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Background: In the context of the increasing circulation of arboviruses, a simple, fast and reliable identification method for mosquitoes is needed. Geometric morphometrics have proven useful for mosquito classification and have been used around the world on known vectors such as <i>Aedes albopictus</i>. Morphometrics applied on French indigenous mosquitoes would prove useful in the case of autochthonous outbreaks of arboviral diseases. Methods: We applied geometric morphometric analysis on six indigenous and invasive species of the <i>Aedes</i> genus in order to evaluate its efficiency for mosquito classification. Results: Six species of <i>Aedes</i> mosquitoes (<i>Ae. albopictus</i>, <i>Ae. cantans</i>, <i>Ae. cinereus</i>, <i>Ae. sticticus</i>, <i>Ae. japonicus</i> and <i>Ae. rusticus</i>) were successfully differentiated with Canonical Variate Analysis of the Procrustes dataset of superimposed coordinates of 18 wing landmarks. Conclusions: Geometric morphometrics are effective tools for the rapid, inexpensive and reliable classification of at least six species of the <i>Aedes</i> genus in France.