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Digital Psychotherapy for Depression in Children and Adolescents: Evidence-Based Efficacy, Conditions and Recommendations for Clinical Practice Depressive disorders in childhood and adolescence are among the most common mental disorders, often follow a recurrent course, and are associated with substantial individual, social, and economic consequences. Against the background of limited treatment success and multiple barriers to help-seeking, digital psychotherapeutic interventions are increasingly being discussed as a potentially low-threshold and scalable addition to routine care. Based on 13 meta-analyses, this article provides a narrative overview of the effectiveness of digital interventions for depressive symptoms and disorders in children and adolescents and situates these findings within relevant ethical, legal, and clinical practice frameworks. Overall, the evidence suggests predominantly small to moderate effects, particularly for cognitive behavioral therapy-based and guided self-management interventions. However, the interpretability of these findings is limited by the heterogeneity of interventions, predominantly subclinical samples, methodological shortcomings, and the limited evidence on adverse effects. For AIbased and especially large language model (LLM)-based applications, the evidence remains very limited, while ethical and legal requirements are particularly demanding. In Germany, no reimbursable digital health applications are currently available for minors with depressive disorders. Digital interventions may meaningfully complement care, but their use requires careful evaluation of effectiveness, safety, data protection, and clinical suitability.