Chore(deps): Bump the major-versions group with 2 updates

Bumps the major-versions group with 2 updates: [pytest-rerunfailures](https://github.com/pytest-dev/pytest-rerunfailures) and [types-setuptools](https://github.com/typeshed-internal/stub_uploader).


Updates `pytest-rerunfailures` from 15.1 to 16.0.1
- [Changelog](https://github.com/pytest-dev/pytest-rerunfailures/blob/master/CHANGES.rst)
- [Commits](https://github.com/pytest-dev/pytest-rerunfailures/compare/15.1...16.0.1)

Updates `types-setuptools` from 75.8.2.20250301 to 80.9.0.20250822
- [Commits](https://github.com/typeshed-internal/stub_uploader/commits)

---
updated-dependencies:
- dependency-name: pytest-rerunfailures
  dependency-version: 16.0.1
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: major-versions
- dependency-name: types-setuptools
  dependency-version: 80.9.0.20250822
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: major-versions
...

Signed-off-by: dependabot[bot] <support@github.com>

docs/configuration.md

@@ -1805,23 +1805,3 @@ password. All of these options come from their similarly-named [Django settings]
 #### [`PAPERLESS_EMAIL_USE_SSL=<bool>`](#PAPERLESS_EMAIL_USE_SSL) {#PAPERLESS_EMAIL_USE_SSL}
 
 : Defaults to false.
-
-## Remote OCR
-
-#### [`PAPERLESS_REMOTE_OCR_ENGINE=<str>`](#PAPERLESS_REMOTE_OCR_ENGINE) {#PAPERLESS_REMOTE_OCR_ENGINE}
-
-: The remote OCR engine to use. Currently only Azure AI is supported as "azureai".
-
-    Defaults to None, which disables remote OCR.
-
-#### [`PAPERLESS_REMOTE_OCR_API_KEY=<str>`](#PAPERLESS_REMOTE_OCR_API_KEY) {#PAPERLESS_REMOTE_OCR_API_KEY}
-
-: The API key to use for the remote OCR engine.
-
-    Defaults to None.
-
-#### [`PAPERLESS_REMOTE_OCR_ENDPOINT=<str>`](#PAPERLESS_REMOTE_OCR_ENDPOINT) {#PAPERLESS_REMOTE_OCR_ENDPOINT}
-
-: The endpoint to use for the remote OCR engine. This is required for Azure AI.
-
-    Defaults to None.

docs/index.md

@@ -25,10 +25,9 @@ physical documents into a searchable online archive so you can keep, well, _less
 ## Features
 
 -   **Organize and index** your scanned documents with tags, correspondents, types, and more.
--   _Your_ data is stored locally on _your_ server and is never transmitted or shared in any way, unless you explicitly choose to do so.
+-   _Your_ data is stored locally on _your_ server and is never transmitted or shared in any way.
 -   Performs **OCR** on your documents, adding searchable and selectable text, even to documents scanned with only images.
-    -   Utilizes the open-source Tesseract engine to recognize more than 100 languages.
+-   Utilizes the open-source Tesseract engine to recognize more than 100 languages.
-    -   _New!_ Supports remote OCR with Azure AI (opt-in).
 -   Documents are saved as PDF/A format which is designed for long term storage, alongside the unaltered originals.
 -   Uses machine-learning to automatically add tags, correspondents and document types to your documents.
 -   Supports PDF documents, images, plain text files, Office documents (Word, Excel, PowerPoint, and LibreOffice equivalents)[^1] and more.

docs/usage.md

@@ -882,21 +882,6 @@ how regularly you intend to scan documents and use paperless.
     performed the task associated with the document, move it to the
     inbox.
 
-## Remote OCR
-
-!!! important
-
-    This feature is disabled by default and will always remain strictly "opt-in".
-
-Paperless-ngx supports performing OCR on documents using remote services. At the moment, this is limited to
-[Microsoft's Azure "Document Intelligence" service](https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence).
-This is of course a paid service (with a free tier) which requires an Azure account and subscription. Azure AI is not affiliated with
-Paperless-ngx in any way. When enabled, Paperless-ngx will automatically send appropriate documents to Azure for OCR processing, bypassing
-the local OCR engine. See the [configuration](configuration.md#PAPERLESS_REMOTE_OCR_ENGINE) options for more details.
-
-Additionally, when using a commercial service with this feature, consider both potential costs as well as any associated file size
-or page limitations (e.g. with a free tier).
-
 ## Architecture
 
 Paperless-ngx consists of the following components:

pyproject.toml

@@ -15,7 +15,6 @@ classifiers = [
 # This will allow testing to not install a webserver, mysql, etc
 
 dependencies = [
-  "azure-ai-documentintelligence>=1.0.2",
   "babel>=2.17",
   "bleach~=6.2.0",
   "celery[redis]~=5.5.1",
@@ -34,7 +33,7 @@ dependencies = [
   "django-cors-headers~=4.9.0",
   "django-extensions~=4.1",
   "django-filter~=25.1",
-  "django-guardian~=3.1.2",
+  "django-guardian~=3.2.0",
   "django-multiselectfield~=1.0.1",
   "django-soft-delete~=1.0.18",
   "django-treenode>=0.23.2",
@@ -234,7 +233,6 @@ testpaths = [
   "src/paperless_tesseract/tests/",
   "src/paperless_tika/tests",
   "src/paperless_text/tests/",
-  "src/paperless_remote/tests/",
 ]
 addopts = [
   "--pythonwarnings=all",

src/paperless/settings.py

@@ -322,7 +322,6 @@ INSTALLED_APPS = [
     "paperless_tesseract.apps.PaperlessTesseractConfig",
     "paperless_text.apps.PaperlessTextConfig",
     "paperless_mail.apps.PaperlessMailConfig",
-    "paperless_remote.apps.PaperlessRemoteParserConfig",
     "django.contrib.admin",
     "rest_framework",
     "rest_framework.authtoken",
@@ -1390,10 +1389,3 @@ WEBHOOKS_ALLOW_INTERNAL_REQUESTS = __get_boolean(
     "PAPERLESS_WEBHOOKS_ALLOW_INTERNAL_REQUESTS",
     "true",
 )
-
-###############################################################################
-# Remote Parser                                                               #
-###############################################################################
-REMOTE_OCR_ENGINE = os.getenv("PAPERLESS_REMOTE_OCR_ENGINE")
-REMOTE_OCR_API_KEY = os.getenv("PAPERLESS_REMOTE_OCR_API_KEY")
-REMOTE_OCR_ENDPOINT = os.getenv("PAPERLESS_REMOTE_OCR_ENDPOINT")

src/paperless_remote/__init__.py

@@ -1,4 +0,0 @@
-# this is here so that django finds the checks.
-from paperless_remote.checks import check_remote_parser_configured
-
-__all__ = ["check_remote_parser_configured"]

src/paperless_remote/apps.py

@@ -1,14 +0,0 @@
-from django.apps import AppConfig
-
-from paperless_remote.signals import remote_consumer_declaration
-
-
-class PaperlessRemoteParserConfig(AppConfig):
-    name = "paperless_remote"
-
-    def ready(self):
-        from documents.signals import document_consumer_declaration
-
-        document_consumer_declaration.connect(remote_consumer_declaration)
-
-        AppConfig.ready(self)

src/paperless_remote/checks.py

@@ -1,17 +0,0 @@
-from django.conf import settings
-from django.core.checks import Error
-from django.core.checks import register
-
-
-@register()
-def check_remote_parser_configured(app_configs, **kwargs):
-    if settings.REMOTE_OCR_ENGINE == "azureai" and not (
-        settings.REMOTE_OCR_ENDPOINT and settings.REMOTE_OCR_API_KEY
-    ):
-        return [
-            Error(
-                "Azure AI remote parser requires endpoint and API key to be configured.",
-            ),
-        ]
-
-    return []

src/paperless_remote/parsers.py

@@ -1,113 +0,0 @@
-from pathlib import Path
-
-from django.conf import settings
-
-from paperless_tesseract.parsers import RasterisedDocumentParser
-
-
-class RemoteEngineConfig:
-    def __init__(
-        self,
-        engine: str,
-        api_key: str | None = None,
-        endpoint: str | None = None,
-    ):
-        self.engine = engine
-        self.api_key = api_key
-        self.endpoint = endpoint
-
-    def engine_is_valid(self):
-        valid = self.engine in ["azureai"] and self.api_key is not None
-        if self.engine == "azureai":
-            valid = valid and self.endpoint is not None
-        return valid
-
-
-class RemoteDocumentParser(RasterisedDocumentParser):
-    """
-    This parser uses a remote OCR engine to parse documents. Currently, it supports Azure AI Vision
-    as this is the only service that provides a remote OCR API with text-embedded PDF output.
-    """
-
-    logging_name = "paperless.parsing.remote"
-
-    def get_settings(self) -> RemoteEngineConfig:
-        """
-        Returns the configuration for the remote OCR engine, loaded from Django settings.
-        """
-        return RemoteEngineConfig(
-            engine=settings.REMOTE_OCR_ENGINE,
-            api_key=settings.REMOTE_OCR_API_KEY,
-            endpoint=settings.REMOTE_OCR_ENDPOINT,
-        )
-
-    def supported_mime_types(self):
-        if self.settings.engine_is_valid():
-            return {
-                "application/pdf": ".pdf",
-                "image/png": ".png",
-                "image/jpeg": ".jpg",
-                "image/tiff": ".tiff",
-                "image/bmp": ".bmp",
-                "image/gif": ".gif",
-                "image/webp": ".webp",
-            }
-        else:
-            return {}
-
-    def azure_ai_vision_parse(
-        self,
-        file: Path,
-    ) -> str | None:
-        """
-        Uses Azure AI Vision to parse the document and return the text content.
-        It requests a searchable PDF output with embedded text.
-        The PDF is saved to the archive_path attribute.
-        Returns the text content extracted from the document.
-        If the parsing fails, it returns None.
-        """
-        from azure.ai.documentintelligence import DocumentIntelligenceClient
-        from azure.ai.documentintelligence.models import AnalyzeDocumentRequest
-        from azure.ai.documentintelligence.models import AnalyzeOutputOption
-        from azure.ai.documentintelligence.models import DocumentContentFormat
-        from azure.core.credentials import AzureKeyCredential
-
-        client = DocumentIntelligenceClient(
-            endpoint=self.settings.endpoint,
-            credential=AzureKeyCredential(self.settings.api_key),
-        )
-
-        with file.open("rb") as f:
-            analyze_request = AnalyzeDocumentRequest(bytes_source=f.read())
-            poller = client.begin_analyze_document(
-                model_id="prebuilt-read",
-                body=analyze_request,
-                output_content_format=DocumentContentFormat.TEXT,
-                output=[AnalyzeOutputOption.PDF],  # request searchable PDF output
-                content_type="application/json",
-            )
-
-        poller.wait()
-        result_id = poller.details["operation_id"]
-        result = poller.result()
-
-        # Download the PDF with embedded text
-        self.archive_path = self.tempdir / "archive.pdf"
-        with self.archive_path.open("wb") as f:
-            for chunk in client.get_analyze_result_pdf(
-                model_id="prebuilt-read",
-                result_id=result_id,
-            ):
-                f.write(chunk)
-
-        client.close()
-        return result.content
-
-    def parse(self, document_path: Path, mime_type, file_name=None):
-        if not self.settings.engine_is_valid():
-            self.log.warning(
-                "No valid remote parser engine is configured, content will be empty.",
-            )
-            self.text = ""
-        elif self.settings.engine == "azureai":
-            self.text = self.azure_ai_vision_parse(document_path)

src/paperless_remote/signals.py

@@ -1,18 +0,0 @@
-def get_parser(*args, **kwargs):
-    from paperless_remote.parsers import RemoteDocumentParser
-
-    return RemoteDocumentParser(*args, **kwargs)
-
-
-def get_supported_mime_types():
-    from paperless_remote.parsers import RemoteDocumentParser
-
-    return RemoteDocumentParser(None).supported_mime_types()
-
-
-def remote_consumer_declaration(sender, **kwargs):
-    return {
-        "parser": get_parser,
-        "weight": 5,
-        "mime_types": get_supported_mime_types(),
-    }

src/paperless_remote/tests/test_checks.py

@@ -1,24 +0,0 @@
-from unittest import TestCase
-
-from django.test import override_settings
-
-from paperless_remote import check_remote_parser_configured
-
-
-class TestChecks(TestCase):
-    @override_settings(REMOTE_OCR_ENGINE=None)
-    def test_no_engine(self):
-        msgs = check_remote_parser_configured(None)
-        self.assertEqual(len(msgs), 0)
-
-    @override_settings(REMOTE_OCR_ENGINE="azureai")
-    @override_settings(REMOTE_OCR_API_KEY="somekey")
-    @override_settings(REMOTE_OCR_ENDPOINT=None)
-    def test_azure_no_endpoint(self):
-        msgs = check_remote_parser_configured(None)
-        self.assertEqual(len(msgs), 1)
-        self.assertTrue(
-            msgs[0].msg.startswith(
-                "Azure AI remote parser requires endpoint and API key to be configured.",
-            ),
-        )

src/paperless_remote/tests/test_parser.py

@@ -1,101 +0,0 @@
-import uuid
-from pathlib import Path
-from unittest import mock
-
-from django.test import TestCase
-from django.test import override_settings
-
-from documents.tests.utils import DirectoriesMixin
-from documents.tests.utils import FileSystemAssertsMixin
-from paperless_remote.parsers import RemoteDocumentParser
-from paperless_remote.signals import get_parser
-
-
-class TestParser(DirectoriesMixin, FileSystemAssertsMixin, TestCase):
-    SAMPLE_FILES = Path(__file__).resolve().parent / "samples"
-
-    def assertContainsStrings(self, content: str, strings: list[str]):
-        # Asserts that all strings appear in content, in the given order.
-        indices = []
-        for s in strings:
-            if s in content:
-                indices.append(content.index(s))
-            else:
-                self.fail(f"'{s}' is not in '{content}'")
-        self.assertListEqual(indices, sorted(indices))
-
-    @mock.patch("paperless_tesseract.parsers.run_subprocess")
-    @mock.patch("azure.ai.documentintelligence.DocumentIntelligenceClient")
-    def test_get_text_with_azure(self, mock_client_cls, mock_subprocess):
-        # Arrange mock Azure client
-        mock_client = mock.Mock()
-        mock_client_cls.return_value = mock_client
-
-        # Simulate poller result and its `.details`
-        mock_poller = mock.Mock()
-        mock_poller.wait.return_value = None
-        mock_poller.details = {"operation_id": "fake-op-id"}
-        mock_client.begin_analyze_document.return_value = mock_poller
-        mock_poller.result.return_value.content = "This is a test document."
-
-        # Return dummy PDF bytes
-        mock_client.get_analyze_result_pdf.return_value = [
-            b"%PDF-",
-            b"1.7 ",
-            b"FAKEPDF",
-        ]
-
-        # Simulate pdftotext by writing dummy text to sidecar file
-        def fake_run(cmd, *args, **kwargs):
-            with Path(cmd[-1]).open("w", encoding="utf-8") as f:
-                f.write("This is a test document.")
-
-        mock_subprocess.side_effect = fake_run
-
-        with override_settings(
-            REMOTE_OCR_ENGINE="azureai",
-            REMOTE_OCR_API_KEY="somekey",
-            REMOTE_OCR_ENDPOINT="https://endpoint.cognitiveservices.azure.com",
-        ):
-            parser = get_parser(uuid.uuid4())
-            parser.parse(
-                self.SAMPLE_FILES / "simple-digital.pdf",
-                "application/pdf",
-            )
-
-            self.assertContainsStrings(
-                parser.text.strip(),
-                ["This is a test document."],
-            )
-
-    @override_settings(
-        REMOTE_OCR_ENGINE="azureai",
-        REMOTE_OCR_API_KEY="key",
-        REMOTE_OCR_ENDPOINT="https://endpoint.cognitiveservices.azure.com",
-    )
-    def test_supported_mime_types_valid_config(self):
-        parser = RemoteDocumentParser(uuid.uuid4())
-        expected_types = {
-            "application/pdf": ".pdf",
-            "image/png": ".png",
-            "image/jpeg": ".jpg",
-            "image/tiff": ".tiff",
-            "image/bmp": ".bmp",
-            "image/gif": ".gif",
-            "image/webp": ".webp",
-        }
-        self.assertEqual(parser.supported_mime_types(), expected_types)
-
-    def test_supported_mime_types_invalid_config(self):
-        parser = get_parser(uuid.uuid4())
-        self.assertEqual(parser.supported_mime_types(), {})
-
-    @override_settings(
-        REMOTE_OCR_ENGINE=None,
-        REMOTE_OCR_API_KEY=None,
-        REMOTE_OCR_ENDPOINT=None,
-    )
-    def test_parse_with_invalid_config(self):
-        parser = get_parser(uuid.uuid4())
-        parser.parse(self.SAMPLE_FILES / "simple-digital.pdf", "application/pdf")
-        self.assertEqual(parser.text, "")

uv.lock

@@ -95,34 +95,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/af/cc/55a32a2c98022d88812b5986d2a92c4ff3ee087e83b712ebc703bba452bf/Automat-24.8.1-py3-none-any.whl", hash = "sha256:bf029a7bc3da1e2c24da2343e7598affaa9f10bf0ab63ff808566ce90551e02a", size = 42585, upload-time = "2024-08-19T17:31:56.729Z" },
 ]
 
-[[package]]
-name = "azure-ai-documentintelligence"
-version = "1.0.2"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "azure-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "isodate", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/44/7b/8115cd713e2caa5e44def85f2b7ebd02a74ae74d7113ba20bdd41fd6dd80/azure_ai_documentintelligence-1.0.2.tar.gz", hash = "sha256:4d75a2513f2839365ebabc0e0e1772f5601b3a8c9a71e75da12440da13b63484", size = 170940 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/d9/75/c9ec040f23082f54ffb1977ff8f364c2d21c79a640a13d1c1809e7fd6b1a/azure_ai_documentintelligence-1.0.2-py3-none-any.whl", hash = "sha256:e1fb446abbdeccc9759d897898a0fe13141ed29f9ad11fc705f951925822ed59", size = 106005 },
-]
-
-[[package]]
-name = "azure-core"
-version = "1.33.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "requests", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "six", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/75/aa/7c9db8edd626f1a7d99d09ef7926f6f4fb34d5f9fa00dc394afdfe8e2a80/azure_core-1.33.0.tar.gz", hash = "sha256:f367aa07b5e3005fec2c1e184b882b0b039910733907d001c20fb08ebb8c0eb9", size = 295633 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/07/b7/76b7e144aa53bd206bf1ce34fa75350472c3f69bf30e5c8c18bc9881035d/azure_core-1.33.0-py3-none-any.whl", hash = "sha256:9b5b6d0223a1d38c37500e6971118c1e0f13f54951e6893968b38910bc9cda8f", size = 207071 },
-]
-
 [[package]]
 name = "babel"
 version = "2.17.0"
@@ -810,15 +782,15 @@ wheels = [
 
 [[package]]
 name = "django-guardian"
-version = "3.1.3"
+version = "3.2.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "django", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "typing-extensions", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux')" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/81/d3/436a44c7688fce1a978224c349ba66c95bf9103d548596b7a2694fd58c03/django_guardian-3.1.3.tar.gz", hash = "sha256:12b5e66c18c97088b0adfa033ab14be68c321c170fd3ec438898271f00a71699", size = 93571, upload-time = "2025-09-10T08:36:23.928Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/e2/f9/bcff6a931298b9eb55e1550b55ab964fab747f594ba6d2d81cbe19736c5f/django_guardian-3.2.0.tar.gz", hash = "sha256:9e18ecd2e211b665972690c2d03d27bce0ea4932b5efac24a4bb9d526950a69e", size = 99940, upload-time = "2025-09-16T10:35:53.609Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/83/fc/6fd7b8bc7c52cbbfd1714673cfd28ff0b3fae32265c52d492ec0dee22cb8/django_guardian-3.1.3-py3-none-any.whl", hash = "sha256:90e28b40eea65c326a3a961908cc300f9e1cd69b74e88d38317a9befa167b71c", size = 127687, upload-time = "2025-09-10T08:36:22.533Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/23/63a7d868373a73d25c4a5c2dd3cce3aaeb22fbee82560d42b6e93ba01403/django_guardian-3.2.0-py3-none-any.whl", hash = "sha256:0768565a057988a93fc4a1d93649c4a794abfd7473a8408a079cfbf83c559d77", size = 134674, upload-time = "2025-09-16T10:35:51.69Z" },
 ]
 
 [[package]]
@@ -835,14 +807,14 @@ wheels = [
 
 [[package]]
 name = "django-soft-delete"
-version = "1.0.19"
+version = "1.0.21"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "django", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ce/77/44a6615a7da3ca0ddc624039d399d17d6c3503e1c2dad08b443f8d4a3570/django_soft_delete-1.0.19.tar.gz", hash = "sha256:c67ee8920e1456eca84cc59b3304ef27fa9d476b516be726ce7e1fc558502908", size = 11993, upload-time = "2025-06-19T20:32:20.373Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/da/bf/13996c18bffee3bbcf294830c1737bfb5564164b8319c51e6714b6bdf783/django_soft_delete-1.0.21.tar.gz", hash = "sha256:542bd4650d2769105a4363ea7bb7fbdb3c28429dbaa66417160f8f4b5dc689d5", size = 21153, upload-time = "2025-09-17T08:46:30.476Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/96/9e/f8b5a02cdcba606eb40fbe30fe0c9c7493a2c18f83ec3b4620e4e86a34d3/django_soft_delete-1.0.19-py3-none-any.whl", hash = "sha256:46aa5fab513db566d3d7a832529ed27245b5900eaaa705535bc7674055801a46", size = 10889, upload-time = "2025-06-19T20:32:19.083Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/e6/8f4fed14499c63e35ca33cf9f424ad2e14e963ec5545594d7c7dc2f710f4/django_soft_delete-1.0.21-py3-none-any.whl", hash = "sha256:dd91e671d9d431ff96f4db727ce03e7fbb4008ae4541b1d162d5d06cc9becd2a", size = 18681, upload-time = "2025-09-17T08:46:29.272Z" },
 ]
 
 [[package]]
@@ -1440,15 +1412,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/c7/fc/4e5a141c3f7c7bed550ac1f69e599e92b6be449dd4677ec09f325cad0955/inotifyrecursive-0.3.5-py3-none-any.whl", hash = "sha256:7e5f4a2e1dc2bef0efa3b5f6b339c41fb4599055a2b54909d020e9e932cc8d2f", size = 8009, upload-time = "2020-11-20T12:38:46.981Z" },
 ]
 
-[[package]]
-name = "isodate"
-version = "0.7.2"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/54/4d/e940025e2ce31a8ce1202635910747e5a87cc3a6a6bb2d00973375014749/isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6", size = 29705 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/15/aa/0aca39a37d3c7eb941ba736ede56d689e7be91cab5d9ca846bde3999eba6/isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15", size = 22320 },
-]
-
 [[package]]
 name = "jinja2"
 version = "3.1.6"
@@ -2069,7 +2032,6 @@ name = "paperless-ngx"
 version = "2.18.4"
 source = { virtual = "." }
 dependencies = [
-    { name = "azure-ai-documentintelligence", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "babel", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "bleach", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "celery", extra = ["redis"], marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -2207,7 +2169,6 @@ typing = [
 
 [package.metadata]
 requires-dist = [
-    { name = "azure-ai-documentintelligence", specifier = ">=1.0.2" },
     { name = "babel", specifier = ">=2.17" },
     { name = "bleach", specifier = "~=6.2.0" },
     { name = "celery", extras = ["redis"], specifier = "~=5.5.1" },
@@ -2224,7 +2185,7 @@ requires-dist = [
     { name = "django-cors-headers", specifier = "~=4.9.0" },
     { name = "django-extensions", specifier = "~=4.1" },
     { name = "django-filter", specifier = "~=25.1" },
-    { name = "django-guardian", specifier = "~=3.1.2" },
+    { name = "django-guardian", specifier = "~=3.2.0" },
     { name = "django-multiselectfield", specifier = "~=1.0.1" },
     { name = "django-soft-delete", specifier = "~=1.0.18" },
     { name = "django-treenode", specifier = ">=0.23.2" },
@@ -2845,15 +2806,15 @@ wheels = [
 
 [[package]]
 name = "pytest-rerunfailures"
-version = "15.1"
+version = "16.0.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a0/78/e6e358545537a8e82c4dc91e72ec0d6f80546a3786dd27c76b06ca09db77/pytest_rerunfailures-15.1.tar.gz", hash = "sha256:c6040368abd7b8138c5b67288be17d6e5611b7368755ce0465dda0362c8ece80", size = 26981, upload-time = "2025-05-08T06:36:33.483Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/53/a543a76f922a5337d10df22441af8bf68f1b421cadf9aedf8a77943b81f6/pytest_rerunfailures-16.0.1.tar.gz", hash = "sha256:ed4b3a6e7badb0a720ddd93f9de1e124ba99a0cb13bc88561b3c168c16062559", size = 27612, upload-time = "2025-09-02T06:48:25.193Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f3/30/11d836ff01c938969efa319b4ebe2374ed79d28043a12bfc908577aab9f3/pytest_rerunfailures-15.1-py3-none-any.whl", hash = "sha256:f674c3594845aba8b23c78e99b1ff8068556cc6a8b277f728071fdc4f4b0b355", size = 13274, upload-time = "2025-05-08T06:36:32.029Z" },
+    { url = "https://files.pythonhosted.org/packages/38/73/67dc14cda1942914e70fbb117fceaf11e259362c517bdadd76b0dd752524/pytest_rerunfailures-16.0.1-py3-none-any.whl", hash = "sha256:0bccc0e3b0e3388275c25a100f7077081318196569a121217688ed05e58984b9", size = 13610, upload-time = "2025-09-02T06:48:23.615Z" },
 ]
 
 [[package]]
@@ -3820,11 +3781,11 @@ wheels = [
 
 [[package]]
 name = "types-colorama"
-version = "0.4.15.20240311"
+version = "0.4.15.20250801"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/59/73/0fb0b9fe4964b45b2a06ed41b60c352752626db46aa0fb70a49a9e283a75/types-colorama-0.4.15.20240311.tar.gz", hash = "sha256:a28e7f98d17d2b14fb9565d32388e419f4108f557a7d939a66319969b2b99c7a", size = 5608, upload-time = "2024-03-11T02:15:51.557Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/99/37/af713e7d73ca44738c68814cbacf7a655aa40ddd2e8513d431ba78ace7b3/types_colorama-0.4.15.20250801.tar.gz", hash = "sha256:02565d13d68963d12237d3f330f5ecd622a3179f7b5b14ee7f16146270c357f5", size = 10437, upload-time = "2025-08-01T03:48:22.605Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b7/83/6944b4fa01efb2e63ac62b791a8ddf0fee358f93be9f64b8f152648ad9d3/types_colorama-0.4.15.20240311-py3-none-any.whl", hash = "sha256:6391de60ddc0db3f147e31ecb230006a6823e81e380862ffca1e4695c13a0b8e", size = 5840, upload-time = "2024-03-11T02:15:50.43Z" },
+    { url = "https://files.pythonhosted.org/packages/95/3a/44ccbbfef6235aeea84c74041dc6dfee6c17ff3ddba782a0250e41687ec7/types_colorama-0.4.15.20250801-py3-none-any.whl", hash = "sha256:b6e89bd3b250fdad13a8b6a465c933f4a5afe485ea2e2f104d739be50b13eea9", size = 10743, upload-time = "2025-08-01T03:48:21.774Z" },
 ]
 
 [[package]]
@@ -3943,11 +3904,11 @@ wheels = [
 
 [[package]]
 name = "types-setuptools"
-version = "75.8.2.20250301"
+version = "80.9.0.20250822"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/f6/02/5f476d1a4f2bb23ba47c3aac6246cae1159d430937171e58860a9f1f47f8/types_setuptools-75.8.2.20250301.tar.gz", hash = "sha256:c900bceebfffc92a4abc3cfd4b3c39ead1a2298a73dae37e6bc09da7baf797a0", size = 48468, upload-time = "2025-03-01T02:51:55.248Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/19/bd/1e5f949b7cb740c9f0feaac430e301b8f1c5f11a81e26324299ea671a237/types_setuptools-80.9.0.20250822.tar.gz", hash = "sha256:070ea7716968ec67a84c7f7768d9952ff24d28b65b6594797a464f1b3066f965", size = 41296, upload-time = "2025-08-22T03:02:08.771Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f3/d8/aba63d60951fbec2917a9d2c8673605a57fdbfc9134268802988c99c7a4c/types_setuptools-75.8.2.20250301-py3-none-any.whl", hash = "sha256:3cc3e751db9e84eddf1e6d4f8c46bef2c77e6c25b0cd096f729ffa57d3d6a83a", size = 71841, upload-time = "2025-03-01T02:51:53.686Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/2d/475bf15c1cdc172e7a0d665b6e373ebfb1e9bf734d3f2f543d668b07a142/types_setuptools-80.9.0.20250822-py3-none-any.whl", hash = "sha256:53bf881cb9d7e46ed12c76ef76c0aaf28cfe6211d3fab12e0b83620b1a8642c3", size = 63179, upload-time = "2025-08-22T03:02:07.643Z" },
 ]
 
 [[package]]
@@ -4134,11 +4095,11 @@ wheels = [
 
 [[package]]
 name = "whitenoise"
-version = "6.10.0"
+version = "6.11.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/27/9a/4f4b84ff1f3a5c3cbc8070b6ecbbab6cd121c385244c9d24d80bb284190f/whitenoise-6.10.0.tar.gz", hash = "sha256:7b7e53de65d749cb1ce4a7100e751d9742e323b52746f9f93944c0d348ea2d02", size = 26412, upload-time = "2025-09-09T11:07:24.694Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/15/95/8c81ec6b6ebcbf8aca2de7603070ccf37dbb873b03f20708e0f7c1664bc6/whitenoise-6.11.0.tar.gz", hash = "sha256:0f5bfce6061ae6611cd9396a8231e088722e4fc67bc13a111be74c738d99375f", size = 26432, upload-time = "2025-09-18T09:16:10.995Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/cb/3b/4fa26e02935334fa0eb1422c938b1db796c55de7a432cc86b9d8cf97260c/whitenoise-6.10.0-py3-none-any.whl", hash = "sha256:bad74a40b33b055ba59731b6048dd08d5647f273b72bef922aa43ddd287b02da", size = 20194, upload-time = "2025-09-09T11:07:23.544Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/e9/4366332f9295fe0647d7d3251ce18f5615fbcb12d02c79a26f8dba9221b3/whitenoise-6.11.0-py3-none-any.whl", hash = "sha256:b2aeb45950597236f53b5342b3121c5de69c8da0109362aee506ce88e022d258", size = 20197, upload-time = "2025-09-18T09:16:09.754Z" },
 ]
 
 [[package]]