diff --git a/src/morphoclass/vis.py b/src/morphoclass/vis.py
index 2b7e45c..6dc0fdd 100644
--- a/src/morphoclass/vis.py
+++ b/src/morphoclass/vis.py
@@ -329,7 +329,7 @@ def plot_accuracies(
     file_name : str, pathlib.Path, optional
         Path to where to store the plot.
     supported_ext : list, optional
-        Supported image extensions. If default, it will save as ".png", ".eps", ".pdf".
+        Supported image extensions. If default, it will save as ".png", ".svg", ".pdf".
 
     Returns
     -------
@@ -355,11 +355,10 @@ def plot_accuracies(
 
     ax.grid(color="gray", linestyle=":", linewidth=1)
     ax.legend()
-    ax.set_rasterized(True)
     fig.suptitle(title)
     if file_name:
         if not supported_ext:
-            supported_ext = [".png", ".eps", ".pdf"]
+            supported_ext = [".png", ".svg", ".pdf"]
         for ext in supported_ext:
             fig.savefig(file_name.with_suffix(ext))
 
@@ -415,19 +414,18 @@ def plot_confusion_matrix(cm, file_name, labels, supported_ext=None):
     labels : list
         List of labels for prediction.
     """
-    fig = Figure(dpi=75)
+    fig = Figure(dpi=300)
     ax = fig.subplots()
 
     sns.heatmap(cm, annot=True, ax=ax, xticklabels=labels, yticklabels=labels)
     ax.invert_yaxis()
     ax.set_xlabel("Predicted Label")
     ax.set_ylabel("True Label")
-    ax.set_rasterized(True)
     fig.tight_layout()
 
     if file_name:
         if not supported_ext:
-            supported_ext = [".png", ".eps", ".pdf"]
+            supported_ext = [".png", ".svg", ".pdf"]
         for ext in supported_ext:
             fig.savefig(file_name.with_suffix(ext))
     return fig
@@ -630,7 +628,7 @@ def plot_number_of_nodes(
         The figsize for the matplotlib figure.
     supported_ext : list, optional
         The extensions to store the images. By default it will store them
-        as ".png", ".eps", ".pdf".
+        as ".png", ".svg", ".pdf".
 
     Returns
     -------
@@ -679,13 +677,12 @@ def plot_number_of_nodes(
             ax.tick_params(axis="both")
 
         ax.tick_params(axis="x", labelrotation=45)
-        ax.set_rasterized(True)
         # fig.tight_layout()
 
         image_path = imagedir / f"number_of_nodes_{rtype.replace(' ', '_')}_{k}"
         if image_path:
             if not supported_ext:
-                supported_ext = [".png", ".eps", ".pdf"]
+                supported_ext = [".png", ".svg", ".pdf"]
             for ext in supported_ext:
                 fig.savefig(image_path.with_suffix(ext))
 
@@ -717,7 +714,7 @@ def plot_number_of_nodes_per_layer(
         The figsize for the matplotlib figure.
     supported_ext : list, optional
         The extensions to store the images. By default it will store them
-        as ".png", ".eps", ".pdf".
+        as ".png", ".svg", ".pdf".
 
     Returns
     -------
@@ -770,14 +767,13 @@ def plot_number_of_nodes_per_layer(
                     )
                 ax.tick_params(axis="both")
                 # fig.tight_layout()
-                ax.set_rasterized(True)
 
         image_path = (
             imagedir / f"number_of_nodes_{rtype.replace(' ', '_')}_per_layer_{k}"
         )
         if image_path:
             if not supported_ext:
-                supported_ext = [".png", ".eps", ".pdf"]
+                supported_ext = [".png", ".svg", ".pdf"]
             for ext in supported_ext:
                 fig.savefig(image_path.with_suffix(ext))