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diff --git a/src/text_recognizer/tests/support/iam_paragraphs/a01-000u.jpg b/src/text_recognizer/tests/support/iam_paragraphs/a01-000u.jpg
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+++ b/src/text_recognizer/tests/support/iam_paragraphs/a01-000u.jpg
diff --git a/src/text_recognizer/tests/test_paragraph_text_recognizer.py b/src/text_recognizer/tests/test_paragraph_text_recognizer.py
new file mode 100644
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+++ b/src/text_recognizer/tests/test_paragraph_text_recognizer.py
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+"""Test for ParagraphTextRecognizer class."""
+import os
+from pathlib import Path
+import unittest
+
+from text_recognizer.paragraph_text_recognizer import ParagraphTextRecognizor
+import text_recognizer.util as util
+
+
+SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "support" / "iam_paragraph"
+
+# Prevent using GPU.
+os.environ["CUDA_VISIBLE_DEVICES"] = ""
+
+
+class TestParagraphTextRecognizor(unittest.TestCase):
+    """Test that it can take non-square images of max dimension larger than 256px."""
+
+    def test_filename(self) -> None:
+        """Test model on support image."""
+        line_predictor_args = {
+            "dataset": "EmnistLineDataset",
+            "network_fn": "CNNTransformer",
+        }
+        line_detector_args = {"dataset": "EmnistLineDataset", "network_fn": "UNet"}
+        model = ParagraphTextRecognizor(
+            line_predictor_args=line_predictor_args,
+            line_detector_args=line_detector_args,
+        )
+        num_text_lines_by_name = {"a01-000u-cropped": 7}
+        for filename in (SUPPORT_DIRNAME).glob("*.jpg"):
+            full_image = util.read_image(str(filename), grayscale=True)
+            predicted_text, line_region_crops = model.predict(full_image)
+            print(predicted_text)
+            self.assertTrue(
+                len(line_region_crops), num_text_lines_by_name[filename.stem]
+            )