diff --git a/src/colordetect/color_detect.py b/src/colordetect/color_detect.py
index ef1a98b..a51fce8 100644
--- a/src/colordetect/color_detect.py
+++ b/src/colordetect/color_detect.py
@@ -247,10 +247,16 @@ def _format_color(self, rgb_value, color_format: str):
                 ValueError
             ):  # Calculate distances between rgb value and CSS3 rgb colours to determine the closest
                 distances = {}
-                for k, v in webcolors.CSS3_HEX_TO_NAMES.items():
-                    r1, g1, b1 = webcolors.hex_to_rgb(k)
+                if hasattr(webcolors, "names"):
+                    color_names = webcolors.names(spec=webcolors.CSS3)
+                else:
+                    color_names = webcolors.CSS3_NAMES_TO_HEX
+
+                for color_name in color_names:
+                    r1, g1, b1 = webcolors.name_to_rgb(color_name, spec=webcolors.CSS3)
                     distances[((r0 - r1) ** 2 + (g0 - g1) ** 2 + (b0 - b1) ** 2)] = (
-                        v  # Ignore sqrt as it has no significant effect
+                        webcolors.rgb_to_name((r1, g1, b1), spec=webcolors.CSS3)
+                        # Ignore sqrt as it has no significant effect
                     )
                 nearest = distances[min(distances.keys())]
             return nearest
diff --git a/tests/test_unit.py b/tests/test_unit.py
index 5640ed4..de80c6f 100644
--- a/tests/test_unit.py
+++ b/tests/test_unit.py
@@ -6,6 +6,8 @@
 import os
 from pathlib import Path
 
+import cv2
+import numpy as np
 import pytest
 
 from colordetect import ColorDetect, VideoColor, col_share
@@ -38,6 +40,17 @@ def test_get_color_count_has_correct_color_and_count(image):
     assert user_image.get_color_count(color_count=1) == {"white": 100.0}
 
 
+def test_get_color_count_uses_nearest_human_readable_color(tmp_path):
+    """Ensure colors without exact CSS3 names use the nearest name."""
+    image_path = tmp_path / "swatch.png"
+    pixels = np.full((20, 20, 3), (30, 20, 10), dtype=np.uint8)
+    assert cv2.imwrite(str(image_path), pixels)
+
+    assert ColorDetect(str(image_path)).get_color_count(color_count=1) == {
+        "black": 100.0
+    }
+
+
 def test_image_saving(datadir, image):
     """
     Ensure the image is saved and arguments parsed are valid