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FaceApp
Unterhaltung · 349.1K monatliche besuche

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.

VS
Filterly
Avatar-Generator · 174.3K monatliche besuche

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.

FaceApp vs Filterly: Preise, Funktionen und Traffic

Vergleiche FaceApp und Filterly nach Positionierung, Preis, Funktionen, Traffic und Nutzerfeedback.

Aktualisiert 05.08.2026

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.

Preview

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.

Preview

Detailed feature comparison

FeatureFaceAppFilterly
HauptkategorieUnterhaltungAvatar-Generator
Hinzugefügt2025-09-092025-08-11
PreismodellFreemiumFreemium
Offizielle Websitefaceapp.comwww.filterly.app
ProdukttypAppApp
Performance data
NutzerbewertungNicht verifiziertNicht verifiziert
Kommentare00
Monatliche Besuche349.1K174.3K
Monatliches Wachstum-3.2%-27.8%
Favoriten9894
DetailsDetails ansehenDetails 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

Monatliche Besuche
349.1K
Ø Besuchsdauer
0:25
Seiten pro Besuch
1.79
Absprungrate
50.36%
Data updated 2026-06-15

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/regionPercentageTraffic
🇺🇸United States53.5%186.8K
🇮🇳India16.03%56K
🇧🇷Brazil12.14%42.4K
🇩🇪Germany9.58%33.4K
🇰🇭Cambodia8.75%30.6K

Traffic-Quellen

Source typePercentageTraffic
Direkt92.13%321.7K
Verweis7.87%27.5K

Suchbegriffe

faceface appfaceappface app onlinefaceapp online

Filterly monthly traffic:

Latest traffic

Monatliche Besuche
174.3K
Ø Besuchsdauer
2:46
Seiten pro Besuch
6.64
Absprungrate
49.06%
Data updated 2026-06-15

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/regionPercentageTraffic
🇺🇸United States43.87%76.5K
🇺🇦Ukraine34.8%60.7K
🇵🇱Poland9.88%17.2K
🇫🇷France6.68%11.6K
🇧🇷Brazil4.77%8.3K

Traffic-Quellen

Source typePercentageTraffic
Direkt82.24%143.3K
Verweis11.18%19.5K
E-Mail6.58%11.5K

Suchbegriffe

filterffyfilterlyfilterly afffilterly appflairy app
Traffic-based selection guidance: 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.

Usage comparison

Compare the core capabilities of FaceApp and Filterly

FaceApp Core features

Content-Erstellung
Unterhaltung
Fotobearbeitung

Filterly Core features

Content-Erstellung
Avatar-Generator
Fotofilter

Use cases

FaceApp Use cases

KI-Filter
mobile App
Fotoeditor
Selfie-Editor
Soziale Medien
Altersfilter
Beauty-Filter
Geschlechtertausch
Fotoretusche
Porträtverbesserung

Filterly Use cases

KI-Filter
mobile App
Fotoeditor
Selfie-Editor
Soziale Medien
Altersfortschreibung
Avatar-Ersteller
Gesichtstausch
Frisurenwechsler
Bildtransformation

Best suited roles

FaceApp Best suited roles

Content Creator
Digital Marketing Manager
Grafikdesigner
Influencer
Fotograf
Social Media Manager

Filterly Best suited roles

Keine verifizierten Daten

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?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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