diff --git a/docs/ops/condition/NonZero_3.md b/docs/ops/condition/NonZero_3.md
index acf75ae0886684..44bd96690ddba4 100644
--- a/docs/ops/condition/NonZero_3.md
+++ b/docs/ops/condition/NonZero_3.md
@@ -29,7 +29,7 @@ The output tensor has shape `[rank(input), num_non_zero]`. For example, for the
 
 **Types**
 
-* *T*: any numeric type.
+* *T*: any type.
 
 * *T_IND*: `int64` or `int32`.
 
diff --git a/ngraph/core/src/op/non_zero.cpp b/ngraph/core/src/op/non_zero.cpp
index 19e52f77fe98db..1e11aad1b2aa59 100644
--- a/ngraph/core/src/op/non_zero.cpp
+++ b/ngraph/core/src/op/non_zero.cpp
@@ -48,12 +48,7 @@ void op::v3::NonZero::validate_and_infer_types()
 {
     NGRAPH_OP_SCOPE(v3_NonZero_validate_and_infer_types);
     const PartialShape& input_shape = get_input_partial_shape(0);
-    const auto input_et = get_input_element_type(0);
 
-    NODE_VALIDATION_CHECK(this,
-                          input_et.is_integral_number() || input_et.is_real(),
-                          "NonZero input data type needs to be a numeric type. Got: ",
-                          input_et);
     NODE_VALIDATION_CHECK(this,
                           m_output_type == element::i64 || m_output_type == element::i32,
                           "Output type must be i32 or i64");
@@ -154,6 +149,7 @@ namespace nonzero
 
         switch (input->get_element_type())
         {
+            NGRAPH_TYPE_CASE(evaluate_nonzero, boolean, input, output);
             NGRAPH_TYPE_CASE(evaluate_nonzero, i8, input, output);
             NGRAPH_TYPE_CASE(evaluate_nonzero, i16, input, output);
             NGRAPH_TYPE_CASE(evaluate_nonzero, i32, input, output);
diff --git a/ngraph/frontend/onnx_import/src/op/compress.cpp b/ngraph/frontend/onnx_import/src/op/compress.cpp
index f7658a5e7aafb2..0cb7b77f442fee 100644
--- a/ngraph/frontend/onnx_import/src/op/compress.cpp
+++ b/ngraph/frontend/onnx_import/src/op/compress.cpp
@@ -19,8 +19,7 @@ namespace ngraph
                 OutputVector compress(const Node& node)
                 {
                     auto data = node.get_ng_inputs().at(0);
-                    auto condition = std::make_shared<default_opset::Convert>(
-                        node.get_ng_inputs().at(1), element::u8);
+                    auto condition = node.get_ng_inputs().at(1);
 
                     int64_t axis = 0;
                     if (node.has_attribute("axis"))
diff --git a/ngraph/frontend/onnx_import/src/op/non_zero.cpp b/ngraph/frontend/onnx_import/src/op/non_zero.cpp
index 5f580111e0d9aa..1798d12ba1f40a 100644
--- a/ngraph/frontend/onnx_import/src/op/non_zero.cpp
+++ b/ngraph/frontend/onnx_import/src/op/non_zero.cpp
@@ -18,10 +18,6 @@ namespace ngraph
                 OutputVector non_zero(const Node& node)
                 {
                     auto data = node.get_ng_inputs().at(0);
-                    if (data.get_element_type() == element::boolean)
-                    {
-                        data = std::make_shared<default_opset::Convert>(data, element::u8);
-                    }
                     return {std::make_shared<default_opset::NonZero>(data, element::i64)};
                 }