diff --git a/sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/__init__.py b/sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/__init__.py
index c20ead661b69..c58ddf145717 100644
--- a/sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/__init__.py
+++ b/sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/__init__.py
@@ -61,6 +61,7 @@
     AccountInfo,
     DocumentAnalysisError,
     DocumentAnalysisInnerError,
+    get_document_content_elements,
 )
 from ._api_versions import FormRecognizerApiVersion, DocumentAnalysisApiVersion
 
@@ -123,6 +124,7 @@
     "AccountInfo",
     "DocumentAnalysisError",
     "DocumentAnalysisInnerError",
+    "get_document_content_elements",
 ]
 
 __VERSION__ = VERSION
diff --git a/sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/_models.py b/sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/_models.py
index e5260d3414d4..8682fe6653ee 100644
--- a/sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/_models.py
+++ b/sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/_models.py
@@ -4039,3 +4039,38 @@ def from_dict(cls, data):
             innererror=DocumentAnalysisInnerError.from_dict(data.get("innererror"))  # type: ignore
             if data.get("innererror") else None
         )
+
+
+class ElementNavigator(object):
+    """Provides element navigation methods."""
+
+    def get_document_content_elements(base_element, page, search_elements):
+        # type: (DocumentLine, DocumentPage, List[str]) -> List[Union[DocumentElement, DocumentWord, DocumentSelectionMark]]
+        result = []
+        for elem in search_elements:
+            if elem == "words":
+                for word in page.words:
+                    # performance wise this is not great since it runs through ALL the words every time even if the line is very short
+                    for span in base_element.spans:
+                        if word.span.offset >= span.offset and (
+                            word.span.offset + word.span.length
+                        ) <= (span.offset + span.length):
+                            result.append(word)
+            elif elem == "selection_marks":
+                for mark in page.selection_marks:
+                    for span in base_element.spans:
+                        if mark.span.offset >= span.offset and (
+                            mark.span.offset + mark.span.length
+                        ) <= (span.offset + span.length):
+                            result.append(mark)
+        return result
+
+    def get_document_structure_elements(base_element, analyze_result, search_elements):
+        # type: (DocumentLine, AnalyzeResult, List[str]) -> List[Union[DocumentElement, DocumentWord, DocumentSelectionMark]]
+        # TODO implementation
+        return
+
+    def get_styles(element, analyze_result):
+        # type: (Union[DocumentContentElement, DocumentStructureElement, DocumentPageElement], AnalyzeResult) -> List[DocumentStyle]
+        # TODO implementation
+        return
\ No newline at end of file
diff --git a/sdk/formrecognizer/azure-ai-formrecognizer/tests/test_document.py b/sdk/formrecognizer/azure-ai-formrecognizer/tests/test_document.py
index 232bc6bbaf36..f307544f6a9b 100644
--- a/sdk/formrecognizer/azure-ai-formrecognizer/tests/test_document.py
+++ b/sdk/formrecognizer/azure-ai-formrecognizer/tests/test_document.py
@@ -7,7 +7,7 @@
 import functools
 from azure.ai.formrecognizer._generated.models import AnalyzeResultOperation
 from azure.ai.formrecognizer import DocumentAnalysisClient
-from azure.ai.formrecognizer import AnalyzeResult
+from azure.ai.formrecognizer import AnalyzeResult, get_document_content_elements
 from preparers import FormRecognizerPreparer
 from testcase import FormRecognizerTest
 from preparers import GlobalClientPreparer as _GlobalClientPreparer
@@ -18,6 +18,18 @@
 
 class TestDocumentFromStream(FormRecognizerTest):
 
+    @FormRecognizerPreparer()
+    @DocumentAnalysisClientPreparer()
+    def test_document_line_get_words(self, client):
+        with open(self.selection_form_pdf, "rb") as fd:
+            document = fd.read()
+
+        poller = client.begin_analyze_document("prebuilt-document", document)
+        result = poller.result()
+
+        res = get_document_content_elements(result.pages[0].lines[13], result.pages[0], ["words", "selection_marks"])
+        assert len(res) == 1
+
     @FormRecognizerPreparer()
     @DocumentAnalysisClientPreparer()
     def test_document_stream_transform_pdf(self, client):