How DEPICT Works
DEPICT uses vision-language AI models to analyze your uploaded images and reverse-engineer them into detailed prompts. Think of it as teaching an AI to describe what it sees in a way that another AI could recreate it.
Research-Based Prompting
Each prompt style in DEPICT is built on researched guidelines and best practices specific to that generator or use case. Whether you're targeting video generators like Kling and Veo, or need structured output for other workflows, the system prompts have been crafted to follow the conventions and syntax that work best for each platform.
Beyond Prompts
DEPICT isn't just for AI image generation. The Keywords style is perfect for data classification and metatagging, ideal for stock photo contributors who need to tag their uploads. The Alt Text generator was added to help promote a more accessible internet by creating meaningful image descriptions for screen readers.
The Analysis Process
When you upload an image, the AI examines multiple aspects: composition, subject matter, lighting, color palette, artistic style, mood, and technical details. It then translates these observations into output optimized for your selected format.
Continuous Improvement
As AI generators evolve and new best practices emerge, I update the system prompts to keep pace. This is an ongoing project, and the methodology improves as I learn what works and what doesn't.
Built by a Non-Coder
Here's the fun part: this entire project was vibecoded using Antigravity and Claude Code by someone who doesn't know how to code. The future is wild.
The Tech Behind It
DEPICT is powered by state-of-the-art vision-language models accessed via API. Your image is sent to the AI, analyzed in real-time, and the response is streamed back to you. No images are stored on my servers.