diff --git a/cognee/tests/integration/documents/PdfDocument_test.py b/cognee/tests/integration/documents/PdfDocument_test.py
index 108d61273..d8ddbe23c 100644
--- a/cognee/tests/integration/documents/PdfDocument_test.py
+++ b/cognee/tests/integration/documents/PdfDocument_test.py
@@ -16,12 +16,12 @@ def test_PdfDocument():
         "test_data",
         "artificial-intelligence.pdf",
     )
-    pdf_doc = PdfDocument(
+    document = PdfDocument(
         id=uuid.uuid4(), name="Test document.pdf", raw_data_location=test_file_path
     )
 
     for ground_truth, paragraph_data in zip(
-        GROUND_TRUTH, pdf_doc.read(chunk_size=1024)
+        GROUND_TRUTH, document.read(chunk_size=1024)
     ):
         assert (
             ground_truth["word_count"] == paragraph_data.word_count
diff --git a/cognee/tests/integration/documents/TextDocument_test.py b/cognee/tests/integration/documents/TextDocument_test.py
new file mode 100644
index 000000000..1547baa46
--- /dev/null
+++ b/cognee/tests/integration/documents/TextDocument_test.py
@@ -0,0 +1,46 @@
+import os
+import uuid
+
+import pytest
+
+from cognee.modules.data.processing.document_types.TextDocument import TextDocument
+
+GROUND_TRUTH = {
+    "code.txt": [
+        {"word_count": 253, "len_text": 953, "cut_type": "paragraph_end"},
+        {"word_count": 157, "len_text": 905, "cut_type": "paragraph_end"},
+    ],
+    "Natural_language_processing.txt": [
+        {"word_count": 115, "len_text": 839, "cut_type": "paragraph_end"},
+        {"word_count": 15, "len_text": 146, "cut_type": "paragraph_end"},
+    ],
+}
+
+
+@pytest.mark.parametrize(
+    "input_file,chunk_size",
+    [("code.txt", 256), ("Natural_language_processing.txt", 128)],
+)
+def test_TextDocument(input_file, chunk_size):
+    test_file_path = os.path.join(
+        os.sep,
+        *(os.path.dirname(__file__).split(os.sep)[:-2]),
+        "test_data",
+        input_file,
+    )
+    document = TextDocument(
+        id=uuid.uuid4(), name=input_file, raw_data_location=test_file_path
+    )
+
+    for ground_truth, paragraph_data in zip(
+        GROUND_TRUTH[input_file], document.read(chunk_size=chunk_size)
+    ):
+        assert (
+            ground_truth["word_count"] == paragraph_data.word_count
+        ), f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }'
+        assert ground_truth["len_text"] == len(
+            paragraph_data.text
+        ), f'{ground_truth["len_text"] = } != {len(paragraph_data.text) = }'
+        assert (
+            ground_truth["cut_type"] == paragraph_data.cut_type
+        ), f'{ground_truth["cut_type"] = } != {paragraph_data.cut_type = }'