AI Image Describer (Alt Text & Captions)
One photo in — alt text, SEO copy, hashtags and a ready-to-post caption out
What is this image for?
We order and tune the copy for your goal — everything is still included.
AI is studying your image…
Frequently asked questions
What's good alt text and why does it matter?
Alt text describes an image for people using screen readers and for search engines. Good alt text is factual, under ~125 characters and skips phrases like “image of”. It improves accessibility and image-SEO at the same time — this tool follows those rules automatically.
Is my photo stored or used for training?
No. The resized image is analyzed in memory and discarded; only the generated text exists afterwards. Nothing is stored, shared or used for training.
Which languages are supported?
The copy is generated in the language you're browsing the site in — including Chinese, English, Japanese, Korean, Spanish, French, German, Portuguese and Russian. Hashtags mix your language with high-reach English tags.
Captions that describe, translate and hashtag
One upload returns an accurate description, alt-text for accessibility, and matching hashtags in the language you choose.
Seven Outputs Per Photo
One upload returns alt text, an SEO title, a meta description, keywords, hashtags and a ready-to-post social caption — a full publishing kit for a single image.
Vision Plus Writing Models
LLaVA reads the image first, then a writing model phrases the copy naturally in your language — the description and the final wording come from separate, specialized steps.
Accessibility Built In
The alt text stays factual and under 125 characters, so screen-reader users get a real description instead of a keyword-stuffed paragraph.
What the vision model evaluates
The image is analyzed by a multimodal LLM instructed to answer four things in order:
- Scene description — subjects, actions, setting and lighting in one natural sentence (used verbatim as alt-text).
- Detail tags — objects and attributes worth searching for.
- Mood/style read — professional shot vs snapshot, warm vs cool palette, so hashtags match tone not just content.
- Localized caption — rendered in any of the site's 11 interface languages, not just English.
Long images are downscaled to 1024 px before analysis; EXIF is stripped first, so no location data leaves your device. The report ends with copy buttons for each block.
How it works
- 1
Drop any image — it's resized in your browser before analysis.
- 2
Tell us what it's for (website, social, store) and let the AI study it.
- 3
Copy alt text, SEO copy, hashtags or the ready-made post — each with one tap.
Related tools
What Is an AI Image Describer?
An AI image describer looks at a photo and writes all the text you need to publish it: accessibility alt text, an SEO title and meta description, keywords, hashtags and a ready-to-post social caption — written in your language. This tool runs a two-stage pipeline: a vision model reads the image, then the site language model turns that description into a structured, localized report. It is for bloggers, online shops and social media managers who publish images every day. The vision model reads the image first and the writing model then phrases the copy naturally in your language, so the result reads human rather than mechanical.
What this tool can do
- ♿ Alt text for accessibility, screen readers and image SEO
- 🔍 SEO title and meta description for blog and product pages
- 🏷️ Keywords relevant to the image content
- #️⃣ Hashtags ready for social media
- 📝 A ready-to-post caption for your platform
- 🌐 The copy is written in your language
When you would use it
- You publish product photos and need alt text for every one
- You write blog posts and need SEO copy for the images
- You schedule social posts and need captions and hashtags fast
- You maintain a site and want images to appear in image search
Your image is analyzed by an AI vision model, and the description is turned into localized copy by the site language model; the job consumes a small number of credits per image. The image is processed for the analysis and not kept afterward. Two honest notes: the AI describes what it sees — a blurry or ambiguous photo produces weaker copy — and for a shop, feeding it your product real name and features gives noticeably better results than a bare photo.
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