diff --git a/doc/source/whatsnew/v2.1.0.rst b/doc/source/whatsnew/v2.1.0.rst
index c3355757350b9..61856e0a7538e 100644
--- a/doc/source/whatsnew/v2.1.0.rst
+++ b/doc/source/whatsnew/v2.1.0.rst
@@ -308,6 +308,7 @@ Conversion
 ^^^^^^^^^^
 - Bug in :meth:`ArrowDtype.numpy_dtype` returning nanosecond units for non-nanosecond ``pyarrow.timestamp`` and ``pyarrow.duration`` types (:issue:`51800`)
 - Bug in :meth:`DataFrame.info` raising  ``ValueError`` when ``use_numba`` is set (:issue:`51922`)
+- Bug in :meth:`TextReader._convert_with_dtype` raising  ``ValueError`` when ``,`` is used as decimal pointer (:issue:`52086`)
 -
 
 Strings
diff --git a/pandas/_libs/parsers.pyx b/pandas/_libs/parsers.pyx
index ae1d20ca4e225..ed572513910c6 100644
--- a/pandas/_libs/parsers.pyx
+++ b/pandas/_libs/parsers.pyx
@@ -1201,6 +1201,9 @@ cdef class TextReader:
                         result, dtype=dtype, true_values=true_values,
                         false_values=false_values)
                 else:
+                    if chr(self.parser.decimal) != ".":
+                        for i in range(len(result)):
+                            result[i] = result[i].replace(chr(self.parser.decimal), ".")
                     result = array_type._from_sequence_of_strings(result, dtype=dtype)
             except NotImplementedError:
                 raise NotImplementedError(
diff --git a/pandas/tests/libs/test_lib.py b/pandas/tests/libs/test_lib.py
index 383e1b81e17a7..92a0778880995 100644
--- a/pandas/tests/libs/test_lib.py
+++ b/pandas/tests/libs/test_lib.py
@@ -1,3 +1,5 @@
+import io
+
 import numpy as np
 import pytest
 
@@ -7,6 +9,7 @@
     writers as libwriters,
 )
 
+import pandas as pd
 from pandas import Index
 import pandas._testing as tm
 
@@ -270,3 +273,33 @@ def test_no_default_pickle():
     # GH#40397
     obj = tm.round_trip_pickle(lib.no_default)
     assert obj is lib.no_default
+
+
+def test_pdfloat64_decimal_separator():
+    df1 = pd.read_csv(
+        io.StringIO('id\n"1,5"\n"1,6"\n'),
+        dtype={"id": pd.Float64Dtype()},
+        sep=";",
+        decimal=",",
+    )
+    df2 = pd.read_csv(
+        io.StringIO('id\n"1.5"\n"1.6"\n'),
+        dtype={"id": pd.Float64Dtype()},
+        sep=",",
+        decimal=".",
+    )
+    assert df1.equals(df2)
+
+    df1 = pd.read_csv(
+        io.StringIO('id\n"1,5"\n'),
+        dtype={"id": pd.Float64Dtype()},
+        sep=";",
+        decimal=",",
+    )
+    df2 = pd.read_csv(
+        io.StringIO('id\n"1.5"\n'),
+        dtype={"id": pd.Float64Dtype()},
+        sep=",",
+        decimal=".",
+    )
+    assert df1.equals(df2)