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.
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.
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.
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.
Detailed feature comparison
| Feature | Flim | shopencore |
|---|---|---|
| Catégorie principale | Créatif | Comparaison de Prix |
| Ajouté | 2025-08-14 | 2025-08-10 |
| Tarification | Freemium | Gratuit |
| Site officiel | flim.ai | www.shopencore.ai |
| Type de produit | Site web | Site web |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 367.8K | 20.2K |
| Croissance mensuelle | -6.2% | 258.3% |
| Favoris | 147 | 134 |
| Details | Voir les détails | Voir 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
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/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 27.96% | 102.8K |
| 🇬🇧United Kingdom | 23.23% | 85.4K |
| 🇫🇷France | 22.94% | 84.4K |
| 🇪🇸Spain | 15.27% | 56.2K |
| 🇲🇽Mexico | 10.6% | 39K |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 90.01% | 331.1K |
| Référence | 8.74% | 32.1K |
| 1.25% | 4.6K |
Mots-clés
shopencore monthly traffic:
Latest traffic
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/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 95.63% | 19.4K |
| 🇬🇧United Kingdom | 4.37% | 884 |
Mots-clés
Usage comparison
Compare the core capabilities of Flim and shopencore
Flim Core features
shopencore Core features
Use cases
Flim Use cases
shopencore Use cases
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.




