diff --git a/ivy/functional/frontends/paddle/fft.py b/ivy/functional/frontends/paddle/fft.py
index 4355c8d954eef..4e559fe028591 100644
--- a/ivy/functional/frontends/paddle/fft.py
+++ b/ivy/functional/frontends/paddle/fft.py
@@ -68,6 +68,27 @@ def hfft(x, n=None, axis=-1, norm="backward", name=None):
     return ivy.real(result)
 
 
+@with_supported_dtypes(
+    {"2.5.1 and below": "complex64"},
+    "paddle",
+)
+@to_ivy_arrays_and_back
+def hfft2(x, s=None, axis=(-2, -1), norm="backward"):
+    # check if the input tensor x is a hermitian complex
+    if not ivy.allclose(ivy.conj(ivy.matrix_transpose(x)), x):
+        raise ValueError("Input tensor x must be Hermitian complex.")
+
+    fft_result = ivy.fft2(x, s=s, dim=axis, norm=norm)
+
+    # Depending on the norm, apply scaling and normalization
+    if norm == "forward":
+        fft_result /= ivy.sqrt(ivy.prod(ivy.shape(fft_result)))
+    elif norm == "ortho":
+        fft_result /= ivy.sqrt(ivy.prod(ivy.shape(x)))
+
+    return ivy.real(fft_result)  # Return the real part of the result
+
+    
 @with_supported_dtypes(
     {"2.5.1 and below": ("complex64", "complex128")},
     "paddle",
@@ -130,4 +151,4 @@ def rfftfreq(n, d=1.0, dtype=None, name=None):
     val = 1.0 / (n * d)
     pos_max = n // 2 + 1
     indices = ivy.arange(0, pos_max, dtype=dtype)
-    return indices * val
+    return indices * val
\ No newline at end of file
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 a03816f2f7151..1e0da8062c134 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
@@ -1,5 +1,5 @@
 # global
-from hypothesis import strategies as st
+from hypothesis import given, strategies as st
 
 # local
 import ivy_tests.test_ivy.helpers as helpers
@@ -107,6 +107,49 @@ def test_paddle_hfft(
     )
 
 
+@given(
+    s=st.one_of(
+        st.none(), st.tuples(st.integers(min_value=1), st.integers(min_value=1))
+    ),
+    axis=st.one_of(st.none(), st.tuples(st.integers(min_value=-2, max_value=-1))),
+    shape=st.lists(st.integers(min_value=1, max_value=10), min_size=2, max_size=2).map(
+        tuple
+    ),
+)
+@handle_frontend_test(
+    fn_tree="paddle.fft.hfft2",
+    dtype_x_axis=helpers.dtype_values_axis(
+        available_dtypes=helpers.get_dtypes("complex64"),
+    ),
+)
+def test_paddle_hfft2(
+    dtype_x_axis,
+    s,
+    axis,
+    norm,
+    frontend,
+    backend_fw,
+    test_flags,
+    fn_tree,
+    shape,
+):
+    input_dtypes, x, axis = dtype_x_axis
+    x = x.reshape(shape)  # reshape x to the generated shape
+
+    for norm in ["backward", "forward", "ortho"]:
+        helpers.test_frontend_function(
+            input_dtypes=input_dtypes,
+            frontend=frontend,
+            backend_to_test=backend_fw,
+            test_flags=test_flags,
+            fn_tree=fn_tree,
+            x=x,
+            s=s,
+            axis=axis,
+            norm=norm,
+        )
+
+
 @handle_frontend_test(
     fn_tree="paddle.fft.ifft",
     dtype_x_axis=helpers.dtype_values_axis(
@@ -241,4 +284,4 @@ def test_paddle_rfftfreq(
         test_values=True,
         n=n,
         d=d,
-    )
+    )
\ No newline at end of file