diff --git a/convert.py b/convert.py
index 4d927456..9b6c499e 100755
--- a/convert.py
+++ b/convert.py
@@ -107,6 +107,9 @@ def main():
 
     mp.set_start_method('spawn') # Required for CUDA, forkserver doesn't work
     model_lst = load_all_models()
+    if model_lst[0].device == "mps":
+        raise ValueError("Cannot use MPS with torch multiprocessing share_memory.  You have to use CUDA or CPU.")
+
     for model in model_lst:
         if model:
             model.share_memory()
diff --git a/convert_single.py b/convert_single.py
index 78ee9c5f..463feeb8 100755
--- a/convert_single.py
+++ b/convert_single.py
@@ -16,6 +16,7 @@ def main():
     parser.add_argument("filename", help="PDF file to parse")
     parser.add_argument("output", help="Output base folder path")
     parser.add_argument("--max_pages", type=int, default=None, help="Maximum number of pages to parse")
+    parser.add_argument("--start_page", type=int, default=None, help="Page to start processing at")
     parser.add_argument("--langs", type=str, help="Languages to use for OCR, comma separated", default=None)
     parser.add_argument("--batch_multiplier", type=int, default=2, help="How much to increase batch sizes")
     args = parser.parse_args()
@@ -24,7 +25,7 @@ def main():
 
     fname = args.filename
     model_lst = load_all_models()
-    full_text, images, out_meta = convert_single_pdf(fname, model_lst, max_pages=args.max_pages, langs=langs, batch_multiplier=args.batch_multiplier)
+    full_text, images, out_meta = convert_single_pdf(fname, model_lst, max_pages=args.max_pages, langs=langs, batch_multiplier=args.batch_multiplier, start_page=args.start_page)
 
     fname = os.path.basename(fname)
     subfolder_path = save_markdown(args.output, fname, full_text, images, out_meta)
diff --git a/marker/convert.py b/marker/convert.py
index 5ebbf964..958a6bd2 100644
--- a/marker/convert.py
+++ b/marker/convert.py
@@ -34,6 +34,7 @@ def convert_single_pdf(
         fname: str,
         model_lst: List,
         max_pages: int = None,
+        start_page: int = None,
         metadata: Optional[Dict] = None,
         langs: Optional[List[str]] = None,
         batch_multiplier: int = 1
@@ -66,6 +67,7 @@ def convert_single_pdf(
         doc,
         fname,
         max_pages=max_pages,
+        start_page=start_page
     )
     out_meta.update({
         "toc": toc,
diff --git a/marker/pdf/extract_text.py b/marker/pdf/extract_text.py
index a28016db..937ded31 100644
--- a/marker/pdf/extract_text.py
+++ b/marker/pdf/extract_text.py
@@ -74,13 +74,21 @@ def pdftext_format_to_blocks(page, pnum: int) -> Page:
     return out_page
 
 
-def get_text_blocks(doc, fname, max_pages: Optional[int] = None) -> (List[Page], Dict):
+def get_text_blocks(doc, fname, max_pages: Optional[int] = None, start_page: Optional[int] = None) -> (List[Page], Dict):
     toc = get_toc(doc)
 
-    page_range = range(len(doc))
+    if start_page:
+        assert start_page < len(doc)
+    else:
+        start_page = 0
+
     if max_pages:
-        range_end = min(max_pages, len(doc))
-        page_range = range(range_end)
+        if max_pages + start_page > len(doc):
+            max_pages = len(doc) - start_page
+    else:
+        max_pages = len(doc) - start_page
+
+    page_range = range(start_page, start_page + max_pages)
 
     char_blocks = dictionary_output(fname, page_range=page_range, keep_chars=True, workers=settings.PDFTEXT_CPU_WORKERS)
     marker_blocks = [pdftext_format_to_blocks(page, pnum) for pnum, page in enumerate(char_blocks)]
diff --git a/pyproject.toml b/pyproject.toml
index 1a4d964a..89a75a71 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "marker-pdf"
-version = "0.2.11"
+version = "0.2.12"
 description = "Convert PDF to markdown with high speed and accuracy."
 authors = ["Vik Paruchuri <github@vikas.sh>"]
 readme = "README.md"