FaceApp ist ein führender KI-gestützter Foto- und Selfie-Editor für iOS und Android. Mit über einer Milliarde Downloads nutzt es fortschrittliche neuronale Netze, um hyperrealistische Transformationen zu bieten. Wenden Sie mühelos Filter für Alterung, Geschlechtsumwandlung, Make-up, Frisuren und Schönheitsretuschen an. Perfekt, um beeindruckende, teilbare Inhalte für soziale Medien zu erstellen oder einfach nur zum Spaß.
Filterly ist eine KI-gestützte mobile Fotobearbeitungs-App, mit der Sie Ihr Aussehen in Fotos mit einem einzigen Fingertipp verändern können. Experimentieren Sie mit neuen Frisuren, visualisieren Sie Altersveränderungen und wenden Sie eine breite Palette von künstlerischen und Retro-Filtern an, um Ihr bestes Ich zu enthüllen.
Produktübersicht
FaceApp Produktübersicht
FaceApp ist ein führender KI-gestützter Foto- und Selfie-Editor für iOS und Android. Mit über einer Milliarde Downloads nutzt es fortschrittliche neuronale Netze, um hyperrealistische Transformationen zu bieten. Wenden Sie mühelos Filter für Alterung, Geschlechtsumwandlung, Make-up, Frisuren und Schönheitsretuschen an. Perfekt, um beeindruckende, teilbare Inhalte für soziale Medien zu erstellen oder einfach nur zum Spaß.
Filterly Produktübersicht
Filterly ist eine KI-gestützte mobile Fotobearbeitungs-App, mit der Sie Ihr Aussehen in Fotos mit einem einzigen Fingertipp verändern können. Experimentieren Sie mit neuen Frisuren, visualisieren Sie Altersveränderungen und wenden Sie eine breite Palette von künstlerischen und Retro-Filtern an, um Ihr bestes Ich zu enthüllen.
Detailed feature comparison
| Feature | FaceApp | Filterly |
|---|---|---|
| Hauptkategorie | Unterhaltung | Avatar-Generator |
| Hinzugefügt | 2025-09-09 | 2025-08-11 |
| Preismodell | Freemium | Freemium |
| Offizielle Website | faceapp.com | www.filterly.app |
| Produkttyp | App | App |
| Performance data | ||
| Nutzerbewertung | Nicht verifiziert | Nicht verifiziert |
| Kommentare | 0 | 0 |
| Monatliche Besuche | 349.1K | 174.3K |
| Monatliches Wachstum | -3.2% | -27.8% |
| Favoriten | 98 | 94 |
| Details | Details ansehen | Details ansehen |
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 Monatliche Besuche
- 2026/1: 383.6K Monatliche Besuche
- 2026/2: 298.6K Monatliche Besuche
- 2026/3: 335.3K Monatliche Besuche
- 2026/4: 360.9K Monatliche Besuche
- 2026/5: 349.1K Monatliche Besuche
Top-Regionen
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-Quellen
| Source type | Percentage | Traffic |
|---|---|---|
| Direkt | 92.13% | 321.7K |
| Verweis | 7.87% | 27.5K |
Suchbegriffe
Filterly monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 445.5K Monatliche Besuche
- 2026/1: 670.8K Monatliche Besuche
- 2026/2: 819.2K Monatliche Besuche
- 2026/3: 699.9K Monatliche Besuche
- 2026/4: 241.3K Monatliche Besuche
- 2026/5: 174.3K Monatliche Besuche
Top-Regionen
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-Quellen
| Source type | Percentage | Traffic |
|---|---|---|
| Direkt | 82.24% | 143.3K |
| Verweis | 11.18% | 19.5K |
| 6.58% | 11.5K |
Suchbegriffe
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 “Unterhaltung”, 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: Unterhaltung; 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-Erstellung; shared tags: KI-Filter, mobile App, Fotoeditor, Selfie-Editor und Soziale Medien. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
FaceApp's unique categories/tags are Unterhaltung, Fotobearbeitung, Altersfilter, Beauty-Filter, Geschlechtertausch, Fotoretusche und Porträtverbesserung; Filterly's are Avatar-Generator, Fotofilter, Altersfortschreibung, Avatar-Ersteller, Gesichtstausch, Frisurenwechsler und Bildtransformation. 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 “Unterhaltung” and especially Unterhaltung, Fotobearbeitung, Altersfilter, Beauty-Filter, Geschlechtertausch und Fotoretusche, or the users include Content Creator, Digital Marketing Manager, Grafikdesigner und 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, Fotofilter, Altersfortschreibung, Avatar-Ersteller, Gesichtstausch und Frisurenwechsler. 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.
Vergleichs-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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