How it works

Integrating Advanced LLM Technology with Specialized Engineering Solutions

⭐️ GerberGPT is an advanced AI-powered platform designed to streamline PCB schematic and layout design using natural language. It eliminates the need for users to engage with traditional CAD tools throughout the design process. By leveraging large language models, such as Claude Sonnet or DeepSeek, GerberGPT understands user specifications and seamlessly translates them into design requirements. The core AI model is specifically tailored for precision in electronics engineering.

With access to a comprehensive database of over 1.7 million components and around 20 million component parameters, GerberGPT also integrates a vast array of schematic datasets, component footprints, and diverse PCB layouts. This allows engineers to significantly reduce the preparatory work traditionally required before starting a PCB design.

So, in this innovative user interaction model, how can you use GerberGPT to design a PCB product?

Create a Project

First, we tell the robot that I need to create a PCB project, and it automatically creates the corresponding files, such as schematic files and PCB Layout files. Afterward, it will ask you whether you need to set basic parameters or design rules.

Ideas to a Schematic

Next, we can configure project parameters through natural language commands, including measurement units (metric or imperial), PCB layer stackup, board dimensions, maximum and minimum trace widths, clearance requirements, and other design rule constraints. All configuration changes are automatically preserved in the project file until the project is either terminated or a new design is initiated.

After completing the basic setup, you can simply describe your idea, which can be very broad or naive, for example: "I want to design a speaker that can run," or it can be very professional: "I want to design a video converter based on the Xilinx XC6SLX9 FPGA." Both types of prompts can be understood by the AI, which will generate a potential schematic concept that we will continuously refine in subsequent steps.

Fine-tuning schematic

GerberGPT has a ability to let users adjust component part numbers and parameters in a schematic. In practical applications, it needs to address various complex real-world situations, such as cost considerations, component grades, and inventory situations. Therefore, we can change components through prompts, for example: replace U13 with STM32F103C8T6, and leave the rest to AI.

Additionally, GerberGPT will adjust component packages based on pre-trained data and the user's earlier design requirements, for example: replacing all resistors with the 0402 footprint. Although this type of operation can also be done in batch in traditional CAD software, the subsequent Layout adjustment work is quite time-consuming. Now, everything else is left to AI.