FaceApp is a leading AI-powered photo and selfie editor for iOS and Android. With over a billion downloads, it uses advanced neural networks to offer hyper-realistic transformations. Effortlessly apply filters for aging, gender swap, makeup, hairstyles, and beauty retouching. Perfect for creating stunning, shareable content for social media or simply for fun.
Filterly is an AI-powered mobile photo editing app that lets you transform your appearance in photos with a single tap. Experiment with new hairstyles, visualize age changes, and apply a wide range of artistic and retro filters to unveil your best self.
Product overview
FaceApp Product overview
FaceApp is a leading AI-powered photo and selfie editor for iOS and Android. With over a billion downloads, it uses advanced neural networks to offer hyper-realistic transformations. Effortlessly apply filters for aging, gender swap, makeup, hairstyles, and beauty retouching. Perfect for creating stunning, shareable content for social media or simply for fun.
Filterly Product overview
Filterly is an AI-powered mobile photo editing app that lets you transform your appearance in photos with a single tap. Experiment with new hairstyles, visualize age changes, and apply a wide range of artistic and retro filters to unveil your best self.
Detailed feature comparison
| Feature | FaceApp | Filterly |
|---|---|---|
| Primary category | Entertainment | Avatar Generator |
| Added | 2025-09-09 | 2025-08-11 |
| Pricing | Freemium | Freemium |
| Official website | faceapp.com | www.filterly.app |
| Product type | App | App |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 349.1K | 174.3K |
| Monthly growth | -3.2% | -27.8% |
| Favorites | 98 | 94 |
| Details | View details | View details |
FaceApp vs Filterly monthly traffic
Compare FaceApp and Filterly by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the FaceApp vs Filterly monthly traffic comparison, FaceApp currently shows 349.1K visits and Filterly shows 174.3K; FaceApp has about 2 times the visible traffic of Filterly, an absolute difference of about 174.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
FaceApp monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 344.4K Monthly visits
- 2026/1: 383.6K Monthly visits
- 2026/2: 298.6K Monthly visits
- 2026/3: 335.3K Monthly visits
- 2026/4: 360.9K Monthly visits
- 2026/5: 349.1K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 53.5% | 186.8K |
| 🇮🇳India | 16.03% | 56K |
| 🇧🇷Brazil | 12.14% | 42.4K |
| 🇩🇪Germany | 9.58% | 33.4K |
| 🇰🇭Cambodia | 8.75% | 30.6K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 92.13% | 321.7K |
| Referral | 7.87% | 27.5K |
Search keywords
Filterly monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 445.5K Monthly visits
- 2026/1: 670.8K Monthly visits
- 2026/2: 819.2K Monthly visits
- 2026/3: 699.9K Monthly visits
- 2026/4: 241.3K Monthly visits
- 2026/5: 174.3K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 43.87% | 76.5K |
| 🇺🇦Ukraine | 34.8% | 60.7K |
| 🇵🇱Poland | 9.88% | 17.2K |
| 🇫🇷France | 6.68% | 11.6K |
| 🇧🇷Brazil | 4.77% | 8.3K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 82.24% | 143.3K |
| Referral | 11.18% | 19.5K |
| 6.58% | 11.5K |
Search keywords
Usage comparison
Compare the core capabilities of FaceApp and Filterly
FaceApp Core features
Filterly Core features
Use cases
FaceApp Use cases
Filterly Use cases
Best suited roles
FaceApp Best suited roles
Filterly Best suited roles
FaceApp vs Filterly:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth FaceApp vs Filterly comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. FaceApp is primarily listed under “Entertainment”, while Filterly is primarily listed under “Avatar Generator”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (FaceApp: Entertainment; Filterly: Avatar Generator); Monthly visits (FaceApp: 349.1K; Filterly: 174.3K); Monthly growth (FaceApp: -3.2%; Filterly: -27.8%); Favorites (FaceApp: 98; Filterly: 94); Website (FaceApp: faceapp.com; Filterly: www.filterly.app). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the FaceApp vs Filterly monthly traffic comparison, FaceApp currently shows 349.1K visits and Filterly shows 174.3K; FaceApp has about 2 times the visible traffic of Filterly, an absolute difference of about 174.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate FaceApp first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
FaceApp and Filterly currently overlap in shared categories: Content Creation; shared tags: ai filter, mobile app, photo editor, selfie editor, and social media. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
FaceApp's unique categories/tags are Entertainment, Photo Editing, age filter, beauty filter, gender swap, photo retouching, and portrait enhancement; Filterly's are Avatar Generator, Photo Filters, age progression, avatar creator, face swap, hairstyle changer, and image transformation. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
FaceApp has no verified rating, 0 comments, 98 favorites, and 119 likes;Filterly has no verified rating, 0 comments, 94 favorites, and 90 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate FaceApp first
Put FaceApp on the priority trial list when the task aligns with “Entertainment” and especially Entertainment, Photo Editing, age filter, beauty filter, gender swap, and photo retouching, or the users include Content Creator, Digital Marketer, Graphic Designer, and Influencer. This follows recorded positioning and does not imply unlisted capabilities are absent.
FaceApp also currently records: pricing is freemium, product type is app, 349.1K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Filterly first
Put Filterly on the priority trial list when the task aligns with “Avatar Generator” and especially Avatar Generator, Photo Filters, age progression, avatar creator, face swap, and hairstyle changer. This follows recorded positioning and does not imply unlisted capabilities are absent.
Filterly also currently records: pricing is freemium, product type is app, 174.3K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in FaceApp and Filterly, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Comparison FAQ
How should I choose between FaceApp and Filterly?
Where does this comparison data come from?
What do unknown fields mean?
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