Chandra is a high-precision OCR model that can convert images and PDFs into structured outputs, such as Markdown, HTML, and JSON, while retaining detailed layout information. It supports more than 40 languages and is good at handling complex document elements.

MultimodalTransformersEnglish

Chandra is an advanced OCR model that can extract text from images and PDFs with high precision and preserve layout information. It supports output in Markdown, HTML, and JSON formats and performs excellently in handwriting recognition, form reconstruction, table processing, etc. It supports more than 40 languages.

MultimodalTransformers

UIGENT-30B-Lora-200 is a large language model fine-tuned based on Qwen3-Coder-30B-A3B-Instruct. It is specifically optimized for text generation tasks and is particularly good at handling HTML-related content. It also has various text generation capabilities.

Natural Language ProcessingTransformers

WEBGEN DEVSTRAL IMAGES is an AI model focused on web page generation. It can generate single-page web pages using HTML, CSS, JS, and Tailwind technologies. This project is trained based on custom templates and uses the supervised fine-tuning method, training with a dataset generated by GPT-OSS-120B.

Natural Language ProcessingTransformersEnglish

UIGEN-FX-4B-Preview is a UI generation model with 4 billion parameters, specifically optimized for front-end development. It can perform like a front-end engineer in 22 frameworks. This model focuses on generating semantic HTML code, with excellent layout rhythm, spacing control, and component combination capabilities, suitable for quickly generating single-file web pages.

Natural Language ProcessingTransformersEnglish

This is a quantized version of Tesslate/WEBGEN-4B-Preview, focusing on generating single-file websites and capable of transforming prompts into concise, responsive HTML/CSS/Tailwind code. The model is small and suitable for local operation and rapid iteration, with features such as open weights, mobile-first output, and no external JS by default.

Natural Language ProcessingTransformersEnglish

Schematron-8B is a long context extraction model launched by Inference.net, focusing on converting noisy HTML into clean, typed JSON that conforms to custom schemas. This model can handle lengthy HTML with up to 128K tokens and output valid JSON data that 100% conforms to the specified JSON schema.

Natural Language ProcessingTransformers

Schematron-3B is a long context extraction model launched by Inference.net, focusing on converting noisy HTML into clean, typed JSON that conforms to custom schemas. This model is specifically trained for web scraping, data ingestion, and converting arbitrary pages into structured records, providing an efficient solution for data processing and analysis.

Natural Language ProcessingTransformers

SLANeXt_wired is a deep learning model for table structure recognition, which can convert non - editable table images into editable table formats (such as HTML).

SLANet is a model for table structure recognition that can convert non-editable table images into editable table formats (such as HTML).

SLANet_plus is a model for table structure recognition that can convert non-editable table images into editable table formats (such as HTML). It plays an important role in the table recognition system and can effectively improve the accuracy and efficiency of table recognition.

SLANeXt_wireless is a model for table structure recognition, which can convert non - editable table images into editable HTML format.

UIGEN-T2 is a UI generation model fine-tuned from Qwen2.5-Coder-7B-Instruct, specializing in generating HTML and Tailwind CSS code

Natural Language ProcessingGguf

ViCoder-HTML-32B-preview is a powerful AI model specifically designed for generating complete websites, including HTML, Tailwind CSS, and JavaScript code.

Natural Language ProcessingGgufOther

ViCoder-html-32B Preview is a preview model developed by VicharAI, specializing in HTML/CSS/JS code generation. It is fine-tuned based on Qwen2.5-Coder-32B-Instruct and excels at quickly generating single-page website code sketches.

Natural Language ProcessingTransformersMultiple Languages

An advanced UI generation model fine-tuned based on Qwen2.5-Coder-7B-Instruct, excelling in generating modern and visually appealing HTML/CSS code.

Natural Language ProcessingTransformersEnglish

A web development and structured coding logic model based on the Qwen 2.5 14B architecture, excelling in HTML/CSS/Tailwind development and complex instruction execution.

Natural Language ProcessingTransformersEnglish

UIGEN-T1.1 is a 14-billion-parameter Transformer model fine-tuned based on Qwen2.5-Coder-14B-Instruct, specifically designed for reasoning-based UI generation, excelling in generating HTML and CSS UI components.

Natural Language ProcessingTransformersMultiple Languages

A multimodal table recognition model based on InternVL2-1B, supporting conversion of table images to LaTeX/HTML/Markdown formats

MultimodalSafetensorsMultiple Languages

An HTML pruning model designed for RAG systems where HTML is more suitable than plain text for modeling retrieval results

Natural Language ProcessingTransformersEnglish