diff --git a/docling/models/tesseract_ocr_cli_model.py b/docling/models/tesseract_ocr_cli_model.py
index d694bf58..db01fcec 100644
--- a/docling/models/tesseract_ocr_cli_model.py
+++ b/docling/models/tesseract_ocr_cli_model.py
@@ -119,13 +119,12 @@ class TesseractOcrCliModel(BaseOcrModel):
         cmd += [ifilename, "stdout", "tsv"]
         _log.info("command: {}".format(" ".join(cmd)))
 
-        proc = Popen(cmd, stdout=PIPE, stderr=DEVNULL)
-        output, _ = proc.communicate()
+        output = subprocess.run(cmd, stdout=PIPE, stderr=DEVNULL, check=True)
 
         # _log.info(output)
 
         # Decode the byte string to a regular string
-        decoded_data = output.decode("utf-8")
+        decoded_data = output.stdout.decode("utf-8")
         # _log.info(decoded_data)
 
         # Read the TSV file generated by Tesseract
@@ -188,9 +187,8 @@ class TesseractOcrCliModel(BaseOcrModel):
         cmd = [self.options.tesseract_cmd]
         cmd.append("--list-langs")
         _log.info("command: {}".format(" ".join(cmd)))
-        proc = Popen(cmd, stdout=PIPE, stderr=DEVNULL)
-        output, _ = proc.communicate()
-        decoded_data = output.decode("utf-8")
+        output = subprocess.run(cmd, stdout=PIPE, stderr=DEVNULL, check=True)
+        decoded_data = output.stdout.decode("utf-8")
         df_list = pd.read_csv(io.StringIO(decoded_data), header=None)
         self._tesseract_languages = df_list[0].tolist()[1:]
 
@@ -231,16 +229,18 @@ class TesseractOcrCliModel(BaseOcrModel):
                             ) as image_file:
                                 fname = image_file.name
                                 high_res_image.save(image_file)
+                            doc_orientation = 0
                             try:
                                 df_osd = self._perform_osd(fname)
+                                doc_orientation = _parse_orientation(df_osd)
                             except subprocess.CalledProcessError as exc:
+                                # Here we just log the error and proceed to OCR in the
+                                # hope OCR will succeed while OSD failed
                                 _log.error(
                                     "OSD failed for: %s with error:\n %s",
                                     image_file,
                                     exc.stderr,
                                 )
-                                continue
-                            doc_orientation = _parse_orientation(df_osd)
                             if doc_orientation != 0:
                                 high_res_image = high_res_image.rotate(
                                     -doc_orientation, expand=True