This project demonstrates how to use a visual recognition large language model within Pages functions to identify text in images. The underlying model is based on Tencent's HunYuan large language model, which can be easily swapped out with other large language models using environment variables.
More Templates: EdgeOne Pages
Live Demo: https://functions-ocr.edgeone.app
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Inter, a custom Google Font.
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
This project was inspired by llama-ocr. Go check them out!