diff --git a/ivy/functional/frontends/paddle/fft.py b/ivy/functional/frontends/paddle/fft.py
index 5ea418f5153e6..c25b9d9a3aed3 100644
--- a/ivy/functional/frontends/paddle/fft.py
+++ b/ivy/functional/frontends/paddle/fft.py
@@ -357,3 +357,22 @@ def rfftfreq(n, d=1.0, dtype=None, name=None):
     pos_max = n // 2 + 1
     indices = ivy.arange(0, pos_max, dtype=dtype)
     return indices * val
+
+
+@with_supported_dtypes(
+    {
+        "2.5.2 and below": (
+            "int32",
+            "int64",
+            "float32",
+            "float64",
+        )
+    },
+    "paddle",
+)
+@to_ivy_arrays_and_back
+def rfftn(x, s=None, axes=None, norm="backward", name=None):
+    """Compute the N-dimensional discrete Fourier Transform over any number of axes in
+    an M-dimensional real array by means of the Fast Fourier Transform (FFT)."""
+    x = ivy.asarray(x, dtype=ivy.complex128)
+    return ivy.rfftn(x, s=s, axes=axes, norm=norm)
diff --git a/ivy_tests/test_ivy/test_frontends/test_paddle/test_fft.py b/ivy_tests/test_ivy/test_frontends/test_paddle/test_fft.py
index 125e5d0857eb2..ba54bb0ac3c01 100644
--- a/ivy_tests/test_ivy/test_frontends/test_paddle/test_fft.py
+++ b/ivy_tests/test_ivy/test_frontends/test_paddle/test_fft.py
@@ -6,6 +6,7 @@
 from ivy_tests.test_ivy.helpers import handle_frontend_test
 from ivy_tests.test_ivy.test_functional.test_experimental.test_nn.test_layers import (
     _x_and_ifftn,
+    _x_and_rfftn,
 )
 
 
@@ -612,6 +613,29 @@ def test_paddle_rfftfreq(
     )
 
 
+@handle_frontend_test(
+    fn_tree="paddle.fft.rfftn",
+    dtype_and_x=_x_and_rfftn(),
+)
+def test_paddle_rfftn(
+    dtype_and_x, frontend, backend_fw, test_flags, fn_tree, on_device
+):
+    dtype, x, s, axes, norm = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=dtype,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        test_values=True,
+        x=x,
+        s=s,
+        axes=axes,
+        norm=norm,
+    )
+
+
 # Use the custom strategy for s and axes
 axes_strategy = sequence_of_two_integers()
 s_strategy = sequence_of_two_integers()