The AI sees
what is actually in the shot.
Most AI tools write a caption from a keyword. capty looks at your image or video first: subject, setting, people, mood, composition. The text comes after that, which is why it matches what is actually on screen.
That moment right before the sun goes, when nobody says anything.
Illustrative example. The interface shown and the values in it are for illustration.
The problem
A text generator that has not seen your image can only guess. It produces sentences that would fit a thousand other photos equally well, and they read exactly like that.
What that means in practice
Four things that make the difference day to day.
Objects and scenes
The analysis picks up what is in the frame: products, people, rooms, landscapes, actions. Those details end up in the text instead of it staying generic.
Mood and visual tone
A calm landscape shot and a busy event clip call for different registers. capty tells them apart and adjusts the tone.
Video too
Videos are not judged by their thumbnail alone. The analysis looks at how the clip unfolds, so the caption fits what happens later in it as well.
German and English
The analysis is language-agnostic; the output is not. You get text in the language you publish in.
How it works
Upload
Drop an image or video into capty. Several files at once works too.
Analyse
capty reads the material and notes what is visible and how it comes across.
Write
The caption comes out of the visual content, your brand voice and the target platform.
Frequently asked questions
Which file formats are supported?
The common image and video formats the platforms themselves accept, including JPG, PNG, WebP, MP4 and MOV.
Are my images used to train the AI?
No. The analysis runs through paid programming interfaces whose terms exclude using submitted content for training. The details are in our privacy policy.
Does capty read text in the image?
Yes. Labels, signs or product names in the image feed into the analysis when they are legible.
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