Étiquette

Text editor

22 images de la bibliothèque correspondent à Text editor, réparties sur 7 films de 5 marques. Chacune a été mesurée sur le film lui-même plutôt que lue dans une description, donc voici comment le plan est réellement utilisé et non comment une charte dit qu'il devrait l'être.

Aucun rendu sur cette page, aucune liste de matériel. Chaque image ci-dessous est une seconde réelle d'un film que vous pouvez aller voir, et chaque chiffre compte de vraies images au lieu de les estimer sur un échantillon.

Images
22
Films
7
Marques
5
Coupe médiane
2.1 s

Qui filme le plus ainsi

Classé selon le nombre d'images que chaque marque apporte à cette coupe de la bibliothèque.

iA Inc 10 imagesDescript 6 imagesAmmaar Reshi 2 imagesLovable 2 imagesRaycast 2 images
iA Inc Track what AI wrote at 0:13
iA IncTrack what AI wrote
0:13
iA Inc Track what AI wrote at 0:16
iA IncTrack what AI wrote
0:16
iA Inc Track what AI wrote at 0:19
iA IncTrack what AI wrote
0:19
iA Inc Track what AI wrote at 0:22
iA IncTrack what AI wrote
0:22
iA Inc Track what AI wrote at 0:25
iA IncTrack what AI wrote
0:25
iA Inc Track what AI wrote at 0:28
iA IncTrack what AI wrote
0:28
iA Inc Track what AI wrote at 0:31
iA IncTrack what AI wrote
0:31
iA Inc Track what AI wrote at 0:34
iA IncTrack what AI wrote
0:34
Descript Descript Podcast Studio at 1:32
DescriptDescript Podcast Studio
1:32
Descript Descript Podcast Studio at 1:34
DescriptDescript Podcast Studio
1:34
Descript Descript Podcast Studio at 2:11
DescriptDescript Podcast Studio
2:11
Descript Descript Podcast Studio at 2:12
DescriptDescript Podcast Studio
2:12
Descript Descript Podcast Studio at 2:14
DescriptDescript Podcast Studio
2:14
Descript Descript Podcast Studio at 2:18
DescriptDescript Podcast Studio
2:18
iA Inc iA Presenter at 0:10
iA InciA Presenter
0:10
iA Inc Search to Navigate at 0:04
iA IncSearch to Navigate
0:04
Raycast Snippets in Raycast at 0:34
RaycastSnippets in Raycast
0:34
Raycast Snippets in Raycast at 0:38
RaycastSnippets in Raycast
0:38
Lovable He Built an AI Shopping App to 15,000 Users in 2 Months at 0:06
LovableHe Built an AI Shopping App to 15,000 Users in 2 Months
0:06
Lovable He Built an AI Shopping App to 15,000 Users in 2 Months at 0:07
LovableHe Built an AI Shopping App to 15,000 Users in 2 Months
0:07
Ammaar Reshi Introducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text... at 1:58corner inset
Ammaar ReshiIntroducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text...
1:58
Ammaar Reshi Introducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text... at 2:02corner inset
Ammaar ReshiIntroducing Gemini 3.5 Transcribe 🚀 Our most precise speech to text...
2:02
C'est tout : 22 en tout.

Autres valeurs de étiquette à comparer

Interview 3 373Talking head 2 204Laptop 1 862Title card 1 824Tutorial 1 764Minimal 1 576Presenter 1 486Dark mode 1 476Transition 1 457Interior 1 313Office 1 221End card 1 195Close up 947Wordmark 898White background 881Cursor 846Glasses 799Chat interface 760Gesture 759Macro 747Outdoor 739Portrait 722Wide shot 702Dashboard 700