media-processor

To extract text and data from PDFs and images into Markdown, you can process multimedia content to convert documents, extract text, and summarize layouts. This handles complex visual layouts and outputs structured Markdown.

Yes, batch processing multiple media files for visual regression comparisons is supported. You can process multiple files with automated retry logic, model routing, and structured outputs in Markdown, JSON, or CSV formats.

To audit UI screenshots for colors, spacing, and typography, you perform image analysis to extract precise visual details and design tokens. This process reviews component hierarchy and visual elements from provided inputs.

Yes, you need a Gemini API key to analyze images and generate media. Integration with the Google Gemini API utilizes the gemai client, requiring you to configure your GEMINI_API_KEY via environment keys or a .env file.

The best way to convert office documents to clean Markdown is through media conversion workflows that apply precise visual analysis. This extracts text from images and standardizes multimedia content for development and QA tasks.

Yes, you can generate or edit images from text prompts or provided inputs using the Gemini API. This functionality analyzes existing visuals, extracts design tokens, and creates new media outputs based on your prompts.