diff --git a/src/python/strelka/scanners/scan_ocr.py b/src/python/strelka/scanners/scan_ocr.py
index c359b668..c10c5969 100644
--- a/src/python/strelka/scanners/scan_ocr.py
+++ b/src/python/strelka/scanners/scan_ocr.py
@@ -29,7 +29,6 @@ class ScanOcr(strelka.Scanner):
 
     def scan(self, data, file, options, expire_at):
         extract_text = options.get("extract_text", False)
-        split_words = options.get("split_words", True)
         remove_formatting = options.get("remove_formatting", True)
         tmp_directory = options.get("tmp_directory", "/tmp/")
         pdf_to_png = options.get("pdf_to_png", False)
@@ -79,20 +78,18 @@ def scan(self, data, file, options, expire_at):
                     with open(tess_txt_name, "rb") as tess_txt:
                         ocr_file = tess_txt.read()
                         if ocr_file:
-                            if split_words:
-                                self.event["text"] = ocr_file.split()
+                            self.event["text"] = ocr_file.split()
+                            if remove_formatting:
+                                self.event["string_text"] = (
+                                    ocr_file.replace(b"\r", b"")
+                                    .replace(b"\n", b"")
+                                    .replace(b"\f", b"")
+                                )
                             else:
-                                if remove_formatting:
-                                    self.event["text"] = (
-                                        ocr_file.replace(b"\r", b"")
-                                        .replace(b"\n", b"")
-                                        .replace(b"\f", b"")
-                                    )
-                                else:
-                                    self.event["text"] = ocr_file
-                            if extract_text:
-                                # Send extracted file back to Strelka
-                                self.emit_file(ocr_file, name="text")
+                                self.event["string_text"] = ocr_file
+                        if extract_text:
+                            # Send extracted file back to Strelka
+                            self.emit_file(ocr_file, name="text")
 
                     os.remove(tess_txt_name)
 
diff --git a/src/python/strelka/tests/test_scan_ocr.py b/src/python/strelka/tests/test_scan_ocr.py
index b0bc3f2a..a59e1cd3 100644
--- a/src/python/strelka/tests/test_scan_ocr.py
+++ b/src/python/strelka/tests/test_scan_ocr.py
@@ -15,6 +15,20 @@ def test_scan_ocr_jpg(mocker):
     test_scan_event = {
         "elapsed": mock.ANY,
         "flags": [],
+        "string_text": b"Lorem Ipsum Lorem ipsum dolor sit amet, consectetur adipisci"
+        b"ng elit. Cras lobortis sem dui. Morbi at magna quis ligula f"
+        b"aucibusconsectetur feugiat at purus. Sed nec lorem nibh. Nam"
+        b" vel libero odio. Vivamus tempus non enim egestas pretium.Ve"
+        b"stibulum turpis arcu, maximus nec libero quis, imperdiet sus"
+        b"cipit purus. Vestibulum blandit quis lacus nonsollicitudin. "
+        b"Nullam non convallis dui, et aliquet risus. Sed accumsan ull"
+        b"amcorper vehicula. Proin non urna facilisis,condimentum eros"
+        b" quis, suscipit purus. Morbi euismod imperdiet neque ferment"
+        b"um dictum. Integer aliquam, erat sitamet fringilla tempus, m"
+        b"auris ligula blandit sapien, et varius sem mauris eu diam. S"
+        b"ed fringilla neque est, in laoreetfelis tristique in. Donec "
+        b"luctus velit a posuere posuere. Suspendisse sodales pellente"
+        b"sque quam.",
         "text": [
             b"Lorem",
             b"Ipsum",
@@ -154,6 +168,20 @@ def test_scan_ocr_png(mocker):
     test_scan_event = {
         "elapsed": mock.ANY,
         "flags": [],
+        "string_text": b"Lorem Ipsum Lorem ipsum dolor sit amet, consectetur adipisci"
+        b"ng elit. Cras lobortis sem dui. Morbi at magna quis ligula f"
+        b"aucibusconsectetur feugiat at purus. Sed nec lorem nibh. Nam"
+        b" vel libero odio. Vivamus tempus non enim egestas pretium.Ve"
+        b"stibulum turpis arcu, maximus nec libero quis, imperdiet sus"
+        b"cipit purus. Vestibulum blandit quis lacus nonsollicitudin. "
+        b"Nullam non convallis dui, et aliquet risus. Sed accumsan ull"
+        b"amcorper vehicula. Proin non urna facilisis,condimentum eros"
+        b" quis, suscipit purus. Morbi euismod imperdiet neque ferment"
+        b"um dictum. Integer aliquam, erat sitamet fringilla tempus, m"
+        b"auris ligula blandit sapien, et varius sem mauris eu diam. S"
+        b"ed fringilla neque est, in laoreetfelis tristique in. Donec "
+        b"luctus velit a posuere posuere. Suspendisse sodales pellente"
+        b"sque quam.",
         "text": [
             b"Lorem",
             b"Ipsum",
@@ -293,6 +321,20 @@ def test_scan_ocr_webp(mocker):
     test_scan_event = {
         "elapsed": mock.ANY,
         "flags": [],
+        "string_text": b"Lorem Ipsum Lorem ipsum dolor sit amet, consectetur adipisci"
+        b"ng elit. Cras lobortis sem dui. Morbi at magna quis ligula f"
+        b"aucibusconsectetur feugiat at purus. Sed nec lorem nibh. Nam"
+        b" vel libero odio. Vivamus tempus non enim egestas pretium.Ve"
+        b"stibulum turpis arcu, maximus nec libero quis, imperdiet sus"
+        b"cipit purus. Vestibulum blandit quis lacus nonsollicitudin. "
+        b"Nullam non convallis dui, et aliquet risus. Sed accumsan ull"
+        b"amcorper vehicula. Proin non urna facilisis,condimentum eros"
+        b" quis, suscipit purus. Morbi euismod imperdiet neque ferment"
+        b"um dictum. Integer aliquam, erat sitamet fringilla tempus, m"
+        b"auris ligula blandit sapien, et varius sem mauris eu diam. S"
+        b"ed fringilla neque est, in laoreetfelis tristique in. Donec "
+        b"luctus velit a posuere posuere. Suspendisse sodales pellente"
+        b"sque quam.",
         "text": [
             b"Lorem",
             b"Ipsum",
@@ -432,7 +474,7 @@ def test_scan_ocr_keep_formatting(mocker):
     test_scan_event = {
         "elapsed": mock.ANY,
         "flags": [],
-        "text": b"Lorem Ipsum\n\nLorem ipsum dolor sit amet, consectetur adipiscing elit. Cras lobortis sem dui. "
+        "string_text": b"Lorem Ipsum\n\nLorem ipsum dolor sit amet, consectetur adipiscing elit. Cras lobortis sem dui. "
         b"Morbi at magna quis ligula faucibus\nconsectetur feugiat at purus. Sed nec lorem nibh. Nam vel "
         b"libero odio. Vivamus tempus non enim egestas pretium.\nVestibulum turpis arcu, maximus nec libero "
         b"quis, imperdiet suscipit purus. Vestibulum blandit quis lacus non\nsollicitudin. Nullam non "
@@ -455,7 +497,7 @@ def test_scan_ocr_keep_formatting(mocker):
     # Output string formatting may result in slightly different results.
     # Comparing similarity to the 99% percentile is good enough.
     similarity = difflib.SequenceMatcher(
-        None, test_scan_event["text"], scanner_event["text"]
+        None, test_scan_event["string_text"], scanner_event["string_text"]
     ).ratio()
     assert similarity > 0.99
 
@@ -470,7 +512,7 @@ def test_scan_ocr_thumbnail(mocker):
         "elapsed": mock.ANY,
         "flags": [],
         "base64_thumbnail": "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",
-        "text": b"Lorem Ipsum\n\nLorem ipsum dolor sit amet, consectetur adipiscing elit. Cras lobortis sem dui. "
+        "string_text": b"Lorem Ipsum\n\nLorem ipsum dolor sit amet, consectetur adipiscing elit. Cras lobortis sem dui. "
         b"Morbi at magna quis ligula faucibus\nconsectetur feugiat at purus. Sed nec lorem nibh. Nam vel "
         b"libero odio. Vivamus tempus non enim egestas pretium.\nVestibulum turpis arcu, maximus nec libero "
         b"quis, imperdiet suscipit purus. Vestibulum blandit quis lacus non\nsollicitudin. Nullam non "
@@ -495,7 +537,7 @@ def test_scan_ocr_thumbnail(mocker):
     # Output string formatting may result in slightly different results.
     # Comparing similarity to the 99% percentile is good enough.
     similarity = difflib.SequenceMatcher(
-        None, test_scan_event["text"], scanner_event["text"]
+        None, test_scan_event["string_text"], scanner_event["string_text"]
     ).ratio()
     assert similarity > 0.99