diff --git a/marker/builders/layout.py b/marker/builders/layout.py
index 338b9146..16efec35 100644
--- a/marker/builders/layout.py
+++ b/marker/builders/layout.py
@@ -26,6 +26,10 @@ class LayoutBuilder(BaseBuilder):
         str,
         "Skip layout and force every page to be treated as a specific block type.",
     ] = None
+    disable_tqdm: Annotated[
+        bool,
+        "Disable tqdm progress bars.",
+    ] = False
 
     def __init__(self, layout_model: LayoutPredictor, config=None):
         self.layout_model = layout_model
@@ -68,6 +72,7 @@ def forced_layout(self, pages: List[PageGroup]) -> List[LayoutResult]:
 
 
     def surya_layout(self, pages: List[PageGroup]) -> List[LayoutResult]:
+        self.layout_model.disable_tqdm = self.disable_tqdm
         layout_results = self.layout_model(
             [p.get_image(highres=False) for p in pages],
             batch_size=int(self.get_batch_size())
diff --git a/marker/builders/line.py b/marker/builders/line.py
index dd39ad39..579f8480 100644
--- a/marker/builders/line.py
+++ b/marker/builders/line.py
@@ -96,6 +96,10 @@ class LineBuilder(BaseBuilder):
         "Whether to run texify on inline math spans."
     ] = False
     ocr_remove_blocks: Tuple[BlockTypes, ...] = (BlockTypes.Table, BlockTypes.Form, BlockTypes.TableOfContents, BlockTypes.Equation)
+    disable_tqdm: Annotated[
+        bool,
+        "Disable tqdm progress bars.",
+    ] = False
 
     def __init__(self, detection_model: DetectionPredictor, inline_detection_model: InlineDetectionPredictor, ocr_error_model: OCRErrorPredictor, config=None):
         super().__init__(config)
@@ -126,12 +130,14 @@ def get_ocr_error_batch_size(self):
         return 4
 
     def get_detection_results(self, page_images: List[Image.Image], run_detection: List[bool], do_inline_math_detection: bool):
+        self.detection_model.disable_tqdm = self.disable_tqdm
         page_detection_results = self.detection_model(
             images=page_images,
             batch_size=self.get_detection_batch_size()
         )
         inline_detection_results = [None] * len(page_detection_results)
         if do_inline_math_detection:
+            self.inline_detection_model.disable_tqdm = self.disable_tqdm
             inline_detection_results = self.inline_detection_model(
                 images=page_images,
                 text_boxes=[[b.bbox for b in det_result.bboxes] for det_result in page_detection_results],
@@ -257,6 +263,7 @@ def ocr_error_detection(self, pages:List[PageGroup], provider_page_lines: Provid
             page_text = '\n'.join(' '.join(s.text for s in line.spans) for line in provider_lines)
             page_texts.append(page_text)
 
+        self.ocr_error_model.disable_tqdm = self.disable_tqdm
         ocr_error_detection_results = self.ocr_error_model(
             page_texts,
             batch_size=int(self.get_ocr_error_batch_size())
diff --git a/marker/builders/ocr.py b/marker/builders/ocr.py
index 168915ae..f226553a 100644
--- a/marker/builders/ocr.py
+++ b/marker/builders/ocr.py
@@ -28,6 +28,10 @@ class OcrBuilder(BaseBuilder):
         "A list of languages to use for OCR.",
         "Default is None."
     ] = None
+    disable_tqdm: Annotated[
+        bool,
+        "Disable tqdm progress bars.",
+    ] = False
 
     def __init__(self, recognition_model: RecognitionPredictor, config=None):
         super().__init__(config)
@@ -77,6 +81,7 @@ def ocr_extraction(self, document: Document, pages: List[PageGroup], provider: P
         if sum(len(b) for b in line_boxes)==0:
             return
 
+        self.recognition_model.disable_tqdm = self.disable_tqdm
         recognition_results = self.recognition_model(
             images=images,
             bboxes=line_boxes,
diff --git a/marker/converters/pdf.py b/marker/converters/pdf.py
index 0b3d47f7..60c32a6d 100644
--- a/marker/converters/pdf.py
+++ b/marker/converters/pdf.py
@@ -99,6 +99,9 @@ def __init__(
     ):
         super().__init__(config)
 
+        if config is None:
+            config = {}
+
         for block_type, override_block_type in self.override_map.items():
             register_block_class(block_type, override_block_type)
 
@@ -132,14 +135,13 @@ def __init__(
         if self.use_llm:
             self.layout_builder_class = LLMLayoutBuilder
 
-    @cache
     def build_document(self, filepath: str):
         provider_cls = provider_from_filepath(filepath)
         layout_builder = self.resolve_dependencies(self.layout_builder_class)
         line_builder = self.resolve_dependencies(LineBuilder)
         ocr_builder = self.resolve_dependencies(OcrBuilder)
-        with provider_cls(filepath, self.config) as provider:
-            document = DocumentBuilder(self.config)(provider, layout_builder, line_builder, ocr_builder)
+        provider = provider_cls(filepath, self.config)
+        document = DocumentBuilder(self.config)(provider, layout_builder, line_builder, ocr_builder)
         structure_builder_cls = self.resolve_dependencies(StructureBuilder)
         structure_builder_cls(document)
 
diff --git a/marker/converters/table.py b/marker/converters/table.py
index d73e1cc6..772d2306 100644
--- a/marker/converters/table.py
+++ b/marker/converters/table.py
@@ -25,7 +25,6 @@ class TableConverter(PdfConverter):
     )
     converter_block_types: List[BlockTypes] = (BlockTypes.Table, BlockTypes.Form, BlockTypes.TableOfContents)
 
-    @cache
     def build_document(self, filepath: str):
         provider_cls = provider_from_filepath(filepath)
         layout_builder = self.resolve_dependencies(self.layout_builder_class)
@@ -33,8 +32,9 @@ def build_document(self, filepath: str):
         ocr_builder = self.resolve_dependencies(OcrBuilder)
         document_builder = DocumentBuilder(self.config)
         document_builder.disable_ocr = True
-        with provider_cls(filepath, self.config) as provider:
-            document = document_builder(provider, layout_builder, line_builder, ocr_builder)
+
+        provider = provider_cls(filepath, self.config)
+        document = document_builder(provider, layout_builder, line_builder, ocr_builder)
 
         for page in document.pages:
             page.structure = [p for p in page.structure if p.block_type in self.converter_block_types]
diff --git a/marker/processors/equation.py b/marker/processors/equation.py
index 99cd1fef..35426d27 100644
--- a/marker/processors/equation.py
+++ b/marker/processors/equation.py
@@ -96,6 +96,7 @@ def get_batch_size(self):
 
     def get_latex_batched(self, equation_data: List[dict]):
         inference_images = [eq["image"] for eq in equation_data]
+        self.texify_model.disable_tqdm = self.disable_tqdm
         model_output = self.texify_model(inference_images, batch_size=self.get_batch_size())
         predictions = [output.text for output in model_output]
 
diff --git a/marker/processors/llm/llm_equation.py b/marker/processors/llm/llm_equation.py
index f6768c57..b620419a 100644
--- a/marker/processors/llm/llm_equation.py
+++ b/marker/processors/llm/llm_equation.py
@@ -21,7 +21,7 @@ class LLMEquationProcessor(BaseLLMSimpleBlockProcessor):
         str,
         "The prompt to use for generating LaTeX from equations.",
         "Default is a string containing the Gemini prompt."
-    ] = """You're an expert mathematician who is good at writing LaTeX code and html for equations.
+    ] = r"""You're an expert mathematician who is good at writing LaTeX code and html for equations.
 You'll receive an image of a math block that may contain one or more equations. Your job is to write html that represents the content of the image, with the equations in LaTeX format, and fenced by delimiters.
 
 Some guidelines:
diff --git a/marker/processors/llm/llm_text.py b/marker/processors/llm/llm_text.py
index e49dff96..3b35fdf3 100644
--- a/marker/processors/llm/llm_text.py
+++ b/marker/processors/llm/llm_text.py
@@ -21,7 +21,7 @@ class LLMTextProcessor(BaseLLMSimpleBlockProcessor):
 
     block_types = (BlockTypes.Line,)
     image_remove_blocks = (BlockTypes.Equation,)
-    text_math_rewriting_prompt = """You are a text correction expert specializing in accurately reproducing text from images.
+    text_math_rewriting_prompt = r"""You are a text correction expert specializing in accurately reproducing text from images.
 You will receive an image of a text block and a set of extracted lines corresponding to the text in the image.
 Your task is to correct any errors in the extracted lines, including math, formatting, and other inaccuracies, and output the corrected lines in a JSON format.
 The number of output lines MUST match the number of input lines.  Stay as faithful to the original text as possible.
diff --git a/marker/processors/table.py b/marker/processors/table.py
index 8bd2831e..36140429 100644
--- a/marker/processors/table.py
+++ b/marker/processors/table.py
@@ -48,14 +48,18 @@ class TableProcessor(BaseProcessor):
         List[BlockTypes],
         "Block types to remove if they're contained inside the tables."
     ] = (BlockTypes.Text, BlockTypes.TextInlineMath)
-    pdftext_workers: Annotated[
-        int,
-        "The number of workers to use for pdftext.",
-    ] = 4
     row_split_threshold: Annotated[
         float,
         "The percentage of rows that need to be split across the table before row splitting is active.",
     ] = 0.5
+    pdftext_workers: Annotated[
+        int,
+        "The number of workers to use for pdftext.",
+    ] = 1
+    disable_tqdm: Annotated[
+        bool,
+        "Whether to disable the tqdm progress bar.",
+    ] = False
 
     def __init__(
         self,
@@ -95,6 +99,7 @@ def __call__(self, document: Document):
         self.assign_ocr_lines(ocr_blocks)  # Handle tables where OCR is needed
         assert all("table_text_lines" in t for t in table_data), "All table data must have table cells"
 
+        self.table_rec_model.disable_tqdm = self.disable_tqdm
         tables: List[TableResult] = self.table_rec_model(
             [t["table_image"] for t in table_data],
             batch_size=self.get_table_rec_batch_size()
@@ -372,6 +377,8 @@ def assign_pdftext_lines(self, extract_blocks: list, filepath: str):
 
     def assign_ocr_lines(self, ocr_blocks: list):
         det_images = [t["table_image"] for t in ocr_blocks]
+        self.recognition_model.disable_tqdm = self.disable_tqdm
+        self.detection_model.disable_tqdm = self.disable_tqdm
         ocr_results: List[OCRResult] = self.recognition_model(
             det_images,
             [None] * len(det_images),
diff --git a/marker/providers/__init__.py b/marker/providers/__init__.py
index 448c70a5..67cb0f0a 100644
--- a/marker/providers/__init__.py
+++ b/marker/providers/__init__.py
@@ -66,6 +66,3 @@ def get_page_refs(self, idx: int) -> List[Reference]:
 
     def __enter__(self):
         return self
-
-    def __exit__(self, exc_type, exc_value, traceback):
-        raise NotImplementedError
diff --git a/marker/providers/image.py b/marker/providers/image.py
index 45aa9ad7..a9f0c03a 100644
--- a/marker/providers/image.py
+++ b/marker/providers/image.py
@@ -33,9 +33,6 @@ def __init__(self, filepath: str, config=None):
     def __len__(self):
         return self.image_count
 
-    def __exit__(self, exc_type, exc_value, traceback):
-        pass
-
     def get_images(self, idxs: List[int], dpi: int) -> List[Image.Image]:
         return [self.images[i] for i in idxs]
 
diff --git a/marker/providers/pdf.py b/marker/providers/pdf.py
index 19f39686..60a974b4 100644
--- a/marker/providers/pdf.py
+++ b/marker/providers/pdf.py
@@ -1,4 +1,4 @@
-import atexit
+import contextlib
 import ctypes
 import re
 from typing import Annotated, Dict, List, Optional, Set
@@ -9,7 +9,7 @@
 from pdftext.extraction import dictionary_output
 from pdftext.schema import Reference
 from PIL import Image
-from pypdfium2 import PdfiumError
+from pypdfium2 import PdfiumError, PdfDocument
 
 from marker.providers import BaseProvider, ProviderOutput, Char, ProviderPageLines
 from marker.providers.utils import alphanum_ratio
@@ -33,7 +33,7 @@ class PdfProvider(BaseProvider):
     pdftext_workers: Annotated[
         int,
         "The number of workers to use for pdftext.",
-    ] = 4
+    ] = 1
     flatten_pdf: Annotated[
         bool,
         "Whether to flatten the PDF structure.",
@@ -74,33 +74,37 @@ class PdfProvider(BaseProvider):
     def __init__(self, filepath: str, config=None):
         super().__init__(filepath, config)
 
-        self.doc: pdfium.PdfDocument = pdfium.PdfDocument(self.filepath)
-        self.page_lines: ProviderPageLines = {i: [] for i in range(len(self.doc))}
-        self.page_refs: Dict[int, List[Reference]] = {i: [] for i in range(len(self.doc))}
+        self.filepath = filepath
 
-        if self.page_range is None:
-            self.page_range = range(len(self.doc))
+        with self.get_doc() as doc:
+            self.page_count = len(doc)
+            self.page_lines: ProviderPageLines = {i: [] for i in range(len(doc))}
+            self.page_refs: Dict[int, List[Reference]] = {i: [] for i in range(len(doc))}
 
-        assert max(self.page_range) < len(self.doc) and min(self.page_range) >= 0, \
-            f"Invalid page range, values must be between 0 and {len(self.doc) - 1}.  Min of provided page range is {min(self.page_range)} and max is {max(self.page_range)}."
+            if self.page_range is None:
+                self.page_range = range(len(doc))
 
-        if self.force_ocr:
-            # Manually assign page bboxes, since we can't get them from pdftext
-            self.page_bboxes = {i: self.doc[i].get_bbox() for i in self.page_range}
-        else:
-            self.page_lines = self.pdftext_extraction()
+            assert max(self.page_range) < len(doc) and min(self.page_range) >= 0, \
+                f"Invalid page range, values must be between 0 and {len(doc) - 1}.  Min of provided page range is {min(self.page_range)} and max is {max(self.page_range)}."
 
-        atexit.register(self.cleanup_pdf_doc)
+            if self.force_ocr:
+                # Manually assign page bboxes, since we can't get them from pdftext
+                self.page_bboxes = {i: doc[i].get_bbox() for i in self.page_range}
+            else:
+                self.page_lines = self.pdftext_extraction(doc)
 
-    def __exit__(self, exc_type, exc_value, traceback):
-        self.cleanup_pdf_doc()
+    @contextlib.contextmanager
+    def get_doc(self):
+        doc = None
+        try:
+            doc = pdfium.PdfDocument(self.filepath)
+            yield doc
+        finally:
+            if doc:
+                doc.close()
 
     def __len__(self) -> int:
-        return len(self.doc)
-
-    def cleanup_pdf_doc(self):
-        if self.doc is not None:
-            self.doc.close()
+        return self.page_count
 
     def font_flags_to_format(self, flags: Optional[int]) -> Set[str]:
         if flags is None:
@@ -166,7 +170,7 @@ def normalize_spaces(text):
             text = text.replace(space, ' ')
         return text
 
-    def pdftext_extraction(self) -> ProviderPageLines:
+    def pdftext_extraction(self, doc: PdfDocument) -> ProviderPageLines:
         page_lines: ProviderPageLines = {}
         page_char_blocks = dictionary_output(
             self.filepath,
@@ -185,7 +189,7 @@ def pdftext_extraction(self) -> ProviderPageLines:
         for page in page_char_blocks:
             page_id = page["page"]
             lines: List[ProviderOutput] = []
-            if not self.check_page(page_id):
+            if not self.check_page(page_id, doc):
                 continue
 
             for block in page["blocks"]:
@@ -247,8 +251,8 @@ def check_line_spans(self, page_lines: List[ProviderOutput]) -> bool:
             return False
         return True
 
-    def check_page(self, page_id: int) -> bool:
-        page = self.doc.get_page(page_id)
+    def check_page(self, page_id: int, doc: PdfDocument) -> bool:
+        page = doc.get_page(page_id)
         page_bbox = PolygonBox.from_bbox(page.get_bbox())
         try:
             page_objs = list(page.get_objects(filter=[pdfium_c.FPDF_PAGEOBJ_TEXT, pdfium_c.FPDF_PAGEOBJ_IMAGE]))
@@ -322,7 +326,8 @@ def _render_image(pdf: pdfium.PdfDocument, idx: int, dpi: int) -> Image.Image:
         return image
 
     def get_images(self, idxs: List[int], dpi: int) -> List[Image.Image]:
-        images = [self._render_image(self.doc, idx, dpi) for idx in idxs]
+        with self.get_doc() as doc:
+            images = [self._render_image(doc, idx, dpi) for idx in idxs]
         return images
 
     def get_page_bbox(self, idx: int) -> PolygonBox | None:
diff --git a/marker/scripts/convert.py b/marker/scripts/convert.py
index 449b7b55..049fbc86 100644
--- a/marker/scripts/convert.py
+++ b/marker/scripts/convert.py
@@ -1,3 +1,4 @@
+import atexit
 import os
 
 os.environ["GRPC_VERBOSITY"] = "ERROR"
@@ -11,6 +12,7 @@
 import click
 import torch.multiprocessing as mp
 from tqdm import tqdm
+import gc
 
 from marker.config.parser import ConfigParser
 from marker.config.printer import CustomClickPrinter
@@ -29,10 +31,16 @@ def worker_init(model_dict):
     global model_refs
     model_refs = model_dict
 
+    # Ensure we clean up the model references on exit
+    atexit.register(worker_exit)
+
 
 def worker_exit():
     global model_refs
-    del model_refs
+    try:
+        del model_refs
+    except Exception:
+        pass
 
 
 def process_single_pdf(args):
@@ -45,10 +53,14 @@ def process_single_pdf(args):
         return
 
     converter_cls = config_parser.get_converter_cls()
+    config_dict = config_parser.generate_config_dict()
+    config_dict["disable_tqdm"] = True
 
     try:
+        if cli_options.get("debug_print"):
+            print(f"Converting {fpath}")
         converter = converter_cls(
-            config=config_parser.generate_config_dict(),
+            config=config_dict,
             artifact_dict=model_refs,
             processor_list=config_parser.get_processors(),
             renderer=config_parser.get_renderer(),
@@ -57,9 +69,15 @@ def process_single_pdf(args):
         rendered = converter(fpath)
         out_folder = config_parser.get_output_folder(fpath)
         save_output(rendered, out_folder, base_name)
+        if cli_options.get("debug_print"):
+            print(f"Converted {fpath}")
+        del rendered
+        del converter
     except Exception as e:
         print(f"Error converting {fpath}: {e}")
         print(traceback.format_exc())
+    finally:
+        gc.collect()
 
 
 @click.command(cls=CustomClickPrinter)
@@ -69,6 +87,8 @@ def process_single_pdf(args):
 @click.option("--max_files", type=int, default=None, help="Maximum number of pdfs to convert")
 @click.option("--workers", type=int, default=5, help="Number of worker processes to use.")
 @click.option("--skip_existing", is_flag=True, default=False, help="Skip existing converted files.")
+@click.option("--debug_print", is_flag=True, default=False, help="Print debug information.")
+@click.option("--max_tasks_per_worker", type=int, default=10, help="Maximum number of tasks per worker process.")
 @ConfigParser.common_options
 def convert_cli(in_folder: str, **kwargs):
     in_folder = os.path.abspath(in_folder)
@@ -106,10 +126,11 @@ def convert_cli(in_folder: str, **kwargs):
     print(f"Converting {len(files_to_convert)} pdfs in chunk {kwargs['chunk_idx'] + 1}/{kwargs['num_chunks']} with {total_processes} processes and saving to {kwargs['output_dir']}")
     task_args = [(f, kwargs) for f in files_to_convert]
 
-    with mp.Pool(processes=total_processes, initializer=worker_init, initargs=(model_dict,)) as pool:
-        list(tqdm(pool.imap(process_single_pdf, task_args), total=len(task_args), desc="Processing PDFs", unit="pdf"))
-
-        pool._worker_handler.terminate = worker_exit
+    with mp.Pool(processes=total_processes, initializer=worker_init, initargs=(model_dict,), maxtasksperchild=kwargs["max_tasks_per_worker"]) as pool:
+        pbar = tqdm(total=len(task_args), desc="Processing PDFs", unit="pdf")
+        for _ in pool.imap_unordered(process_single_pdf, task_args):
+            pbar.update(1)
+        pbar.close()
 
     # Delete all CUDA tensors
     del model_dict
\ No newline at end of file
diff --git a/marker/scripts/run_streamlit_app.py b/marker/scripts/run_streamlit_app.py
index 5c9ab327..e364f4f1 100644
--- a/marker/scripts/run_streamlit_app.py
+++ b/marker/scripts/run_streamlit_app.py
@@ -5,5 +5,5 @@
 def streamlit_app_cli():
     cur_dir = os.path.dirname(os.path.abspath(__file__))
     app_path = os.path.join(cur_dir, "streamlit_app.py")
-    cmd = ["streamlit", "run", app_path]
+    cmd = ["streamlit", "run", app_path, "--server.fileWatcherType", "none"]
     subprocess.run(cmd, env={**os.environ, "IN_STREAMLIT": "true"})
diff --git a/marker/scripts/streamlit_app.py b/marker/scripts/streamlit_app.py
index de7ce628..96d97234 100644
--- a/marker/scripts/streamlit_app.py
+++ b/marker/scripts/streamlit_app.py
@@ -183,10 +183,11 @@ def block_display(image: Image, blocks: dict | None = None, dpi=96):
     st.stop()
 
 # Run Marker
-with tempfile.NamedTemporaryFile(suffix=".pdf", mode="wb+") as temp_pdf:
-    temp_pdf.write(in_file.getvalue())
-    temp_pdf.seek(0)
-    filename = temp_pdf.name
+with tempfile.TemporaryDirectory() as tmp_dir:
+    temp_pdf = os.path.join(tmp_dir, 'temp.pdf')
+    with open(temp_pdf, 'wb') as f:
+        f.write(in_file.getvalue())
+    
     cli_options = {
         "output_format": output_format,
         "page_range": page_range,
@@ -198,7 +199,7 @@ def block_display(image: Image, blocks: dict | None = None, dpi=96):
     }
     config_parser = ConfigParser(cli_options)
     rendered = convert_pdf(
-        filename,
+        temp_pdf,
         config_parser
     )
     page_range = config_parser.generate_config_dict()["page_range"]
diff --git a/marker/services/ollama.py b/marker/services/ollama.py
index 25308aed..c52f9ba7 100644
--- a/marker/services/ollama.py
+++ b/marker/services/ollama.py
@@ -62,6 +62,10 @@ def __call__(
             response = requests.post(url, json=payload, headers=headers)
             response.raise_for_status()
             response_data = response.json()
+
+            total_tokens = response_data["prompt_eval_count"] + response_data["eval_count"]
+            block.update_metadata(llm_request_count=1, llm_tokens_used=total_tokens)
+
             data = response_data["response"]
             return json.loads(data)
         except Exception as e:
diff --git a/poetry.lock b/poetry.lock
index 45ac5263..13638e5c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2267,20 +2267,20 @@ dill = ">=0.3.8"
 
 [[package]]
 name = "narwhals"
-version = "1.26.0"
+version = "1.27.1"
 description = "Extremely lightweight compatibility layer between dataframe libraries"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "narwhals-1.26.0-py3-none-any.whl", hash = "sha256:4af8bbdea9e45638bb9a981568a8dfa880e40eb7dcf740d19fd32aea79223c6f"},
-    {file = "narwhals-1.26.0.tar.gz", hash = "sha256:b9d7605bf1d97a9d87783a69748c39150964e2a1ab0e5a6fef3e59e56772639e"},
+    {file = "narwhals-1.27.1-py3-none-any.whl", hash = "sha256:71e4a126007886e3dd9d71d0d5921ebd2e8c1f9be9c405fe11850ece2b066c59"},
+    {file = "narwhals-1.27.1.tar.gz", hash = "sha256:68505d0cee1e6c00382ac8b65e922f8b694a11cbe482a057fa63139de8d0ea03"},
 ]
 
 [package.extras]
 core = ["duckdb", "pandas", "polars", "pyarrow", "pyarrow-stubs"]
 cudf = ["cudf (>=24.10.0)"]
 dask = ["dask[dataframe] (>=2024.8)"]
-dev = ["covdefaults", "hypothesis", "pre-commit", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
+dev = ["covdefaults", "hypothesis", "mypy (>=1.15.0,<1.16.0)", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
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@@ -2290,6 +2290,8 @@ pandas = ["pandas (>=0.25.3)"]
 polars = ["polars (>=0.20.3)"]
 pyarrow = ["pyarrow (>=11.0.0)"]
 pyspark = ["pyspark (>=3.5.0)"]
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+typing = ["mypy (>=1.15.0,<1.16.0)", "pandas-stubs", "typing-extensions"]
 
 [[package]]
 name = "nbclient"
@@ -2442,66 +2444,66 @@ test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"
 
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 [[package]]
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+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
 dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
@@ -4934,8 +4935,8 @@ tokenizers = ["tokenizers (>=0.21,<0.22)"]
 torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.24.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"]
-video = ["av (==9.2.0)"]
+torchhub = ["filelock", "huggingface-hub (>=0.26.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"]
+video = ["av"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
@@ -5451,4 +5452,4 @@ propcache = ">=0.2.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "b99e8e69eb72201880291be15253a25827fd226a99ed229a52ff1e0840f8482a"
+content-hash = "52ffe79c50c19540398bf89ba14bc249a63b257b3f286971fd2af07c61986d77"
diff --git a/pyproject.toml b/pyproject.toml
index 4fe2ca93..f39e51dd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "marker-pdf"
-version = "1.5.2"
+version = "1.5.3"
 description = "Convert PDF to markdown with high speed and accuracy."
 authors = ["Vik Paruchuri <github@vikas.sh>"]
 readme = "README.md"
@@ -28,7 +28,7 @@ ftfy = "^6.1.1"
 rapidfuzz = "^3.8.1"
 surya-ocr = "~0.11.1"
 regex = "^2024.4.28"
-pdftext = "~0.5.1"
+pdftext = "~0.6.0"
 markdownify = "^0.13.1"
 click = "^8.1.7"
 markdown2 = "^2.5.2"