Provides REST APIs plus web and lightweight mobile SDKs for embedding capture and verification into customer applications.
On-premises option
Enterprise customers can request local deployment for tighter data-location and systems control, subject to contract and operational responsibilities.
Process
How the Facia workflow works
Step 1
Define necessity and legal basis
Document why biometrics are proportionate, which jurisdictions and populations are affected, required notices or consent, retention, and the accessible alternative for people who decline or cannot pass.
Step 2
Separate signals and decisions
Choose liveness, 1:1 match, 1:N search, age, document, or deepfake services deliberately; do not collapse their scores into a single unexplained accept/deny rule.
Step 3
Run a representative evaluation
Measure false acceptance, false rejection, attack acceptance, failure to acquire, latency, and abandonment by device, lighting, age, skin tone, gender presentation, disability, and network conditions.
Step 4
Build review and fallback
Route uncertainty and failures to trained reviewers, prohibit automatic adverse action, provide a timely non-biometric path, and make appeals available without forcing repeated face scans.
Step 5
Minimize and audit data
Collect only necessary frames, set automated deletion for images, templates, scores, logs, and backups, rotate credentials, monitor threshold drift, retest upgrades, and audit processor compliance.
Cost
Facia pricing and free plan
Facia publishes pay-as-you-go prices for fewer than 1,000 checks per month and custom enterprise pricing above 1,000. The portal offers 10 starting credits without a card. Enterprise quotes can be up to ten times lower than individual rates according to Facia, but the discount varies by volume and requirements. Budget for failed captures, retries, manual review, document-vendor costs, storage, implementation, legal review, and support—not only successful checks.
Pay as you go
$0.10–$0.70 per check
Public rates for fewer than 1,000 checks per month.
- Quick Liveness: $0.10
- Detailed Liveness: $0.12
- Deepfake Detection: $0.40
- Age Estimation: $0.10
- Document Verification: $0.70
- Face Match 1:1: $0.15
- Face Search 1:N: $0.15
- 20 verifications per minute listed
Enterprise
Custom quote
Bulk pricing and enterprise controls for more than 1,000 checks per month.
- Facia advertises discounts up to 10x, dependent on scope
- Priority support and on-premises deployment are listed
- 60 verifications per minute listed
- Negotiate SLA, current SDK certification, deletion, support, and incident terms
Trial
10 credits
Portal starter credits with no credit card required.
- Suitable for integration exploration, not production accuracy validation
- Use synthetic or consented test subjects
- Do not upload real customer biometrics before contracts and controls are approved
Pricing checked . Check current pricing at the source ↗
Assessment
Facia strengths and limitations
Where it stands out
- Transparent public unit prices make initial transaction-cost modeling easier than with quote-only biometric vendors
- Broad coverage across liveness, matching, search, documents, age, and deepfake signals can reduce integration sprawl
- API, mobile, web, and on-premises options support several deployment and data-control models
- A documented iBeta presentation-attack test provides more concrete evidence than an unsupported accuracy slogan, although scope and version still matter
What to consider
- Most performance numbers on the current site are vendor claims, use different metrics or test conditions, and are not a substitute for an independent evaluation of the deployed version
- The public privacy policy does not state a fixed biometric-image or template retention period, using a general 'reasonably necessary' standard instead
- Facial images, templates, match scores, age estimates, and galleries create sensitive, hard-to-revoke privacy and security risk
- 1:N search, surveillance, hiring, immigration, financial access, age gating, and government uses can be legally restricted or high impact and require much stronger necessity, oversight, and due process
- False rejects can exclude legitimate users and false accepts can admit attackers; demographic, device, accessibility, and environmental performance must be monitored continuously
Compare
Facia alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Students
Human or Not Game
Human or Not is only a public deepfake-literacy exercise, not an enterprise identity-verification substitute; use it for awareness while comparing Facia against dedicated biometric vendors through a formal procurement and bake-off.
Explore Human or Not Game →Questions
Facia FAQs
What does Facia do?
Facia provides liveness and deepfake detection, 1:1 face matching, 1:N face search, age estimation, document verification, and related biometric APIs and SDKs.
How much does Facia cost?
Public pay-as-you-go rates range from $0.10 for Quick Liveness or Age Estimation to $0.70 for Document Verification. Detailed Liveness is $0.12, face match or search is $0.15, and deepfake detection is $0.40 per check. Enterprise pricing is custom.
Is Facia independently certified?
Facia reports that specified Android and iOS SDK versions passed a March 2024 iBeta Level 2 presentation-attack test aligned with ISO/IEC 30107-3. Ask for the full report and confirm that the tested version, platform, configuration, and attack scope match the current product you will deploy.
Does a liveness pass prove identity?
No. It indicates that the captured presentation appears live under the detector. Identity still requires matching to a trusted enrollment or document plus account, device, and fraud checks.
How long does Facia retain biometric data?
The public privacy policy says data is kept as long as reasonably necessary for the purpose and legal obligations, but it does not publish a fixed biometric retention schedule. Contract an exact deletion timetable for each data type and backup.
Can Facia make automatic approval or denial decisions?
It can return scores and decisions for workflow automation, but organizations should not let one biometric signal make consequential decisions. Use calibrated thresholds, human review, notice, an accessible alternative, and appeal rights.
Bottom line
Our Facia verdict
Facia is a credible product to include in a liveness and deepfake-detection evaluation, especially because its unit pricing, integration options, and named iBeta test are public. It is not a plug-and-forget identity authority. The procurement decision should depend on an independent, population-specific bake-off and a contract that closes the public policy gaps around retention, subprocessors, data location, versioned accuracy evidence, fallback, and adverse-action review.
Visit Facia website ↗
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