Face Morph - Morph 2 Faces
For casual users interested in photo editing and face-swapping effects.
Overview · Full Intel report in progress
Face Morph - Morph 2 Faces is an established photo & video app that is completely free. With a 3.0/5 rating from 8K reviews, it shows polarized user reception.
What is Face Morph - Morph 2 Faces?
Current Momentum
v1.0 · 3mo ago
SteadyLast updated 94d ago. 5 versions tracked.
Competition
Rivals identification in progress
7-Day Rank Pulse 🇺🇸
Photo & VideoNo ranking data
Rating Pulse 🇺🇸
What makes this app unique?
What Does It Look Like?
What Are The Key Features?
Blends two selected face photos into a single morphed image.
Allows users to manually adjust the strength of the morphing effect.
Enables users to change the direction of the morph between two faces.
Supports saving results as either a single image or a collage.
How much does it cost?
Who Built It?
Dongwook Cho
Providing specialized photo editing and Safari utility tools to enhance mobile productivity and creative expression.
Portfolio
13
Apps
What other apps does Dongwook Cho make?
Motion Blur - Panning Photo
Silhouette Art - Banksy Style
Clean Face - Smooth Skin Maker
EXIF Tool - Metadata Tool
Direct Video Links for Reddit
FrameMagic - Collage Maker
Explore the full Dongwook Cho report
Portfolio breakdown, audience, momentum, and every app published by Dongwook Cho.
Analysis in progress, available soon
What do users think recently?
Analysis in progress, available soon
View the full user-sentiment analysis
Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.
Analysis in progress, available soon
What is the competitive landscape for Face Morph - Morph 2 Faces?
How's The Photo & Video Market?
How does it evolve in the Photo & Video market?
Rank progression
14 active rankings tracked — 30-day window
Strategic analysis coming soon
SWOT, key takeaways & outlook
The outtake for Face Morph - Morph 2 Faces
Key Takeaways
While the app offers specific face-blending tools, user feedback indicates significant inconsistency in facial recognition performance.
Where Is It Heading?
Trend analysis
Available very soon