Начало > Приложения > Инструменти за разработчици
Screenshot to Code

Screenshot to Code

Издадено от: 韵华软件
Licence: Безплатно

Екранни снимки:

Минимални
ОС
Архитектураx86,x64,ARM,ARM64
Препоръчителни
ОС
Архитектураx86,x64,ARM,ARM64

Описание

"Screenshot to Code": The Intelligent AI Tool for Transforming Design Images into Code Overview: "Screenshot to Code" offers designers and front-end developers a revolutionary solution that effortlessly transforms design screenshots into practical code. This application incorporates cutting-edge AI technology to analyze image content and automatically generate code snippets in programming languages such as HTML, CSS, JavaScript, and more, significantly enhancing the efficiency of turning designs into prototypes. Key Features: Multi-language Compatibility: Generates code for HTML, CSS, JavaScript, Vue, WPF, UWP, WinForms, Tailwind CSS, Bootstrap, and more. Intuitive User Interface: User-friendly design makes it easy for users to upload images and select the type of code to generate. Rapid Conversion and Preview: Analyzes and displays code immediately after image upload, with the ability to preview the code effects. Easy Save Function: After generating code, users can effortlessly save it to a file. Usage Guide: Before using "Screenshot to Code", set up your OpenAI API key by clicking the settings button, as shown in the uploaded screenshot. This step is crucial for enabling the AI-powered code generation. Upon entering the application, the interface is divided into an image upload zone and a code generation preview zone. Select the desired code type from the top menu, with multiple formats supported, including html_css_js, vue_html, wpf_xaml, uwp_xaml, winform, html_tailwindcss_js, html_bootstrap_js, and others. Upload the design image by clicking or dragging. After uploading, the app quickly analyzes the image and displays the code in the preview area. The generated code can be edited directly in the preview area and saved to a file using the provided features. Notes: Ensure that the uploaded images are clear for accurate AI recognition. Although the AI-generated code is highly optimized for accuracy and practicality, manual adjustments may be necessary to fully meet project requirements.


Хората харесват също

Python 3.11
Python 3.11
Безплатно
Python 3.9
Python 3.9
Безплатно
DBeaver CE
DBeaver CE
Безплатно
NuGet Package Explorer
NuGet Package Explorer
Безплатно
XML Validator
XML Validator
Безплатно
Simple HTTP Server
Simple HTTP Server
Безплатно
Java for everyone
Java for everyone
Безплатно
Telerik UI for WPF Examples
Telerik UI for WPF Examples
Безплатно
PowerShell Preview
PowerShell Preview
Безплатно
SQLPro for MSSQL
SQLPro for MSSQL
Безплатно

рецензии

членове

за Screenshot to Code
Advertisement
Top изтегляне
Популярни отскоро приложения
Топ оценени приложения
We use cookies and other technologies on this website to enhance your user experience.
By clicking any link on this page you are giving your consent to our Privacy Policy and Cookies Policy.