diff --git a/surfsense_backend/alembic/versions/33_add_page_limits_to_user.py b/surfsense_backend/alembic/versions/33_add_page_limits_to_user.py
new file mode 100644
index 000000000..b400c2c2c
--- /dev/null
+++ b/surfsense_backend/alembic/versions/33_add_page_limits_to_user.py
@@ -0,0 +1,76 @@
+"""Add page limit fields to user table
+
+Revision ID: 33
+Revises: 32
+
+Changes:
+1. Add pages_limit column (Integer, default 500)
+2. Add pages_used column (Integer, default 0)
+"""
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "33"
+down_revision: str | None = "32"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    """Add page limit fields to user table."""
+
+    from sqlalchemy import inspect
+
+    conn = op.get_bind()
+    inspector = inspect(conn)
+
+    # Get existing columns
+    user_columns = [col["name"] for col in inspector.get_columns("user")]
+
+    # Add pages_limit column if it doesn't exist
+    if "pages_limit" not in user_columns:
+        op.add_column(
+            "user",
+            sa.Column(
+                "pages_limit",
+                sa.Integer(),
+                nullable=False,
+                server_default="500",
+            ),
+        )
+
+    # Add pages_used column if it doesn't exist
+    if "pages_used" not in user_columns:
+        op.add_column(
+            "user",
+            sa.Column(
+                "pages_used",
+                sa.Integer(),
+                nullable=False,
+                server_default="0",
+            ),
+        )
+
+
+def downgrade() -> None:
+    """Remove page limit fields from user table."""
+
+    from sqlalchemy import inspect
+
+    conn = op.get_bind()
+    inspector = inspect(conn)
+
+    # Get existing columns
+    user_columns = [col["name"] for col in inspector.get_columns("user")]
+
+    # Drop columns if they exist
+    if "pages_used" in user_columns:
+        op.drop_column("user", "pages_used")
+
+    if "pages_limit" in user_columns:
+        op.drop_column("user", "pages_limit")
diff --git a/surfsense_backend/app/db.py b/surfsense_backend/app/db.py
index 241be3fc0..12454c652 100644
--- a/surfsense_backend/app/db.py
+++ b/surfsense_backend/app/db.py
@@ -81,7 +81,6 @@ class ChatType(str, Enum):
 class LiteLLMProvider(str, Enum):
     """
     Enum for LLM providers supported by LiteLLM.
-    LiteLLM 支持的 LLM 提供商枚举。
     """
 
     OPENAI = "OPENAI"
@@ -401,6 +400,10 @@ if config.AUTH_TYPE == "GOOGLE":
             cascade="all, delete-orphan",
         )
 
+        # Page usage tracking for ETL services
+        pages_limit = Column(Integer, nullable=False, default=500, server_default="500")
+        pages_used = Column(Integer, nullable=False, default=0, server_default="0")
+
 else:
 
     class User(SQLAlchemyBaseUserTableUUID, Base):
@@ -411,6 +414,10 @@ else:
             cascade="all, delete-orphan",
         )
 
+        # Page usage tracking for ETL services
+        pages_limit = Column(Integer, nullable=False, default=500, server_default="500")
+        pages_used = Column(Integer, nullable=False, default=0, server_default="0")
+
 
 engine = create_async_engine(DATABASE_URL)
 async_session_maker = async_sessionmaker(engine, expire_on_commit=False)
diff --git a/surfsense_backend/app/services/page_limit_service.py b/surfsense_backend/app/services/page_limit_service.py
new file mode 100644
index 000000000..bc3f87f18
--- /dev/null
+++ b/surfsense_backend/app/services/page_limit_service.py
@@ -0,0 +1,401 @@
+"""
+Service for managing user page limits for ETL services.
+"""
+
+import os
+from pathlib import Path
+
+from sqlalchemy import select
+from sqlalchemy.ext.asyncio import AsyncSession
+
+
+class PageLimitExceededError(Exception):
+    """
+    Exception raised when a user exceeds their page processing limit.
+    """
+
+    def __init__(
+        self,
+        message: str = "Page limit exceeded. Please contact admin to increase limits for your account.",
+        pages_used: int = 0,
+        pages_limit: int = 0,
+        pages_to_add: int = 0,
+    ):
+        self.pages_used = pages_used
+        self.pages_limit = pages_limit
+        self.pages_to_add = pages_to_add
+        super().__init__(message)
+
+
+class PageLimitService:
+    """Service for checking and updating user page limits."""
+
+    def __init__(self, session: AsyncSession):
+        self.session = session
+
+    async def check_page_limit(
+        self, user_id: str, estimated_pages: int = 1
+    ) -> tuple[bool, int, int]:
+        """
+        Check if user has enough pages remaining for processing.
+
+        Args:
+            user_id: The user's ID
+            estimated_pages: Estimated number of pages to be processed
+
+        Returns:
+            Tuple of (has_capacity, pages_used, pages_limit)
+
+        Raises:
+            PageLimitExceededError: If user would exceed their page limit
+        """
+        from app.db import User
+
+        # Get user's current page usage
+        result = await self.session.execute(
+            select(User.pages_used, User.pages_limit).where(User.id == user_id)
+        )
+        row = result.first()
+
+        if not row:
+            raise ValueError(f"User with ID {user_id} not found")
+
+        pages_used, pages_limit = row
+
+        # Check if adding estimated pages would exceed limit
+        if pages_used + estimated_pages > pages_limit:
+            raise PageLimitExceededError(
+                message=f"Processing this document would exceed your page limit. "
+                f"Used: {pages_used}/{pages_limit} pages. "
+                f"Document has approximately {estimated_pages} page(s). "
+                f"Please contact admin to increase limits for your account.",
+                pages_used=pages_used,
+                pages_limit=pages_limit,
+                pages_to_add=estimated_pages,
+            )
+
+        return True, pages_used, pages_limit
+
+    async def update_page_usage(
+        self, user_id: str, pages_to_add: int, allow_exceed: bool = False
+    ) -> int:
+        """
+        Update user's page usage after successful processing.
+
+        Args:
+            user_id: The user's ID
+            pages_to_add: Number of pages to add to usage
+            allow_exceed: If True, allows update even if it exceeds limit
+                         (used when document was already processed after passing initial check)
+
+        Returns:
+            New total pages_used value
+
+        Raises:
+            PageLimitExceededError: If adding pages would exceed limit and allow_exceed is False
+        """
+        from app.db import User
+
+        # Get user
+        result = await self.session.execute(select(User).where(User.id == user_id))
+        user = result.scalar_one_or_none()
+
+        if not user:
+            raise ValueError(f"User with ID {user_id} not found")
+
+        # Check if this would exceed limit (only if allow_exceed is False)
+        new_usage = user.pages_used + pages_to_add
+        if not allow_exceed and new_usage > user.pages_limit:
+            raise PageLimitExceededError(
+                message=f"Cannot update page usage. Would exceed limit. "
+                f"Current: {user.pages_used}/{user.pages_limit}, "
+                f"Trying to add: {pages_to_add}",
+                pages_used=user.pages_used,
+                pages_limit=user.pages_limit,
+                pages_to_add=pages_to_add,
+            )
+
+        # Update usage
+        user.pages_used = new_usage
+        await self.session.commit()
+        await self.session.refresh(user)
+
+        return user.pages_used
+
+    async def get_page_usage(self, user_id: str) -> tuple[int, int]:
+        """
+        Get user's current page usage and limit.
+
+        Args:
+            user_id: The user's ID
+
+        Returns:
+            Tuple of (pages_used, pages_limit)
+        """
+        from app.db import User
+
+        result = await self.session.execute(
+            select(User.pages_used, User.pages_limit).where(User.id == user_id)
+        )
+        row = result.first()
+
+        if not row:
+            raise ValueError(f"User with ID {user_id} not found")
+
+        return row
+
+    def estimate_pages_from_elements(self, elements: list) -> int:
+        """
+        Estimate page count from document elements (for Unstructured).
+
+        Args:
+            elements: List of document elements
+
+        Returns:
+            Estimated number of pages
+        """
+        # For Unstructured, we can count unique page numbers in metadata
+        # or estimate based on content length
+        page_numbers = set()
+
+        for element in elements:
+            # Try to get page number from metadata
+            if hasattr(element, "metadata") and element.metadata:
+                page_num = element.metadata.get("page_number")
+                if page_num is not None:
+                    page_numbers.add(page_num)
+
+        # If we found page numbers in metadata, use that count
+        if page_numbers:
+            return len(page_numbers)
+
+        # Otherwise, estimate: assume ~2000 chars per page
+        total_content_length = sum(
+            len(element.page_content) if hasattr(element, "page_content") else 0
+            for element in elements
+        )
+        estimated_pages = max(1, total_content_length // 2000)
+
+        return estimated_pages
+
+    def estimate_pages_from_markdown(self, markdown_documents: list) -> int:
+        """
+        Estimate page count from markdown documents (for LlamaCloud).
+
+        Args:
+            markdown_documents: List of markdown document objects
+
+        Returns:
+            Estimated number of pages
+        """
+        # For LlamaCloud, if split_by_page=True was used, each doc is a page
+        # Otherwise, estimate based on content length
+        if not markdown_documents:
+            return 1
+
+        # Check if documents have page metadata
+        total_pages = 0
+        for doc in markdown_documents:
+            if hasattr(doc, "metadata") and doc.metadata:
+                # If metadata contains page info, use it
+                page_num = doc.metadata.get("page", doc.metadata.get("page_number"))
+                if page_num is not None:
+                    total_pages += 1
+                    continue
+
+            # Otherwise estimate from content length
+            content_length = len(doc.text) if hasattr(doc, "text") else 0
+            estimated = max(1, content_length // 2000)
+            total_pages += estimated
+
+        return max(1, total_pages)
+
+    def estimate_pages_from_content_length(self, content_length: int) -> int:
+        """
+        Estimate page count from content length (for Docling).
+
+        Args:
+            content_length: Length of the document content
+
+        Returns:
+            Estimated number of pages
+        """
+        # Estimate ~2000 characters per page
+        return max(1, content_length // 2000)
+
+    def estimate_pages_before_processing(self, file_path: str) -> int:
+        """
+        Estimate page count from file before processing (to avoid unnecessary API calls).
+        This is called BEFORE sending to ETL services to prevent cost on rejected files.
+
+        Args:
+            file_path: Path to the file
+
+        Returns:
+            Estimated number of pages
+        """
+        if not os.path.exists(file_path):
+            raise ValueError(f"File not found: {file_path}")
+
+        file_ext = Path(file_path).suffix.lower()
+        file_size = os.path.getsize(file_path)
+
+        # PDF files - try to get actual page count
+        if file_ext == ".pdf":
+            try:
+                import pypdf
+
+                with open(file_path, "rb") as f:
+                    pdf_reader = pypdf.PdfReader(f)
+                    return len(pdf_reader.pages)
+            except Exception:
+                # If PDF reading fails, fall back to size estimation
+                # Typical PDF: ~100KB per page (conservative estimate)
+                return max(1, file_size // (100 * 1024))
+
+        # Word Processing Documents
+        # Microsoft Word, LibreOffice Writer, WordPerfect, Pages, etc.
+        elif file_ext in [
+            ".doc",
+            ".docx",
+            ".docm",
+            ".dot",
+            ".dotm",  # Microsoft Word
+            ".odt",
+            ".ott",
+            ".sxw",
+            ".stw",
+            ".uot",  # OpenDocument/StarOffice Writer
+            ".rtf",  # Rich Text Format
+            ".pages",  # Apple Pages
+            ".wpd",
+            ".wps",  # WordPerfect, Microsoft Works
+            ".abw",
+            ".zabw",  # AbiWord
+            ".cwk",
+            ".hwp",
+            ".lwp",
+            ".mcw",
+            ".mw",
+            ".sdw",
+            ".vor",  # Other word processors
+        ]:
+            # Typical word document: ~50KB per page (conservative)
+            return max(1, file_size // (50 * 1024))
+
+        # Presentation Documents
+        # PowerPoint, Impress, Keynote, etc.
+        elif file_ext in [
+            ".ppt",
+            ".pptx",
+            ".pptm",
+            ".pot",
+            ".potx",  # Microsoft PowerPoint
+            ".odp",
+            ".otp",
+            ".sxi",
+            ".sti",
+            ".uop",  # OpenDocument/StarOffice Impress
+            ".key",  # Apple Keynote
+            ".sda",
+            ".sdd",
+            ".sdp",  # StarOffice Draw/Impress
+        ]:
+            # Typical presentation: ~200KB per slide (conservative)
+            return max(1, file_size // (200 * 1024))
+
+        # Spreadsheet Documents
+        # Excel, Calc, Numbers, Lotus, etc.
+        elif file_ext in [
+            ".xls",
+            ".xlsx",
+            ".xlsm",
+            ".xlsb",
+            ".xlw",
+            ".xlr",  # Microsoft Excel
+            ".ods",
+            ".ots",
+            ".fods",  # OpenDocument Spreadsheet
+            ".numbers",  # Apple Numbers
+            ".123",
+            ".wk1",
+            ".wk2",
+            ".wk3",
+            ".wk4",
+            ".wks",  # Lotus 1-2-3
+            ".wb1",
+            ".wb2",
+            ".wb3",
+            ".wq1",
+            ".wq2",  # Quattro Pro
+            ".csv",
+            ".tsv",
+            ".slk",
+            ".sylk",
+            ".dif",
+            ".dbf",
+            ".prn",
+            ".qpw",  # Data formats
+            ".602",
+            ".et",
+            ".eth",  # Other spreadsheets
+        ]:
+            # Spreadsheets typically have 1 sheet = 1 page for ETL
+            # Conservative: ~100KB per sheet
+            return max(1, file_size // (100 * 1024))
+
+        # E-books
+        elif file_ext in [".epub"]:
+            # E-books vary widely, estimate by size
+            # Typical e-book: ~50KB per page
+            return max(1, file_size // (50 * 1024))
+
+        # Plain Text and Markup Files
+        elif file_ext in [
+            ".txt",
+            ".log",  # Plain text
+            ".md",
+            ".markdown",  # Markdown
+            ".htm",
+            ".html",
+            ".xml",  # Markup
+        ]:
+            # Plain text: ~3000 bytes per page
+            return max(1, file_size // 3000)
+
+        # Image Files
+        # Each image is typically processed as 1 page
+        elif file_ext in [
+            ".jpg",
+            ".jpeg",  # JPEG
+            ".png",  # PNG
+            ".gif",  # GIF
+            ".bmp",  # Bitmap
+            ".tiff",  # TIFF
+            ".webp",  # WebP
+            ".svg",  # SVG
+            ".cgm",  # Computer Graphics Metafile
+            ".odg",
+            ".pbd",  # OpenDocument Graphics
+        ]:
+            # Each image = 1 page
+            return 1
+
+        # Audio Files (transcription = typically 1 page per minute)
+        # Note: These should be handled by audio transcription flow, not ETL
+        elif file_ext in [".mp3", ".m4a", ".wav", ".mpga"]:
+            # Audio files: estimate based on duration
+            # Fallback: ~1MB per minute of audio, 1 page per minute transcript
+            return max(1, file_size // (1024 * 1024))
+
+        # Video Files (typically not processed for pages, but just in case)
+        elif file_ext in [".mp4", ".mpeg", ".webm"]:
+            # Video files: very rough estimate
+            # Typically wouldn't be page-based, but use conservative estimate
+            return max(1, file_size // (5 * 1024 * 1024))
+
+        # Other/Unknown Document Types
+        else:
+            # Conservative estimate: ~80KB per page
+            # This catches: .sgl, .sxg, .uof, .uos1, .uos2, .web, and any future formats
+            return max(1, file_size // (80 * 1024))
diff --git a/surfsense_backend/app/tasks/celery_tasks/document_tasks.py b/surfsense_backend/app/tasks/celery_tasks/document_tasks.py
index 8ccdde4f1..73af21550 100644
--- a/surfsense_backend/app/tasks/celery_tasks/document_tasks.py
+++ b/surfsense_backend/app/tasks/celery_tasks/document_tasks.py
@@ -308,11 +308,24 @@ async def _process_file_upload(
                 log_entry,
             )
         except Exception as e:
+            # Import here to avoid circular dependencies
+            from fastapi import HTTPException
+
+            from app.services.page_limit_service import PageLimitExceededError
+
+            # For page limit errors, use the detailed message from the exception
+            if isinstance(e, PageLimitExceededError):
+                error_message = str(e)
+            elif isinstance(e, HTTPException) and "page limit" in str(e.detail).lower():
+                error_message = str(e.detail)
+            else:
+                error_message = f"Failed to process file: {filename}"
+
             await task_logger.log_task_failure(
                 log_entry,
-                f"Failed to process file: {filename}",
+                error_message,
                 str(e),
                 {"error_type": type(e).__name__},
             )
-            logger.error(f"Error processing file: {e!s}")
+            logger.error(error_message)
             raise
diff --git a/surfsense_backend/app/tasks/document_processors/file_processors.py b/surfsense_backend/app/tasks/document_processors/file_processors.py
index 2ae6b4bba..1858a5b93 100644
--- a/surfsense_backend/app/tasks/document_processors/file_processors.py
+++ b/surfsense_backend/app/tasks/document_processors/file_processors.py
@@ -2,6 +2,7 @@
 File document processors for different ETL services (Unstructured, LlamaCloud, Docling).
 """
 
+import contextlib
 import logging
 
 from fastapi import HTTPException
@@ -579,6 +580,67 @@ async def process_file_in_background(
                 )
 
         else:
+            # Import page limit service
+            from app.services.page_limit_service import (
+                PageLimitExceededError,
+                PageLimitService,
+            )
+
+            # Initialize page limit service
+            page_limit_service = PageLimitService(session)
+
+            # CRITICAL: Estimate page count BEFORE making expensive ETL API calls
+            # This prevents users from incurring costs on files that would exceed their limit
+            try:
+                estimated_pages_before = (
+                    page_limit_service.estimate_pages_before_processing(file_path)
+                )
+            except Exception:
+                # If estimation fails, use a conservative estimate based on file size
+                import os
+
+                file_size = os.path.getsize(file_path)
+                estimated_pages_before = max(
+                    1, file_size // (80 * 1024)
+                )  # ~80KB per page
+
+            await task_logger.log_task_progress(
+                log_entry,
+                f"Estimated {estimated_pages_before} pages for file: {filename}",
+                {
+                    "estimated_pages": estimated_pages_before,
+                    "file_type": "document",
+                },
+            )
+
+            # Check page limit BEFORE calling ETL service to avoid unnecessary costs
+            try:
+                await page_limit_service.check_page_limit(
+                    user_id, estimated_pages_before
+                )
+            except PageLimitExceededError as e:
+                await task_logger.log_task_failure(
+                    log_entry,
+                    f"Page limit exceeded before processing: {filename}",
+                    str(e),
+                    {
+                        "error_type": "PageLimitExceeded",
+                        "pages_used": e.pages_used,
+                        "pages_limit": e.pages_limit,
+                        "estimated_pages": estimated_pages_before,
+                    },
+                )
+                # Clean up the temp file
+                import os
+
+                with contextlib.suppress(Exception):
+                    os.unlink(file_path)
+
+                raise HTTPException(
+                    status_code=403,
+                    detail=str(e),
+                ) from e
+
             if app_config.ETL_SERVICE == "UNSTRUCTURED":
                 await task_logger.log_task_progress(
                     log_entry,
@@ -611,6 +673,24 @@ async def process_file_in_background(
                     {"processing_stage": "etl_complete", "elements_count": len(docs)},
                 )
 
+                # Verify actual page count from parsed documents
+                actual_pages = page_limit_service.estimate_pages_from_elements(docs)
+
+                # Use the higher of the two estimates for safety (in case pre-estimate was too low)
+                final_page_count = max(estimated_pages_before, actual_pages)
+
+                # If actual is significantly higher than estimate, log a warning
+                if actual_pages > estimated_pages_before * 1.5:
+                    await task_logger.log_task_progress(
+                        log_entry,
+                        f"Actual page count higher than estimate: {filename}",
+                        {
+                            "estimated_before": estimated_pages_before,
+                            "actual_pages": actual_pages,
+                            "using_count": final_page_count,
+                        },
+                    )
+
                 # Clean up the temp file
                 import os
 
@@ -626,6 +706,12 @@ async def process_file_in_background(
                 )
 
                 if result:
+                    # Update page usage after successful processing
+                    # allow_exceed=True because document was already created after passing initial check
+                    await page_limit_service.update_page_usage(
+                        user_id, final_page_count, allow_exceed=True
+                    )
+
                     await task_logger.log_task_success(
                         log_entry,
                         f"Successfully processed file with Unstructured: {filename}",
@@ -634,6 +720,7 @@ async def process_file_in_background(
                             "content_hash": result.content_hash,
                             "file_type": "document",
                             "etl_service": "UNSTRUCTURED",
+                            "pages_processed": final_page_count,
                         },
                     )
                 else:
@@ -696,6 +783,45 @@ async def process_file_in_background(
                     },
                 )
 
+                # Check if LlamaCloud returned any documents
+                if not markdown_documents or len(markdown_documents) == 0:
+                    await task_logger.log_task_failure(
+                        log_entry,
+                        f"LlamaCloud parsing returned no documents: {filename}",
+                        "ETL service returned empty document list",
+                        {
+                            "error_type": "EmptyDocumentList",
+                            "etl_service": "LLAMACLOUD",
+                        },
+                    )
+                    raise ValueError(
+                        f"LlamaCloud parsing returned no documents for {filename}"
+                    )
+
+                # Verify actual page count from parsed markdown documents
+                actual_pages = page_limit_service.estimate_pages_from_markdown(
+                    markdown_documents
+                )
+
+                # Use the higher of the two estimates for safety (in case pre-estimate was too low)
+                final_page_count = max(estimated_pages_before, actual_pages)
+
+                # If actual is significantly higher than estimate, log a warning
+                if actual_pages > estimated_pages_before * 1.5:
+                    await task_logger.log_task_progress(
+                        log_entry,
+                        f"Actual page count higher than estimate: {filename}",
+                        {
+                            "estimated_before": estimated_pages_before,
+                            "actual_pages": actual_pages,
+                            "using_count": final_page_count,
+                        },
+                    )
+
+                # Track if any document was successfully created (not a duplicate)
+                any_doc_created = False
+                last_created_doc = None
+
                 for doc in markdown_documents:
                     # Extract text content from the markdown documents
                     markdown_content = doc.text
@@ -709,18 +835,34 @@ async def process_file_in_background(
                         user_id=user_id,
                     )
 
-                if doc_result:
+                    # Track if this document was successfully created
+                    if doc_result:
+                        any_doc_created = True
+                        last_created_doc = doc_result
+
+                # Update page usage once after processing all documents
+                # Only update if at least one document was created (not all duplicates)
+                if any_doc_created:
+                    # Update page usage after successful processing
+                    # allow_exceed=True because document was already created after passing initial check
+                    await page_limit_service.update_page_usage(
+                        user_id, final_page_count, allow_exceed=True
+                    )
+
                     await task_logger.log_task_success(
                         log_entry,
                         f"Successfully processed file with LlamaCloud: {filename}",
                         {
-                            "document_id": doc_result.id,
-                            "content_hash": doc_result.content_hash,
+                            "document_id": last_created_doc.id,
+                            "content_hash": last_created_doc.content_hash,
                             "file_type": "document",
                             "etl_service": "LLAMACLOUD",
+                            "pages_processed": final_page_count,
+                            "documents_count": len(markdown_documents),
                         },
                     )
                 else:
+                    # All documents were duplicates (markdown_documents was not empty, but all returned None)
                     await task_logger.log_task_success(
                         log_entry,
                         f"Document already exists (duplicate): {filename}",
@@ -728,6 +870,7 @@ async def process_file_in_background(
                             "duplicate_detected": True,
                             "file_type": "document",
                             "etl_service": "LLAMACLOUD",
+                            "documents_count": len(markdown_documents),
                         },
                     )
 
@@ -769,6 +912,26 @@ async def process_file_in_background(
                     },
                 )
 
+                # Verify actual page count from content length
+                actual_pages = page_limit_service.estimate_pages_from_content_length(
+                    len(result["content"])
+                )
+
+                # Use the higher of the two estimates for safety (in case pre-estimate was too low)
+                final_page_count = max(estimated_pages_before, actual_pages)
+
+                # If actual is significantly higher than estimate, log a warning
+                if actual_pages > estimated_pages_before * 1.5:
+                    await task_logger.log_task_progress(
+                        log_entry,
+                        f"Actual page count higher than estimate: {filename}",
+                        {
+                            "estimated_before": estimated_pages_before,
+                            "actual_pages": actual_pages,
+                            "using_count": final_page_count,
+                        },
+                    )
+
                 # Process the document using our Docling background task
                 doc_result = await add_received_file_document_using_docling(
                     session,
@@ -779,6 +942,12 @@ async def process_file_in_background(
                 )
 
                 if doc_result:
+                    # Update page usage after successful processing
+                    # allow_exceed=True because document was already created after passing initial check
+                    await page_limit_service.update_page_usage(
+                        user_id, final_page_count, allow_exceed=True
+                    )
+
                     await task_logger.log_task_success(
                         log_entry,
                         f"Successfully processed file with Docling: {filename}",
@@ -787,6 +956,7 @@ async def process_file_in_background(
                             "content_hash": doc_result.content_hash,
                             "file_type": "document",
                             "etl_service": "DOCLING",
+                            "pages_processed": final_page_count,
                         },
                     )
                 else:
@@ -801,13 +971,24 @@ async def process_file_in_background(
                     )
     except Exception as e:
         await session.rollback()
+
+        # For page limit errors, use the detailed message from the exception
+        from app.services.page_limit_service import PageLimitExceededError
+
+        if isinstance(e, PageLimitExceededError):
+            error_message = str(e)
+        elif isinstance(e, HTTPException) and "page limit" in str(e.detail).lower():
+            error_message = str(e.detail)
+        else:
+            error_message = f"Failed to process file: {filename}"
+
         await task_logger.log_task_failure(
             log_entry,
-            f"Failed to process file: {filename}",
+            error_message,
             str(e),
             {"error_type": type(e).__name__, "filename": filename},
         )
         import logging
 
-        logging.error(f"Error processing file in background: {e!s}")
+        logging.error(f"Error processing file in background: {error_message}")
         raise  # Re-raise so the wrapper can also handle it
diff --git a/surfsense_backend/pyproject.toml b/surfsense_backend/pyproject.toml
index 05ccf61f0..58511a101 100644
--- a/surfsense_backend/pyproject.toml
+++ b/surfsense_backend/pyproject.toml
@@ -26,6 +26,7 @@ dependencies = [
     "numpy>=1.24.0",
     "pgvector>=0.3.6",
     "playwright>=1.50.0",
+    "pypdf>=5.1.0",
     "python-ffmpeg>=2.0.12",
     "rerankers[flashrank]>=0.7.1",
     "sentence-transformers>=3.4.1",
diff --git a/surfsense_backend/uv.lock b/surfsense_backend/uv.lock
index 3931d03c7..d367c10c7 100644
--- a/surfsense_backend/uv.lock
+++ b/surfsense_backend/uv.lock
@@ -4423,8 +4423,10 @@ wheels = [
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     { url = "https://files.pythonhosted.org/packages/b1/d2/99b55e85832ccde77b211738ff3925a5d73ad183c0b37bcbbe5a8ff04978/psycopg2_binary-2.9.11-cp312-cp312-win_amd64.whl", hash = "sha256:b33fabeb1fde21180479b2d4667e994de7bbf0eec22832ba5d9b5e4cf65b6c6d", size = 2714147 },
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+    { url = "https://files.pythonhosted.org/packages/f2/7d/c07374c501b45f3579a9eb761cbf2604ddef3d96ad48679112c2c5aa9c25/psycopg2_binary-2.9.11-cp313-cp313-manylinux_2_38_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:84011ba3109e06ac412f95399b704d3d6950e386b7994475b231cf61eec2fc1f", size = 3983133 },
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@@ -5885,6 +5891,7 @@ dependencies = [
     { name = "numpy" },
     { name = "pgvector" },
     { name = "playwright" },
+    { name = "pypdf" },
     { name = "python-ffmpeg" },
     { name = "redis" },
     { name = "rerankers", extra = ["flashrank"] },
@@ -5937,6 +5944,7 @@ requires-dist = [
     { name = "numpy", specifier = ">=1.24.0" },
     { name = "pgvector", specifier = ">=0.3.6" },
     { name = "playwright", specifier = ">=1.50.0" },
+    { name = "pypdf", specifier = ">=5.1.0" },
     { name = "python-ffmpeg", specifier = ">=2.0.12" },
     { name = "redis", specifier = ">=5.2.1" },
     { name = "rerankers", extras = ["flashrank"], specifier = ">=0.7.1" },