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Flim
Créatif · 367.8K visites mensuelles

Flim est un moteur de recherche visuel alimenté par l'IA pour les professionnels de la création. Il donne accès à une base de données massive et constamment mise à jour de plus de 1,5 million d'images fixes et 384 000 clips vidéo issus de films, séries TV, clips musicaux et publicités. Flim utilise une IA avancée pour aider les utilisateurs à trouver l'image parfaite, à créer des moodboards et même à générer de nouveaux concepts visuels.

VS
shopencore
Comparaison de Prix · 20.2K visites mensuelles

Un moteur de recherche IA pour le marché de la seconde main. Utilisez le langage naturel ou le téléchargement d'images pour découvrir et comparer les offres de mode vintage, de meubles, d'électronique et d'objets de collection sur tout le web, en un seul endroit.

Flim vs shopencore : prix, fonctions et trafic

Comparez Flim et shopencore selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

Flim Aperçu du produit

Flim est un moteur de recherche visuel alimenté par l'IA pour les professionnels de la création. Il donne accès à une base de données massive et constamment mise à jour de plus de 1,5 million d'images fixes et 384 000 clips vidéo issus de films, séries TV, clips musicaux et publicités. Flim utilise une IA avancée pour aider les utilisateurs à trouver l'image parfaite, à créer des moodboards et même à générer de nouveaux concepts visuels.

Preview

shopencore Aperçu du produit

Un moteur de recherche IA pour le marché de la seconde main. Utilisez le langage naturel ou le téléchargement d'images pour découvrir et comparer les offres de mode vintage, de meubles, d'électronique et d'objets de collection sur tout le web, en un seul endroit.

Preview

Detailed feature comparison

FeatureFlimshopencore
Catégorie principaleCréatifComparaison de Prix
Ajouté2025-08-142025-08-10
TarificationFreemiumGratuit
Site officielflim.aiwww.shopencore.ai
Type de produitSite webSite web
Performance data
Note utilisateurNon vérifiéNon vérifié
Commentaires00
Visites mensuelles367.8K20.2K
Croissance mensuelle-6.2%258.3%
Favoris147134
DetailsVoir les détailsVoir les détails

Flim vs shopencore monthly traffic

Compare Flim and shopencore by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Flim vs shopencore monthly traffic comparison, Flim currently shows 367.8K visits and shopencore shows 20.2K; Flim has about 18.2 times the visible traffic of shopencore, an absolute difference of about 347.6K 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.

Flim monthly traffic:

Latest traffic

Visites mensuelles
367.8K
Durée moyenne
4:32
Pages par visite
8.97
Taux de rebond
35.99%
Data updated 2026-06-11

Monthly traffic trend

  • 2025/9: 373.6K Visites mensuelles
  • 2026/1: 380.6K Visites mensuelles
  • 2026/2: 374.1K Visites mensuelles
  • 2026/3: 382.7K Visites mensuelles
  • 2026/4: 392.2K Visites mensuelles
  • 2026/5: 367.8K Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States27.96%102.8K
🇬🇧United Kingdom23.23%85.4K
🇫🇷France22.94%84.4K
🇪🇸Spain15.27%56.2K
🇲🇽Mexico10.6%39K

Sources de trafic

Source typePercentageTraffic
Direct90.01%331.1K
Référence8.74%32.1K
E-mail1.25%4.6K

Mots-clés

film aifilmgrabflimflim aiflim.ai

shopencore monthly traffic:

Latest traffic

Visites mensuelles
20.2K
Durée moyenne
6:04
Pages par visite
2.8
Taux de rebond
57.56%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 7.9K Visites mensuelles
  • 2026/1: 9.5K Visites mensuelles
  • 2026/2: 3.1K Visites mensuelles
  • 2026/3: 4.3K Visites mensuelles
  • 2026/4: 5.6K Visites mensuelles
  • 2026/5: 20.2K Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States95.63%19.4K
🇬🇧United Kingdom4.37%884

Mots-clés

ai second hand searcencore shophow long should junior prom dresses be redditsecondhand dealsshopencore ai
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Flim 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 Flim and shopencore

Flim Core features

Créatif
Recherche d'images
Inspiration
Recherche Vidéo

shopencore Core features

Comparaison de Prix
Assistant d'Achats
Vie Durable

Use cases

Flim Use cases

recherche visuelle
Génération d'images par IA
Direction artistique
Inspiration créative
analyse de films
Réalisation cinématographique
recherche d'images
Moodboard
Séquences d'archives
Storyboard
clips vidéo

shopencore Use cases

recherche visuelle
Recherche de mode
Revente de luxe
Chercheur de Tenues
D'occasion
agrégateur de prix
Achats durables
friperie
Vintage

Flim vs shopencore:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Flim vs shopencore comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Flim is primarily listed under “Créatif”, while shopencore is primarily listed under “Comparaison de Prix”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Flim: Créatif; shopencore: Comparaison de Prix); Pricing (Flim: Freemium; shopencore: Free); Monthly visits (Flim: 367.8K; shopencore: 20.2K); Monthly growth (Flim: -6.2%; shopencore: 258.3%); Favorites (Flim: 147; shopencore: 134). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Flim vs shopencore monthly traffic comparison, Flim currently shows 367.8K visits and shopencore shows 20.2K; Flim has about 18.2 times the visible traffic of shopencore, an absolute difference of about 347.6K 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 Flim 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

Flim and shopencore currently overlap in shared tags: recherche visuelle. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Flim's unique categories/tags are Créatif, Recherche d'images, Inspiration, Recherche Vidéo, Génération d'images par IA, Direction artistique, Inspiration créative et analyse de films; shopencore's are Comparaison de Prix, Assistant d'Achats, Vie Durable, Recherche de mode, Revente de luxe, Chercheur de Tenues, D'occasion et agrégateur de prix. 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

Flim has no verified rating, 0 comments, 147 favorites, and 127 likes;shopencore has no verified rating, 0 comments, 134 favorites, and 140 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Flim first

Put Flim on the priority trial list when the task aligns with “Créatif” and especially Créatif, Recherche d'images, Inspiration, Recherche Vidéo, Génération d'images par IA et Direction artistique. This follows recorded positioning and does not imply unlisted capabilities are absent.

Flim also currently records: pricing is freemium, product type is website, 367.8K 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 shopencore first

Put shopencore on the priority trial list when the task aligns with “Comparaison de Prix” and especially Comparaison de Prix, Assistant d'Achats, Vie Durable, Recherche de mode, Revente de luxe et Chercheur de Tenues. This follows recorded positioning and does not imply unlisted capabilities are absent.

shopencore also currently records: pricing is free, product type is website, 20.2K 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 Flim and shopencore, 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.

FAQ comparative

How should I choose between Flim and shopencore?
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.