diff --git a/b2/_internal/_cli/obj_loads.py b/b2/_internal/_cli/obj_loads.py
index d85f6140..de4a71ae 100644
--- a/b2/_internal/_cli/obj_loads.py
+++ b/b2/_internal/_cli/obj_loads.py
@@ -13,6 +13,7 @@
 import io
 import json
 import logging
+import sys
 from typing import TypeVar
 
 from b2sdk.v2 import get_b2sdk_doc_urls
@@ -20,6 +21,11 @@
 try:
     import pydantic
     from pydantic import TypeAdapter, ValidationError
+
+    if sys.version_info < (3, 10):
+        raise ImportError('pydantic integration is not supported on python<3.10')
+        # we could support it partially with help of https://github.com/pydantic/pydantic/issues/7873
+        # but that creates yet another edge case, on old version of Python
 except ImportError:
     pydantic = None
 
@@ -50,6 +56,7 @@ def describe_type(type_) -> str:
 def validated_loads(data: str, expected_type: type[T] | None = None) -> T:
     val = _UNDEF
     if expected_type is not None and pydantic is not None:
+        expected_type = pydantic.with_config(pydantic.ConfigDict(extra="allow"))(expected_type)
         try:
             ta = TypeAdapter(expected_type)
         except TypeError:
diff --git a/test/unit/_cli/test_obj_loads.py b/test/unit/_cli/test_obj_loads.py
index 06bcfcc4..5f8992da 100644
--- a/test/unit/_cli/test_obj_loads.py
+++ b/test/unit/_cli/test_obj_loads.py
@@ -7,11 +7,18 @@
 # License https://www.backblaze.com/using_b2_code.html
 #
 ######################################################################
+from __future__ import annotations
+
 import argparse
 
 import pytest
 
-from b2._internal._cli.obj_loads import validated_loads
+try:
+    from typing_extensions import TypedDict
+except ImportError:
+    from typing import TypedDict
+
+from b2._internal._cli.obj_loads import pydantic, validated_loads
 
 
 @pytest.mark.parametrize(
@@ -46,3 +53,25 @@ def test_validated_loads(input_, expected_val):
 def test_validated_loads__invalid_syntax(input_, error_msg):
     with pytest.raises(argparse.ArgumentTypeError, match=error_msg):
         validated_loads(input_)
+
+
+@pytest.fixture
+def typed_dict_cls():
+    class MyTypedDict(TypedDict):
+        a: int | None
+        b: str
+
+    return MyTypedDict
+
+
+def test_validated_loads__typed_dict(typed_dict_cls):
+    input_ = '{"a": 1, "b": "2", "extra": null}'
+    expected_val = {"a": 1, "b": "2", "extra": None}
+    assert validated_loads(input_, typed_dict_cls) == expected_val
+
+
+@pytest.mark.skipif(pydantic is None, reason="pydantic is not enabled")
+def test_validated_loads__typed_dict_types_validation(typed_dict_cls):
+    input_ = '{"a": "abc", "b": 2}'
+    with pytest.raises(argparse.ArgumentTypeError):
+        validated_loads(input_, typed_dict_cls)