Motivated by the availability of 20,000 line-km of airborne electromagnetic (AEM) data covering the Central Valley of California, we developed a workflow that uses resistivity profiles from electromagnetic (EM) data to assess the suitability of areas for groundwater recharge. We defined a suitable area as one where “fastpaths” of coarse-grained material could efficiently move water from the ground surface to the water table. We defined recharge metrics and generated the corresponding maps by integrating resistivity profiles from AEM data, sediment type (from driller’s logs), water level measurements, and water quality measurements. The workflow is publicly available through a web-based application, fastpath (https://fastpath.stanford.edu). We produced maps displaying recharge metrics on a 400 m x 400 m grid covering the Central Valley, with 80% of the cells sufficiently close to an AEM resistivity profile (within ~ 3 km) to be assessed for recharge. Various decisions are made in the workflow that result in a range of values for determined metrics at any given location. The maps summarizing all metrics show that between 19% (2,000,000 acres) and 56% (7,000,000 acres) of the total area in the valley is land suitable for recharge. The landcover with the largest total area of land classified as suitable is cultivated crops. We estimated the total space available for recharge water to be ~170 km³ which is two orders of magnitude greater than an estimate of the total volume of water likely to be available for recharge.