diff --git a/docling/cli/main.py b/docling/cli/main.py
index a83aecbf..e1ce289e 100644
--- a/docling/cli/main.py
+++ b/docling/cli/main.py
@@ -164,6 +164,11 @@ def convert(
     to_formats: List[OutputFormat] = typer.Option(
         None, "--to", help="Specify output formats. Defaults to Markdown."
     ),
+    headers: str = typer.Option(
+        None,
+        "--headers",
+        help="Specify http request headers used when fetching url input sources in the form of a JSON string",
+    ),
     image_export_mode: Annotated[
         ImageRefMode,
         typer.Option(
@@ -279,12 +284,19 @@ def convert(
     if from_formats is None:
         from_formats = [e for e in InputFormat]
 
+    parsed_headers: Optional[Dict[str, str]] = None
+    if headers is not None:
+        headers_t = TypeAdapter(Dict[str, str])
+        parsed_headers = headers_t.validate_json(headers)
+
     with tempfile.TemporaryDirectory() as tempdir:
         input_doc_paths: List[Path] = []
         for src in input_sources:
             try:
                 # check if we can fetch some remote url
-                source = resolve_source_to_path(source=src, workdir=Path(tempdir))
+                source = resolve_source_to_path(
+                    source=src, headers=parsed_headers, workdir=Path(tempdir)
+                )
                 input_doc_paths.append(source)
             except FileNotFoundError:
                 err_console.print(
@@ -390,7 +402,7 @@ def convert(
         start_time = time.time()
 
         conv_results = doc_converter.convert_all(
-            input_doc_paths, raises_on_error=abort_on_error
+            input_doc_paths, headers=parsed_headers, raises_on_error=abort_on_error
         )
 
         output.mkdir(parents=True, exist_ok=True)
diff --git a/docling/datamodel/document.py b/docling/datamodel/document.py
index 4ed7d577..136428e8 100644
--- a/docling/datamodel/document.py
+++ b/docling/datamodel/document.py
@@ -227,13 +227,18 @@ def unload(self):
 class _DocumentConversionInput(BaseModel):
 
     path_or_stream_iterator: Iterable[Union[Path, str, DocumentStream]]
+    headers: Optional[Dict[str, str]] = None
     limits: Optional[DocumentLimits] = DocumentLimits()
 
     def docs(
         self, format_options: Dict[InputFormat, "FormatOption"]
     ) -> Iterable[InputDocument]:
         for item in self.path_or_stream_iterator:
-            obj = resolve_source_to_stream(item) if isinstance(item, str) else item
+            obj = (
+                resolve_source_to_stream(item, self.headers)
+                if isinstance(item, str)
+                else item
+            )
             format = self._guess_format(obj)
             backend: Type[AbstractDocumentBackend]
             if format not in format_options.keys():
diff --git a/docling/document_converter.py b/docling/document_converter.py
index c9cbedd2..cb073949 100644
--- a/docling/document_converter.py
+++ b/docling/document_converter.py
@@ -176,6 +176,7 @@ def initialize_pipeline(self, format: InputFormat):
     def convert(
         self,
         source: Union[Path, str, DocumentStream],  # TODO review naming
+        headers: Optional[Dict[str, str]] = None,
         raises_on_error: bool = True,
         max_num_pages: int = sys.maxsize,
         max_file_size: int = sys.maxsize,
@@ -185,6 +186,7 @@ def convert(
             raises_on_error=raises_on_error,
             max_num_pages=max_num_pages,
             max_file_size=max_file_size,
+            headers=headers,
         )
         return next(all_res)
 
@@ -192,6 +194,7 @@ def convert(
     def convert_all(
         self,
         source: Iterable[Union[Path, str, DocumentStream]],  # TODO review naming
+        headers: Optional[Dict[str, str]] = None,
         raises_on_error: bool = True,  # True: raises on first conversion error; False: does not raise on conv error
         max_num_pages: int = sys.maxsize,
         max_file_size: int = sys.maxsize,
@@ -201,8 +204,7 @@ def convert_all(
             max_file_size=max_file_size,
         )
         conv_input = _DocumentConversionInput(
-            path_or_stream_iterator=source,
-            limits=limits,
+            path_or_stream_iterator=source, limits=limits, headers=headers
         )
         conv_res_iter = self._convert(conv_input, raises_on_error=raises_on_error)