find-high-speed-nets

Identify high-speed nets in a KiCad PCB by cross-referencing component datasheets with AI to classify nets by speed tier and estimate maximum frequencies. The tool analyzes interfaces like DDR, USB, and HDMI to automatically map components to their respective nets.

AI datasheet lookup classifies PCB nets by speed tier by analyzing component footprints and datasheet specifications to estimate max frequencies and rise times. This process categorizes nets into ultra-high, high, medium, and low speed tiers for signal integrity optimization.

You can automatically generate GND via recommendations for high-speed signals by running an AI-assisted net analysis on your KiCad board. The analysis evaluates estimated frequencies and rise times to provide a structured report with recommended GND return via distances.

The best way to analyze signal integrity for DDR and SPI interfaces is using an AI-driven PCB analysis tool that estimates max frequencies and labels nets by speed tier. This approach labels DDR nets as ultra-high and SPI nets as medium, suggesting a GND via plan.

KiCad PCB analysis works with Ethernet and HDMI high-speed interfaces by using AI to look up component datasheets and map interface nets. It estimates maximum frequencies and rise times for these interfaces to recommend appropriate GND return via distances.

Estimate rise times and max frequencies for nets on your PCB by loading your KiCad board file into an AI-assisted high-speed net analyzer. The tool cross-references component datasheets to generate a structured report with per-interface frequency and rise time estimates.