What is Img2html?
IMG2HTML is an AI‑powered converter that transforms images, screenshots, or website URLs into clean, responsive HTML and CSS code. The tool automatically generates code for standard HTML, CSS, Tailwind CSS, ReactJS, VueJS, and AngularJS frameworks, allowing developers, designers, students, and marketing teams to replicate designs without manual coding.
OCR functionality extracts and preserves text and styling from images, while a component exporter turns designs into ready‑to‑use React, Vue, or Angular components. Users can clone entire sites by providing a URL, generate up to five AI‑created images per credit, and edit the resulting code in an integrated editor.
The platform offers a Chrome extension that captures and converts page elements directly from any browser on Windows, macOS, or Linux. An API endpoint lets teams automate conversions within existing workflows, supporting file uploads via multipart/form‑data or cURL requests.
Img2html pricing Freemium
Verify on the official pricing page.
View plansImg2html user reviews
Based on 1 review, 0.0% of users recommend Img2html.
Disliked for
Would you recommend Img2html?
Img2html's key features
-
Image to responsive HTML & CSS conversion
-
URL cloning for full website code
-
Component exporter to React, Vue, Angular
-
OCR text recognition preserving styles
-
AI-generated website images up to 5
-
Tailwind CSS integration support
Img2html use cases
-
Create a responsive product showcase grid by converting a design screenshot into clean standard HTML/CSS via IMG2HTML’s Chrome extension, eliminating the need for manual coding
-
Clone an entire competitor’s landing page into a reusable React component library using the IMG2HTML API, enabling instant deployment and rapid A/B testing without touch of code
-
Extract and transform text from scanned brochures or PDFs via OCR, then export the content as well‑structured Vue components ready for localization and SEO optimization
Who is it for?
-
Web designers
-
Web developers
-
Digital creators
-
Ui designers
-
Automation engineers