Report updated May 4, 2026
FaceLab: Face Age, Hair Filter
For social media users interested in photo editing, viral face-transformation trends, and AI-powered beauty or style experimentation.
FaceLab: Face Age, Hair Filter is an established photo & video app that is free with in-app purchases. With a 4.0/5 rating from 833K reviews, it shows polarized user reception. Users particularly appreciate realistic photo transformation results provide high satisfaction for users exploring future aging or hair styles, though aggressive subscription paywalls and excessive advertisements block core functionality for non-paying users post-update remains a common concern.
What is FaceLab: Face Age, Hair Filter?
FaceLab is a photo and video editing app for iOS and Android that provides AI-powered aging, gender-swap, and hairstyle transformation filters.
Users hire FaceLab for low-stakes, viral-ready facial experimentation that provides immediate visual gratification, serving the job of social-media-ready content creation.
Current Momentum
v5.0 · 1w ago
Maintenance- Ships general bug fixes and improvements.
- Maintains high install volume via virality.
Active Nemesis
FaceApp: Perfect Face Editor
By FaceApp Technology
Other Rivals
7-Day Rank Pulse 🇺🇸
Photo & VideoRating Pulse 🇺🇸
Recent User Mood
What makes this app unique?
What Does It Look Like?
What Are The Key Features?
Neural network-based face transformation filters that simulate aging or gender changes on user-uploaded photos.
Automated detection and replacement of hair and facial hair styles using AI-driven image manipulation.
Computer vision tool that identifies facial structure to recommend specific haircut styles.
How much does it cost?
- Free tier with ad-supported access
- Premium subscription for ad-free experience and full filter access
Freemium model utilizes ad-supported free access to drive volume, with a subscription gate for watermark removal and exclusive AI features.
Who Built It?
Lyrebird Studio
Empowering social media creators with AI-driven visual transformation tools to generate viral-ready content and stylized portraits.
Portfolio
13
Apps
What other apps does Lyrebird Studio make?
Toonapp: AI Photo & Video Art
Cross Stitch Pattern, Pixelart
ArtistA: Cartoon Photo Editor
NeonArt: Neon Background Maker
Photos Collage Maker
ToonApp AI+ Viral Photo Maker
Explore the full Lyrebird Studio report
Portfolio breakdown, audience, momentum, and every app published by Lyrebird Studio.
What do users think recently?
High confidence · Latest 100 of 198 total reviews analyzed · Based on 198 reviews. Signal may be noisy.
How did the latest release land?
What is the recent mood?
Recent user voice shows a mixed sentiment. Users appreciate realistic photo transformation results provide high satisfaction for users exploring future aging or hair styles, but report aggressive subscription paywalls and excessive advertisements block core functionality for non-paying users post-update.
What Users Love
What Frustrates Users
What Users Want
View the full user-sentiment analysis
Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.
What is the competitive landscape for FaceLab: Face Age, Hair Filter?
Where is it available?
Localized markets (16)
How's The Photo & Video Market?
How does it evolve in the Photo & Video market?
FaceLab sits at #16 Free and #68 Grossing in the US Photo & Video category. The significant gap between discovery rank and monetization rank indicates that the current paywall strategy fails to convert the high volume of new users into paid subscribers.
Rank progression
151 active rankings tracked — 30-day window
The rivals identified
Nemeses(1)
FaceApp is the industry standard for the exact same AI-driven facial transformation and aging niche, maintaining a massive, highly active user base.
Differentiators
- Offers high-fidelity neural network transformations that consistently outperform standard filter-based aging effects.
- Maintains a massive, global social-sharing flywheel that drives organic acquisition without heavy ad spend.
- Provides advanced video-based face swapping capabilities that the target app currently lacks in its core flow.
Head to head
FaceApp dominates the niche through superior AI model fidelity; the target app must pivot toward niche-specific utility or faster, simpler UX to survive.
Contenders(2)
A long-standing leader in the selfie-editing space that captures the same demographic interested in facial modification.
Differentiators
- Specializes in real-time AR beauty filters that provide immediate gratification during the capture process.
- Maintains a massive library of aesthetic presets specifically tuned for social media influencer workflows.
EPIK provides a comprehensive suite of AI-powered editing tools that directly compete for the same 'face-enhancement' audience.
Differentiators
- Integrates professional-grade AI retouching tools that allow for granular control over facial features.
- Offers a wider variety of trendy, community-driven templates that keep the content library feeling fresh.
Same space(2)
Focuses on the AI-enhancement aspect of the photo market, serving users who want to fix or transform their images.
Differentiators
- Leads the market in high-quality AI restoration of blurry or low-resolution historical photos.
- Aggressively ships new AI-driven portrait generation features that keep the app relevant in viral trends.
A broad-spectrum creative platform that overlaps with the target app's niche while offering far more extensive editing capabilities.
Differentiators
- Provides a full-featured creative suite including layers, masking, and generative AI tools for complex compositions.
- Operates a massive creator community that functions as a social network for sharing edited content.
New entrants(1)
A rapidly emerging player focusing on the shift from static photo editing to AI-driven video generation.
Differentiators
- Prioritizes generative video workflows that allow users to animate static portraits with simple text prompts.
- Capitalizes on the current market demand for short-form, AI-generated video content over static image filters.
Compare FaceLab: Face Age, Hair Filter against every rival
All rivals in one side-by-side table — identity, store metrics, ratings & sentiment, and strategic intel — plus a head-to-head page for each.
The outtake for FaceLab: Face Age, Hair Filter
Strengths to defend, gaps to attack
Core Strengths
- Realistic neural-network transformation quality
- High-virality baby generator acquisition funnel
- Simplified UX for casual users
Critical Frictions
- Aggressive subscription paywalls post-update
- High-friction cancellation flows
- Misleading promotional content vs. actual feature set
Growth Levers
- Implement slider-based granular aging controls
- Expand B2B partnerships for hairstyle diagnostic tools
- Introduce non-intrusive ad-rewarded access
Market Threats
- FaceApp’s superior AI model fidelity
- Declining sentiment trend
- Increasing user trust erosion from misleading advertising
What are the next best moves?
Audit subscription cancellation flow because user complaints cite intentional difficulty → reduce churn and negative sentiment
Multiple reports of users being unable to locate a clear path to cancel recurring charges.
Trade-off: Pause the new hairstyle filter sprint — trust recovery has a higher impact on long-term LTV.
Implement slider-based aging controls because users request granular customization → increase session length
Top user request theme for aging features.
Trade-off: Deprioritize the baby generator update — existing virality is sufficient for current acquisition needs.
A counter-intuitive read
The app's high install rank is a liability, as it forces the team into a churn-and-burn monetization cycle that prevents the development of the community-based retention loops required to compete with FaceApp.
Feature Gaps vs Competitors
- Video-based face swapping (available in FaceApp but missing here)
- Granular slider-based transformation controls (available in EPIK but missing here)
Key Takeaways
FaceLab wins on viral acquisition but loses on retention due to aggressive paywalls, so the PM must prioritize transparent cancellation and granular user controls to stabilize the declining sentiment trend.
Where Is It Heading?
Declining
The photo-editing market is consolidating around apps that offer high-fidelity, granular AI controls, leaving FaceLab exposed as a single-purpose utility. Unless the team pivots from aggressive monetization to feature depth, the current churn pressure will erode the user base before the next major market shift.
Aggressive paywall friction in the latest update drives negative sentiment, which will likely accelerate churn among new users.
Misleading advertising claims regarding feature availability erode user trust, directly impacting the long-term conversion rate of the free-to-paid funnel.