Waste recovery technologies targeting the formulation of edible ingredients such as insects, microorganisms, or proteins extracts, are increasingly promoted to mitigate global environmental impacts. Yet, many conversion pathways exist, and little is known about the plausibility, the implications, and the environmental relevance of deploying them: a comparative modeling approach is missing. To this end, we reviewed the available data and literature documenting these emerging biorefineries and compiled it into six harmonized life cycle inventory (LCI) models estimating the forecasted performances of 16 representative “waste-to-nutrition” pathways in function of 18 input stream characteristics and 293 technological parameters. Illustrated on eleven case studies, the results quantify the untapped potential of transforming waste into novel food and feed and unravel the intrinsic trade-offs between their energy intensity, their yield and the biochemical composition of input streams. We show that several scenarios are possible to achieve France’s protein feed autonomy by scaling and combining different waste-to-nutrition pathways, but that each scenario would lead to different consequences on energy systems and on bioresources’ mobilization requirements. As provided, the LCI models capture the implications associated with these waste recovery technologies and are ready to support their prospective life cycle assessment.