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Logging wastes from sustainable forest management in Amazon are promising for bioenergy; however, highly heterogeneous technological properties limit their proper application. This paper sought to study the potential of colorimetry in the segregation of logging wastes for bioenergy in Brazilian Amazon. Branches of twenty forest species were sampled at the Forest Management Area Rio Capim, Pará, Brazil. Analyses of the wood physical, chemical, energy, and colorimetric properties (CIEL∗a∗b∗ system) were performed. Our study detected relevant variations for basic density (0.525–0.895 g cm−3); energy density (10.2–18.2 GJ m−3); total extractives (1.8–17.9%); total lignin (30.2–38.1%); lightness (39–63); green/red axis (5–11); blue/yellow axis (9–23); color saturation (13–25), and hue angle (45–74). The parameters L∗, b∗, C, and h∗ presented negative relations with BD and ED. The most promising wood group (Manilkara elata and Dinizia excelsa) for bioenergy formed by principal component analysis presented darker (purplish-brown) and densest woods (0.895 and 0.891 g cm−3), in addition to greater stored energy (17.8 and 18.2 GJ m−3). Thus, this research proved that colorimetry has a high potential to segregate logging wastes for the production of chips and charcoal. • Logging wastes from sustainable forest management is a renewable energy source in Amazon. • Logging wastes with higher red pigmentation have higher energy density. • Purplish brown woods have high potential to produce bioenergy due to high energy density. • The colorimetry is a potential tool for segregating logging wastes for energy purposes. • Lower hue angle refers to redder and denser logging wastes. [ABSTRACT FROM AUTHOR]