Use case

Image Pipeline & Cataloging

Upload product or editorial images, get back AI-generated captions, alt text, and taxonomy tags as structured JSON.

Who this is for

E-commerce ops, media libraries, DAM administrators

The problem

Thousands of images hit your catalog every week. Each needs a caption for SEO, alt text for accessibility, and category tags for search. Manual review caps out at about 50 images per person per day.

The flow

Drop images into File Input. The Image node uses Gemini vision (the file becomes a reference image with a captioning prompt) to produce captions, alt text, and taxonomy tags as JSON-formatted text. Output delivers the original image alongside its metadata, ready for your DAM to ingest. Resizing to a catalog spec is on the roadmap once the Image Resize node ships.

The outcome

Every image in your catalog gets rich, structured metadata you can ingest into your DAM in one pass.

Nodes used

File InputImage (Gemini vision)Output

More use cases

All use cases

Product Video AdsUpload a product photo, get back a video ad with generated copy and voiceover. One webhook call replaces your entire creative production queue.Narrated Explainer VideosGenerate a script, a hero scene visual, an ≤8-second clip, and full-length narration from one topic prompt on the canvas.Social Media Content PipelinePOST a creative brief via webhook, get back a generated hero image for the campaign. Multi-platform sizing is on the roadmap.

Generate your first video ad in 3 minutes.

Free to start. No credit card. Upload a product photo, connect your AI models, click Run.