description-generator
Generate multi-language product descriptions from images using AI.
Create multi-language ecommerce descriptions from product photos using Llama 3.2 Vision.
This is an open-source Next.js demo that analyzes product images to generate detailed descriptions in multiple languages. It is built for photographers and ecommerce sellers looking to automate product copywriting using vision AI models.
What it is
The tool accepts a product photo upload and passes it through Meta's Llama 3.2 Vision model via Together AI inference. It outputs comprehensive product copy suited for online stores, removing the manual effort of writing descriptions from scratch.
Who it's for
It suits ecommerce photographers and store owners who want to test AI-driven copywriting workflows. It does not suit users looking for a standalone desktop application or those without API access.
Key features
Vision AI processing
Upload product photos to generate descriptions automatically.
Multi-language output
Translate product details into different languages via Llama 3.2.
S3 image storage
Integrates with AWS S3 for managing uploaded product images.
Up and running in 3 steps
Our honest verdict
What's great
- Uses Llama 3.2 Vision for image comprehension
- Generates multi-language copy from a single photo
- Built with Next.js app router and Tailwind CSS
- Includes Plausible website analytics integration
Where it falls short
- Requires a paid Together AI API key to function
- Needs an AWS S3 bucket configured for image storage
- Requires manual environment variable setup
Pricing & license
The code is free to download and run, but you will need a Together AI API key and an AWS S3 account, both of which incur their own usage costs.
Open remote AI-training roles
873 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
Which AI model powers this tool?
It uses Meta's Llama 3.2 Vision accessed through Together AI.
What storage does the application use?
It relies on AWS S3 for storing uploaded product images.
