Text2CADTranslation site

What is Text2CAD

Text2CAD is an AI-driven CAD from the cad.blue platform.Modeling ToolsThe core function is to transform natural language text descriptions into editable 3D CAD models, supporting parametric design, multi-software compatibility and real-time collaboration. Through deep learning and multimodal technology, it significantly reduces the design threshold and improves efficiency, and is suitable for industrial design, architecture, education and other fields.

Text2CAD Core Features

1. natural language modeling (NLM)
   • Supports multi-level text descriptions (e.g., "Generate two concentric cylinders" or "Draw a circle with center (x,y) and radii r₁, r₂, extruding d mm in the normal direction") to automatically generate parametric 3D models.
   • Covering the full range of requirements from abstract descriptions to detailed parameterized instructions, adapted to users of different skill levels.
2. cross-platform compatibility
   • The generated model can be seamlessly imported into AutoCAD, SolidWorks and other mainstream CAD software, supporting subsequent editing and optimization.
   • Directly compatible with 3D printing and IoT device design to promote smart manufacturing and personalized production.
3. Real-time collaboration and feedback
   • Supports multi-person online collaborative editing, combined with real-time rendering technology, to realize the "WYSIWYG" design experience.
   • Users can interact with the system through natural language to quickly generate design sketches and further modify them.

Text2CAD Usage Scenarios

1. Industrial Design and Manufacturing
   • Quickly generate part or assembly models to shorten the design cycle. For example, if an engineer enters "Design a gear with anti-skid pattern", the system automatically generates a 3D model that meets engineering standards.
2. Architecture and Interior Design
   • Generate building structure or interior layout plans, support real-time modification and visualization verification. For example, input "design a living room with floor-to-ceiling windows, area 30 square meters", the system generates a complete model including furniture placement, lighting analysis.
3. Education and training
   • Beginners can quickly grasp the logic of CAD modeling through natural language interactions without the need for complex software operations. For example, if a student inputs "draw a hexagonal prism", the system gradually generates sketches and stretches to assist in understanding the 3D modeling process.

Text2CAD Operating Instructions

1. text input
   • Input design requirements (e.g., "Generate a cell phone holder") into the platform interface, with support for multi-level text descriptions (from abstract to detailed parameterized instructions).
2. Model Generation
   • The system transforms textual descriptions into editable 3D CAD models through NLP and geometric modeling techniques, supporting real-time visual verification.
3. Export and Collaboration
   • Generated models can be exported to mainstream CAD formats (e.g. DWG, DXF) or edited collaboratively with team members directly within the platform.

Why Text2CAD is recommended

1. Efficiency and Accuracy
   • Reduce traditional manual modeling time from hours to seconds, especially for repetitive or standardized design tasks.
   • Ensure model quality and editability through geometric alignment evaluation and parametric modeling.
2. Intelligence and Scalability
   • Integrate LLM and VLM technology to realize intelligent conversion from text to CAD, and support the combination with 3D printing, Internet of Things and other technologies.
   • Open APIs and developer tools to support third-party expansion of functionality and application scenarios.
3. User Experience Optimization
   • Natural language interaction reduces the learning threshold and real-time visualization improves design efficiency.
   • Supports multi-person collaboration and cloud storage to promote team design and knowledge sharing.
4. Industry Application Potential
   • Demonstrate high value in industrial design, architecture, education and other fields, and promote automation and intelligence of the design process.
   • In the future, it can be expanded to interdisciplinary fields such as healthcare and art to support customized design and creative production.