diff --git a/docling_core/transforms/serializer/doctags.py b/docling_core/transforms/serializer/doctags.py
index 76f5502f..bc8e3f34 100644
--- a/docling_core/transforms/serializer/doctags.py
+++ b/docling_core/transforms/serializer/doctags.py
@@ -25,7 +25,7 @@
     DocSerializer,
     create_ser_result,
 )
-from docling_core.types.doc.base import BoundingBox
+from docling_core.types.doc.base import BoundingBox, BoundingRectangle
 from docling_core.types.doc.document import (
     CodeItem,
     DocItem,
@@ -318,7 +318,7 @@ def serialize(
                 if len(doc.pages.keys()):
                     page_w, page_h = doc.pages[page_no].size.as_tuple()
                     cell_txt += DocumentToken.get_location(
-                        bbox=cell.prov.bbox.to_top_left_origin(page_h).as_tuple(),
+                        bbox=cell.prov.bbox,
                         page_w=page_w,
                         page_h=page_h,
                         xsize=params.xsize,
@@ -422,7 +422,7 @@ def _get_inline_location_tags(
     ) -> SerializationResult:
 
         prov: Optional[ProvenanceItem] = None
-        boxes: list[BoundingBox] = []
+        boxes: list[Union[BoundingBox, BoundingRectangle]] = []
         doc_items: list[DocItem] = []
         for it, _ in doc.iterate_items(root=item):
             if isinstance(it, DocItem):
diff --git a/docling_core/types/doc/__init__.py b/docling_core/types/doc/__init__.py
index 0756ac1e..4ba730ca 100644
--- a/docling_core/types/doc/__init__.py
+++ b/docling_core/types/doc/__init__.py
@@ -5,7 +5,7 @@
 
 """Package for models defined by the Document type."""
 
-from .base import BoundingBox, CoordOrigin, ImageRefMode, Size
+from .base import BoundingBox, BoundingRectangle, CoordOrigin, ImageRefMode, Size
 from .document import (
     BaseAnnotation,
     ChartBar,
@@ -71,7 +71,6 @@
     TableCellLabel,
 )
 from .page import (
-    BoundingRectangle,
     ColorMixin,
     ColorRGBA,
     Coord2D,
diff --git a/docling_core/types/doc/base.py b/docling_core/types/doc/base.py
index 718aa16f..2731ad99 100644
--- a/docling_core/types/doc/base.py
+++ b/docling_core/types/doc/base.py
@@ -1,9 +1,12 @@
 """Models for the base data types."""
 
+import math
 from enum import Enum
-from typing import List, Tuple
+from typing import List, NamedTuple, Tuple, Union
 
+import numpy as np
 from pydantic import BaseModel
+from shapely.geometry import Polygon
 
 
 class ImageRefMode(str, Enum):
@@ -370,7 +373,9 @@ def is_horizontally_connected(
         return False
 
     @classmethod
-    def enclosing_bbox(cls, boxes: List["BoundingBox"]) -> "BoundingBox":
+    def enclosing_bbox(
+        cls, boxes: List[Union["BoundingBox", "BoundingRectangle"]]
+    ) -> "BoundingBox":
         """Create a bounding box that covers all of the given boxes."""
         if not boxes:
             raise ValueError("No bounding boxes provided for union.")
@@ -382,15 +387,21 @@ def enclosing_bbox(cls, boxes: List["BoundingBox"]) -> "BoundingBox":
                 CoordOrigin to compute their union."
             )
 
-        left = min(box.l for box in boxes)
-        right = max(box.r for box in boxes)
+        # transform every BRectangle in the encloser BBox
+        boxes_post = [
+            box.to_bounding_box() if isinstance(box, BoundingRectangle) else box
+            for box in boxes
+        ]
+
+        left = min(box.l for box in boxes_post)
+        right = max(box.r for box in boxes_post)
 
         if origin == CoordOrigin.TOPLEFT:
-            top = min(box.t for box in boxes)
-            bottom = max(box.b for box in boxes)
+            top = min(box.t for box in boxes_post)
+            bottom = max(box.b for box in boxes_post)
         elif origin == CoordOrigin.BOTTOMLEFT:
-            top = max(box.t for box in boxes)
-            bottom = min(box.b for box in boxes)
+            top = max(box.t for box in boxes_post)
+            bottom = min(box.b for box in boxes_post)
         else:
             raise ValueError("BoundingBoxes have different CoordOrigin")
 
@@ -433,3 +444,287 @@ def y_union_with(self, other: "BoundingBox") -> float:
         elif self.coord_origin == CoordOrigin.BOTTOMLEFT:
             return max(0.0, max(self.t, other.t) - min(self.b, other.b))
         raise ValueError("Unsupported CoordOrigin")
+
+
+class Coord2D(NamedTuple):
+    """A 2D coordinate with x and y components."""
+
+    x: float
+    y: float
+
+
+class BoundingRectangle(BaseModel):
+    """Model representing a rectangular boundary with four corner points."""
+
+    r_x0: float
+    r_y0: float
+
+    r_x1: float
+    r_y1: float
+
+    r_x2: float
+    r_y2: float
+
+    r_x3: float
+    r_y3: float
+
+    coord_origin: CoordOrigin = CoordOrigin.BOTTOMLEFT
+
+    @property
+    def width(self) -> float:
+        """Calculate the width of the rectangle."""
+        return np.sqrt((self.r_x1 - self.r_x0) ** 2 + (self.r_y1 - self.r_y0) ** 2)
+
+    @property
+    def height(self) -> float:
+        """Calculate the height of the rectangle."""
+        return np.sqrt((self.r_x3 - self.r_x0) ** 2 + (self.r_y3 - self.r_y0) ** 2)
+
+    @property
+    def angle(self) -> float:
+        """Calculate the angle of the rectangle in radians (0-2pi range)."""
+        p_0 = ((self.r_x0 + self.r_x3) / 2.0, (self.r_y0 + self.r_y3) / 2.0)
+        p_1 = ((self.r_x1 + self.r_x2) / 2.0, (self.r_y1 + self.r_y2) / 2.0)
+
+        delta_x, delta_y = p_1[0] - p_0[0], p_1[1] - p_0[1]
+
+        if abs(delta_y) < 1.0e-3:
+            angle = 0.0
+        elif abs(delta_x) < 1.0e-3:
+            angle = np.pi / 2.0 if delta_y > 0 else -np.pi / 2.0
+        else:
+            angle = math.atan(delta_y / delta_x)
+        if delta_x < 0:
+            angle += np.pi
+        if angle < 0:
+            angle += 2 * np.pi
+        return angle
+
+    @property
+    def angle_360(self) -> int:
+        """Calculate the angle of the rectangle in degrees (0-360 range)."""
+        return round(self.angle / np.pi * 180)
+
+    @property
+    def centre(self):
+        """Calculate the center point of the rectangle."""
+        return (self.r_x0 + self.r_x1 + self.r_x2 + self.r_x3) / 4.0, (
+            self.r_y0 + self.r_y1 + self.r_y2 + self.r_y3
+        ) / 4.0
+
+    @property
+    def l(self):  # noqa: E743
+        """Left value of the inclosing rectangle."""
+        return min([self.r_x0, self.r_x1, self.r_x2, self.r_x3])
+
+    @property
+    def r(self):
+        """Right value of the inclosing rectangle."""
+        return max([self.r_x0, self.r_x1, self.r_x2, self.r_x3])
+
+    @property
+    def t(self):
+        """Top value of the inclosing rectangle."""
+        if self.coord_origin == CoordOrigin.BOTTOMLEFT:
+            top = max([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
+        else:
+            top = min([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
+        return top
+
+    @property
+    def b(self):
+        """Bottom value of the inclosing rectangle."""
+        if self.coord_origin == CoordOrigin.BOTTOMLEFT:
+            bottom = min([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
+        else:
+            bottom = max([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
+        return bottom
+
+    def resize_by_scale(self, x_scale: float, y_scale: float):
+        """resize_by_scale."""
+        rect_to_bbox = self.to_bounding_box()
+        return BoundingBox(
+            l=rect_to_bbox.l * x_scale,
+            r=rect_to_bbox.r * x_scale,
+            t=rect_to_bbox.t * y_scale,
+            b=rect_to_bbox.b * y_scale,
+            coord_origin=self.coord_origin,
+        )
+
+    def scale_to_size(self, old_size: Size, new_size: Size):
+        """scale_to_size."""
+        return self.resize_by_scale(
+            x_scale=new_size.width / old_size.width,
+            y_scale=new_size.height / old_size.height,
+        )
+
+    def scaled(self, scale: float):
+        """scaled."""
+        return self.resize_by_scale(x_scale=scale, y_scale=scale)
+
+    def normalized(self, page_size: Size):
+        """normalized."""
+        return self.scale_to_size(
+            old_size=page_size, new_size=Size(height=1.0, width=1.0)
+        )
+
+    def expand_by_scale(self, x_scale: float, y_scale: float) -> "BoundingBox":
+        """expand_to_size."""
+        rect_to_bbox = self.to_bounding_box()
+        if self.coord_origin == CoordOrigin.TOPLEFT:
+            return BoundingBox(
+                l=rect_to_bbox.l - rect_to_bbox.width * x_scale,
+                r=rect_to_bbox.r + rect_to_bbox.width * x_scale,
+                t=rect_to_bbox.t - rect_to_bbox.height * y_scale,
+                b=rect_to_bbox.b + rect_to_bbox.height * y_scale,
+                coord_origin=self.coord_origin,
+            )
+        elif self.coord_origin == CoordOrigin.BOTTOMLEFT:
+            return BoundingBox(
+                l=rect_to_bbox.l - rect_to_bbox.width * x_scale,
+                r=rect_to_bbox.r + rect_to_bbox.width * x_scale,
+                t=rect_to_bbox.t + rect_to_bbox.height * y_scale,
+                b=rect_to_bbox.b - rect_to_bbox.height * y_scale,
+                coord_origin=self.coord_origin,
+            )
+
+    def to_bounding_box(self) -> BoundingBox:
+        """Convert to a BoundingBox representation."""
+        if self.coord_origin == CoordOrigin.BOTTOMLEFT:
+            top = max([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
+            bottom = min([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
+        else:
+            top = min([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
+            bottom = max([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
+
+        left = min([self.r_x0, self.r_x1, self.r_x2, self.r_x3])
+        right = max([self.r_x0, self.r_x1, self.r_x2, self.r_x3])
+
+        return BoundingBox(
+            l=left,
+            b=bottom,
+            r=right,
+            t=top,
+            coord_origin=self.coord_origin,
+        )
+
+    @classmethod
+    def from_bounding_box(
+        cls, bbox: Union["BoundingRectangle", BoundingBox]
+    ) -> "BoundingRectangle":
+        """Convert a BoundingBox into a BoundingRectangle."""
+        if isinstance(bbox, BoundingRectangle):
+            return bbox
+        return cls(
+            r_x0=bbox.l,
+            r_y0=bbox.b,
+            r_x2=bbox.r,
+            r_y2=bbox.t,
+            r_x1=bbox.r,
+            r_y1=bbox.b,
+            r_x3=bbox.l,
+            r_y3=bbox.t,
+            coord_origin=bbox.coord_origin,
+        )
+
+    def to_polygon(self) -> List[Coord2D]:
+        """Convert to a list of point coordinates forming a polygon."""
+        return [
+            Coord2D(self.r_x0, self.r_y0),
+            Coord2D(self.r_x1, self.r_y1),
+            Coord2D(self.r_x2, self.r_y2),
+            Coord2D(self.r_x3, self.r_y3),
+        ]
+
+    def to_list(self) -> List[Tuple]:
+        """Convert to a list of tuple point coordinates."""
+        return [
+            (self.r_x0, self.r_y0),
+            (self.r_x1, self.r_y1),
+            (self.r_x2, self.r_y2),
+            (self.r_x3, self.r_y3),
+        ]
+
+    def as_tuple(self) -> Tuple[float, float, float, float, float, float, float, float]:
+        """as_tuple."""
+        return (
+            self.r_x0,
+            self.r_y0,
+            self.r_x1,
+            self.r_y1,
+            self.r_x2,
+            self.r_y2,
+            self.r_x3,
+            self.r_y3,
+        )
+
+    def to_shapely_polygon(self) -> Polygon:
+        """To shapely polygon."""
+        return Polygon(
+            [
+                (self.r_x0, self.r_y0),
+                (self.r_x1, self.r_y1),
+                (self.r_x2, self.r_y2),
+                (self.r_x3, self.r_y3),
+            ]
+        )
+
+    def to_bottom_left_origin(self, page_height: float) -> "BoundingRectangle":
+        """Convert coordinates to use bottom-left origin.
+
+        Args:
+            page_height: The height of the page
+
+        Returns:
+            BoundingRectangle with bottom-left origin
+        """
+        if self.coord_origin == CoordOrigin.BOTTOMLEFT:
+            return self
+        elif self.coord_origin == CoordOrigin.TOPLEFT:
+            return BoundingRectangle(
+                r_x0=self.r_x0,
+                r_x1=self.r_x1,
+                r_x2=self.r_x2,
+                r_x3=self.r_x3,
+                r_y0=page_height - self.r_y0,
+                r_y1=page_height - self.r_y1,
+                r_y2=page_height - self.r_y2,
+                r_y3=page_height - self.r_y3,
+                coord_origin=CoordOrigin.BOTTOMLEFT,
+            )
+
+    def to_top_left_origin(self, page_height: float) -> "BoundingRectangle":
+        """Convert coordinates to use top-left origin.
+
+        Args:
+            page_height: The height of the page
+
+        Returns:
+            BoundingRectangle with top-left origin
+        """
+        if self.coord_origin == CoordOrigin.TOPLEFT:
+            return self
+        elif self.coord_origin == CoordOrigin.BOTTOMLEFT:
+            return BoundingRectangle(
+                r_x0=self.r_x0,
+                r_x1=self.r_x1,
+                r_x2=self.r_x2,
+                r_x3=self.r_x3,
+                r_y0=page_height - self.r_y0,
+                r_y1=page_height - self.r_y1,
+                r_y2=page_height - self.r_y2,
+                r_y3=page_height - self.r_y3,
+                coord_origin=CoordOrigin.TOPLEFT,
+            )
+
+    def intersection_over_union(
+        self, other: "BoundingRectangle", eps: float = 1.0e-6
+    ) -> float:
+        """Intersection_over_union."""
+        polygon_other = other.to_shapely_polygon()
+        current_polygon = self.to_shapely_polygon()
+
+        intersection_area = current_polygon.intersection(polygon_other).area
+        union_area = current_polygon.union(polygon_other).area
+
+        return intersection_area / (union_area + eps)
diff --git a/docling_core/types/doc/document.py b/docling_core/types/doc/document.py
index 6e2117b6..a012a4b9 100644
--- a/docling_core/types/doc/document.py
+++ b/docling_core/types/doc/document.py
@@ -37,7 +37,7 @@
 
 from docling_core.search.package import VERSION_PATTERN
 from docling_core.types.base import _JSON_POINTER_REGEX
-from docling_core.types.doc import BoundingBox, Size
+from docling_core.types.doc import BoundingBox, BoundingRectangle, Size
 from docling_core.types.doc.base import CoordOrigin, ImageRefMode
 from docling_core.types.doc.labels import (
     CodeLanguageLabel,
@@ -388,7 +388,9 @@ def get_row_bounding_boxes(self) -> dict[int, BoundingBox]:
         row_bboxes: dict[int, BoundingBox] = {}
 
         for row_idx in range(self.num_rows):
-            row_cells_with_bbox: dict[int, list[BoundingBox]] = {}
+            row_cells_with_bbox: dict[
+                int, list[Union["BoundingBox", "BoundingRectangle"]]
+            ] = {}
 
             # Collect all cells in this row that have bounding boxes
             for cell in self.table_cells:
@@ -442,7 +444,9 @@ def get_column_bounding_boxes(self) -> dict[int, BoundingBox]:
         col_bboxes: dict[int, BoundingBox] = {}
 
         for col_idx in range(self.num_cols):
-            col_cells_with_bbox: dict[int, list[BoundingBox]] = {}
+            col_cells_with_bbox: dict[
+                int, list[Union["BoundingBox", "BoundingRectangle"]]
+            ] = {}
 
             # Collect all cells in this row that have bounding boxes
             for cell in self.table_cells:
@@ -724,7 +728,7 @@ class ProvenanceItem(BaseModel):
     """ProvenanceItem."""
 
     page_no: int
-    bbox: BoundingBox
+    bbox: Union[BoundingBox, BoundingRectangle]
     charspan: Tuple[int, int]
 
 
@@ -913,7 +917,7 @@ def get_location_tokens(
             page_w, page_h = doc.pages[prov.page_no].size.as_tuple()
 
             loc_str = DocumentToken.get_location(
-                bbox=prov.bbox.to_top_left_origin(page_h).as_tuple(),
+                bbox=prov.bbox,
                 page_w=page_w,
                 page_h=page_h,
                 xsize=xsize,
diff --git a/docling_core/types/doc/page.py b/docling_core/types/doc/page.py
index b584beaf..8da48b45 100644
--- a/docling_core/types/doc/page.py
+++ b/docling_core/types/doc/page.py
@@ -3,31 +3,23 @@
 import copy
 import json
 import logging
-import math
 import re
 import typing
 from enum import Enum
 from pathlib import Path
-from typing import (
-    Annotated,
-    Any,
-    Dict,
-    Iterator,
-    List,
-    Literal,
-    NamedTuple,
-    Optional,
-    Tuple,
-    Union,
-)
+from typing import Annotated, Any, Dict, Iterator, List, Literal, Optional, Tuple, Union
 
-import numpy as np
 from PIL import Image as PILImage
 from PIL import ImageColor, ImageDraw, ImageFont
 from PIL.ImageFont import FreeTypeFont
 from pydantic import AnyUrl, BaseModel, Field, model_validator
 
-from docling_core.types.doc.base import BoundingBox, CoordOrigin
+from docling_core.types.doc.base import (
+    BoundingBox,
+    BoundingRectangle,
+    Coord2D,
+    CoordOrigin,
+)
 from docling_core.types.doc.document import ImageRef
 
 _logger = logging.getLogger(__name__)
@@ -81,165 +73,6 @@ def __iter__(self):
         yield from (self.r, self.g, self.b, self.a)
 
 
-class Coord2D(NamedTuple):
-    """A 2D coordinate with x and y components."""
-
-    x: float
-    y: float
-
-
-class BoundingRectangle(BaseModel):
-    """Model representing a rectangular boundary with four corner points."""
-
-    r_x0: float
-    r_y0: float
-
-    r_x1: float
-    r_y1: float
-
-    r_x2: float
-    r_y2: float
-
-    r_x3: float
-    r_y3: float
-
-    coord_origin: CoordOrigin = CoordOrigin.BOTTOMLEFT
-
-    @property
-    def width(self) -> float:
-        """Calculate the width of the rectangle."""
-        return np.sqrt((self.r_x1 - self.r_x0) ** 2 + (self.r_y1 - self.r_y0) ** 2)
-
-    @property
-    def height(self) -> float:
-        """Calculate the height of the rectangle."""
-        return np.sqrt((self.r_x3 - self.r_x0) ** 2 + (self.r_y3 - self.r_y0) ** 2)
-
-    @property
-    def angle(self) -> float:
-        """Calculate the angle of the rectangle in radians (0-2pi range)."""
-        p_0 = ((self.r_x0 + self.r_x3) / 2.0, (self.r_y0 + self.r_y3) / 2.0)
-        p_1 = ((self.r_x1 + self.r_x2) / 2.0, (self.r_y1 + self.r_y2) / 2.0)
-
-        delta_x, delta_y = p_1[0] - p_0[0], p_1[1] - p_0[1]
-
-        if abs(delta_y) < 1.0e-3:
-            angle = 0.0
-        elif abs(delta_x) < 1.0e-3:
-            angle = np.pi / 2.0 if delta_y > 0 else -np.pi / 2.0
-        else:
-            angle = math.atan(delta_y / delta_x)
-        if delta_x < 0:
-            angle += np.pi
-        if angle < 0:
-            angle += 2 * np.pi
-        return angle
-
-    @property
-    def angle_360(self) -> int:
-        """Calculate the angle of the rectangle in degrees (0-360 range)."""
-        return round(self.angle / np.pi * 180)
-
-    @property
-    def centre(self):
-        """Calculate the center point of the rectangle."""
-        return (self.r_x0 + self.r_x1 + self.r_x2 + self.r_x3) / 4.0, (
-            self.r_y0 + self.r_y1 + self.r_y2 + self.r_y3
-        ) / 4.0
-
-    def to_bounding_box(self) -> BoundingBox:
-        """Convert to a BoundingBox representation."""
-        if self.coord_origin == CoordOrigin.BOTTOMLEFT:
-            top = max([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
-            bottom = min([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
-        else:
-            top = min([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
-            bottom = max([self.r_y0, self.r_y1, self.r_y2, self.r_y3])
-
-        left = min([self.r_x0, self.r_x1, self.r_x2, self.r_x3])
-        right = max([self.r_x0, self.r_x1, self.r_x2, self.r_x3])
-
-        return BoundingBox(
-            l=left,
-            b=bottom,
-            r=right,
-            t=top,
-            coord_origin=self.coord_origin,
-        )
-
-    @classmethod
-    def from_bounding_box(cls, bbox: BoundingBox) -> "BoundingRectangle":
-        """Convert a BoundingBox into a BoundingRectangle."""
-        return cls(
-            r_x0=bbox.l,
-            r_y0=bbox.b,
-            r_x2=bbox.r,
-            r_y2=bbox.t,
-            r_x1=bbox.r,
-            r_y1=bbox.b,
-            r_x3=bbox.l,
-            r_y3=bbox.t,
-            coord_origin=bbox.coord_origin,
-        )
-
-    def to_polygon(self) -> List[Coord2D]:
-        """Convert to a list of point coordinates forming a polygon."""
-        return [
-            Coord2D(self.r_x0, self.r_y0),
-            Coord2D(self.r_x1, self.r_y1),
-            Coord2D(self.r_x2, self.r_y2),
-            Coord2D(self.r_x3, self.r_y3),
-        ]
-
-    def to_bottom_left_origin(self, page_height: float) -> "BoundingRectangle":
-        """Convert coordinates to use bottom-left origin.
-
-        Args:
-            page_height: The height of the page
-
-        Returns:
-            BoundingRectangle with bottom-left origin
-        """
-        if self.coord_origin == CoordOrigin.BOTTOMLEFT:
-            return self
-        elif self.coord_origin == CoordOrigin.TOPLEFT:
-            return BoundingRectangle(
-                r_x0=self.r_x0,
-                r_x1=self.r_x1,
-                r_x2=self.r_x2,
-                r_x3=self.r_x3,
-                r_y0=page_height - self.r_y0,
-                r_y1=page_height - self.r_y1,
-                r_y2=page_height - self.r_y2,
-                r_y3=page_height - self.r_y3,
-                coord_origin=CoordOrigin.BOTTOMLEFT,
-            )
-
-    def to_top_left_origin(self, page_height: float) -> "BoundingRectangle":
-        """Convert coordinates to use top-left origin.
-
-        Args:
-            page_height: The height of the page
-
-        Returns:
-            BoundingRectangle with top-left origin
-        """
-        if self.coord_origin == CoordOrigin.TOPLEFT:
-            return self
-        elif self.coord_origin == CoordOrigin.BOTTOMLEFT:
-            return BoundingRectangle(
-                r_x0=self.r_x0,
-                r_x1=self.r_x1,
-                r_x2=self.r_x2,
-                r_x3=self.r_x3,
-                r_y0=page_height - self.r_y0,
-                r_y1=page_height - self.r_y1,
-                r_y2=page_height - self.r_y2,
-                r_y3=page_height - self.r_y3,
-                coord_origin=CoordOrigin.TOPLEFT,
-            )
-
-
 class OrderedElement(BaseModel):
     """Base model for elements that have an ordering index."""
 
diff --git a/docling_core/types/doc/tokens.py b/docling_core/types/doc/tokens.py
index 5ad8026b..95137b61 100644
--- a/docling_core/types/doc/tokens.py
+++ b/docling_core/types/doc/tokens.py
@@ -6,8 +6,9 @@
 """Tokens used in the docling document model."""
 
 from enum import Enum
-from typing import Tuple
+from typing import Tuple, Union
 
+from docling_core.types.doc.base import BoundingBox, BoundingRectangle
 from docling_core.types.doc.labels import DocItemLabel
 
 
@@ -42,6 +43,7 @@ def is_known_token(label):
 
 
 _LOC_PREFIX = "loc_"
+_REC_PREFIX = "rec_"
 _SECTION_HEADER_PREFIX = "section_header_level_"
 
 
@@ -261,35 +263,71 @@ def get_code_language_token(code_language: str) -> str:
         return _CodeLanguageToken(f"<_{code_language}_>").value
 
     @staticmethod
-    def get_location_token(val: float, rnorm: int = 500):  # TODO review
+    def get_location_token(
+        val: float, rnorm: int = 500, prefix=_LOC_PREFIX
+    ):  # TODO review
         """Function to get location tokens."""
         val_ = round(rnorm * val)
         val_ = max(val_, 0)
         val_ = min(val_, rnorm - 1)
-        return f"<{_LOC_PREFIX}{val_}>"
+        return f"<{prefix}{val_}>"
 
     @staticmethod
     def get_location(
-        bbox: tuple[float, float, float, float],
+        bbox: Union[tuple[float, float, float, float], BoundingBox, BoundingRectangle],
         page_w: float,
         page_h: float,
         xsize: int = 500,  # TODO review
         ysize: int = 500,  # TODO review
     ):
-        """Get the location string give bbox and page-dim."""
-        assert bbox[0] <= bbox[2], f"bbox[0]<=bbox[2] => {bbox[0]}<={bbox[2]}"
-        assert bbox[1] <= bbox[3], f"bbox[1]<=bbox[3] => {bbox[1]}<={bbox[3]}"
-
-        x0 = bbox[0] / page_w
-        y0 = bbox[1] / page_h
-        x1 = bbox[2] / page_w
-        y1 = bbox[3] / page_h
-
-        x0_tok = DocumentToken.get_location_token(val=min(x0, x1), rnorm=xsize)
-        y0_tok = DocumentToken.get_location_token(val=min(y0, y1), rnorm=ysize)
-        x1_tok = DocumentToken.get_location_token(val=max(x0, x1), rnorm=xsize)
-        y1_tok = DocumentToken.get_location_token(val=max(y0, y1), rnorm=ysize)
-
-        loc_str = f"{x0_tok}{y0_tok}{x1_tok}{y1_tok}"
+        """Get the location string given bbox and page-dim."""
+        if isinstance(bbox, BoundingBox):
+            # the transform this case into the old case
+            bbox = bbox.to_top_left_origin(page_h).as_tuple()
+
+        if isinstance(bbox, tuple):
+            # old case
+            assert bbox[0] <= bbox[2], f"bbox[0]<=bbox[2] => {bbox[0]}<={bbox[2]}"
+            assert bbox[1] <= bbox[3], f"bbox[1]<=bbox[3] => {bbox[1]}<={bbox[3]}"
+
+            x0 = bbox[0] / page_w
+            y0 = bbox[1] / page_h
+            x1 = bbox[2] / page_w
+            y1 = bbox[3] / page_h
+
+            x0_tok = DocumentToken.get_location_token(val=min(x0, x1), rnorm=xsize)
+            y0_tok = DocumentToken.get_location_token(val=min(y0, y1), rnorm=ysize)
+            x1_tok = DocumentToken.get_location_token(val=max(x0, x1), rnorm=xsize)
+            y1_tok = DocumentToken.get_location_token(val=max(y0, y1), rnorm=ysize)
+
+            loc_str = f"{x0_tok}{y0_tok}{x1_tok}{y1_tok}"
+
+        elif isinstance(bbox, BoundingRectangle):
+            # use the prefix rec, 4 elements required
+            vertices = bbox.to_top_left_origin(page_h).to_polygon()
+            # Convection for the rectangle vertices:
+            #     3 +-------+ 2
+            #       | hello |
+            #     0 +-------+ 1
+            # 0->1 line must be the baseline for the words
+
+            vertices_tok = []
+            for vertex in vertices:
+                vertex_x_norm = vertex.x / page_w
+                vertices_tok.append(
+                    DocumentToken.get_location_token(
+                        val=vertex_x_norm, rnorm=xsize, prefix=_REC_PREFIX
+                    )
+                )
+                vertex_y_norm = vertex.y / page_h
+                vertices_tok.append(
+                    DocumentToken.get_location_token(
+                        val=vertex_y_norm, rnorm=ysize, prefix=_REC_PREFIX
+                    )
+                )
+
+            loc_str = ""
+            for vertex_tok in vertices_tok:
+                loc_str += f"{vertex_tok}"
 
         return loc_str
diff --git a/docling_core/types/legacy_doc/base.py b/docling_core/types/legacy_doc/base.py
index 1c50b891..235e64e0 100644
--- a/docling_core/types/legacy_doc/base.py
+++ b/docling_core/types/legacy_doc/base.py
@@ -25,6 +25,7 @@
 ]
 
 BoundingBox = Annotated[list[float], Field(min_length=4, max_length=4)]
+BoundingRectangle = Annotated[list[float], Field(min_length=8, max_length=8)]
 
 Span = Annotated[list[int], Field(min_length=2, max_length=2)]
 
@@ -69,7 +70,7 @@ class S3Reference(AliasModel):
 class Prov(AliasModel):
     """Provenance."""
 
-    bbox: BoundingBox
+    bbox: Union["BoundingBox", "BoundingRectangle"]
     page: PositiveInt
     span: Span
     ref_s3_data: Optional[StrictStr] = Field(
diff --git a/docs/DoclingDocument.json b/docs/DoclingDocument.json
index 045a7e94..7d0a9b85 100644
--- a/docs/DoclingDocument.json
+++ b/docs/DoclingDocument.json
@@ -33,6 +33,59 @@
       "title": "BoundingBox",
       "type": "object"
     },
+    "BoundingRectangle": {
+      "description": "Model representing a rectangular boundary with four corner points.",
+      "properties": {
+        "r_x0": {
+          "title": "R X0",
+          "type": "number"
+        },
+        "r_y0": {
+          "title": "R Y0",
+          "type": "number"
+        },
+        "r_x1": {
+          "title": "R X1",
+          "type": "number"
+        },
+        "r_y1": {
+          "title": "R Y1",
+          "type": "number"
+        },
+        "r_x2": {
+          "title": "R X2",
+          "type": "number"
+        },
+        "r_y2": {
+          "title": "R Y2",
+          "type": "number"
+        },
+        "r_x3": {
+          "title": "R X3",
+          "type": "number"
+        },
+        "r_y3": {
+          "title": "R Y3",
+          "type": "number"
+        },
+        "coord_origin": {
+          "$ref": "#/$defs/CoordOrigin",
+          "default": "BOTTOMLEFT"
+        }
+      },
+      "required": [
+        "r_x0",
+        "r_y0",
+        "r_x1",
+        "r_y1",
+        "r_x2",
+        "r_y2",
+        "r_x3",
+        "r_y3"
+      ],
+      "title": "BoundingRectangle",
+      "type": "object"
+    },
     "ChartBar": {
       "description": "Represents a bar in a bar chart.\n\nAttributes:\n    label (str): The label for the bar.\n    values (float): The value associated with the bar.",
       "properties": {
@@ -1679,7 +1732,15 @@
           "type": "integer"
         },
         "bbox": {
-          "$ref": "#/$defs/BoundingBox"
+          "anyOf": [
+            {
+              "$ref": "#/$defs/BoundingBox"
+            },
+            {
+              "$ref": "#/$defs/BoundingRectangle"
+            }
+          ],
+          "title": "Bbox"
         },
         "charspan": {
           "maxItems": 2,
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 00000000..a96fd7c8
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,1893 @@
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
+[[package]]
+name = "attrs"
+version = "25.3.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
+    {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
+]
+
+[package.extras]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
+
+[[package]]
+name = "certifi"
+version = "2025.6.15"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"chunking\" or extra == \"chunking-openai\""
+files = [
+    {file = "certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057"},
+    {file = "certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b"},
+]
+
+[[package]]
+name = "charset-normalizer"
+version = "3.4.2"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+optional = true
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "extra == \"chunking\" or extra == \"chunking-openai\""
+files = [
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+flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+ftfy = ["ftfy"]
+hf-xet = ["hf-xet"]
+hub-kernels = ["kernels (>=0.4.4,<0.5)"]
+integrations = ["kernels (>=0.4.4,<0.5)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
+ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
+modelcreation = ["cookiecutter (==1.7.3)"]
+natten = ["natten (>=0.14.6,<0.15.0)"]
+num2words = ["num2words"]
+onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
+onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
+optuna = ["optuna"]
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+ray = ["ray[tune] (>=2.7.0)"]
+retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
+ruff = ["ruff (==0.11.2)"]
+sagemaker = ["sagemaker (>=2.31.0)"]
+sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
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+sklearn = ["scikit-learn"]
+speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
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+tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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+tokenizers = ["tokenizers (>=0.21,<0.22)"]
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+torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
+torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
+torchhub = ["filelock", "huggingface-hub (>=0.30.0,<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 (>=2.1,<2.7)", "tqdm (>=4.27)"]
+video = ["av"]
+vision = ["Pillow (>=10.0.1,<=15.0)"]
+
+[[package]]
+name = "typer"
+version = "0.16.0"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "typer-0.16.0-py3-none-any.whl", hash = "sha256:1f79bed11d4d02d4310e3c1b7ba594183bcedb0ac73b27a9e5f28f6fb5b98855"},
+    {file = "typer-0.16.0.tar.gz", hash = "sha256:af377ffaee1dbe37ae9440cb4e8f11686ea5ce4e9bae01b84ae7c63b87f1dd3b"},
+]
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+[package.dependencies]
+click = ">=8.0.0"
+rich = ">=10.11.0"
+shellingham = ">=1.3.0"
+typing-extensions = ">=3.7.4.3"
+
+[[package]]
+name = "types-shapely"
+version = "2.1.0.20250512"
+description = "Typing stubs for shapely"
+optional = false
+python-versions = ">=3.9"
+groups = ["dev"]
+files = [
+    {file = "types_shapely-2.1.0.20250512-py3-none-any.whl", hash = "sha256:e57b6d30758d717a218e682bc4e32c5a46e3c948008c79f0a653216ca93b65fb"},
+    {file = "types_shapely-2.1.0.20250512.tar.gz", hash = "sha256:15f08bdb7fa937dca0039510c6d8fda72e8464bfd43bd9ac59127a61a38ce7c8"},
+]
+
+[package.dependencies]
+numpy = ">=1.20"
+
+[[package]]
+name = "typing-extensions"
+version = "4.14.0"
+description = "Backported and Experimental Type Hints for Python 3.9+"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af"},
+    {file = "typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4"},
+]
+
+[[package]]
+name = "typing-inspection"
+version = "0.4.1"
+description = "Runtime typing introspection tools"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"},
+    {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.12.0"
+
+[[package]]
+name = "tzdata"
+version = "2025.2"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+groups = ["main"]
+files = [
+    {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
+    {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
+]
+
+[[package]]
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+version = "2.5.0"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"chunking\" or extra == \"chunking-openai\""
+files = [
+    {file = "urllib3-2.5.0-py3-none-any.whl", hash = "sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc"},
+    {file = "urllib3-2.5.0.tar.gz", hash = "sha256:3fc47733c7e419d4bc3f6b3dc2b4f890bb743906a30d56ba4a5bfa4bbff92760"},
+]
+
+[package.extras]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
+h2 = ["h2 (>=4,<5)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[extras]
+chunking = ["semchunk", "transformers"]
+chunking-openai = ["semchunk", "tiktoken"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = ">=3.9,<4.0"
+content-hash = "956194593c6cfbad9634939561a61edf8c51d25f6cadda8fd658a74124cd0ab6"
diff --git a/pyproject.toml b/pyproject.toml
index 533e0786..26225e1b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,6 +45,7 @@ dependencies = [
     'typing-extensions (>=4.12.2,<5.0.0)',
     'typer (>=0.12.5,<0.17.0)',
     'latex2mathml (>=3.77.0,<4.0.0)',
+    "shapely>=2.0.7",
 ]
 
 [project.urls]
@@ -155,3 +156,7 @@ branch = "main"
 parser_angular_allowed_types = "build,chore,ci,docs,feat,fix,perf,style,refactor,test"
 parser_angular_minor_types = "feat"
 parser_angular_patch_types = "fix,perf"
+
+[tool.poetry.group.dev.dependencies]
+types-shapely = "^2.1.0.20250512"
+
diff --git a/test/data/doc/rect_doc_test.gt.txt b/test/data/doc/rect_doc_test.gt.txt
new file mode 100644
index 00000000..35ecc039
--- /dev/null
+++ b/test/data/doc/rect_doc_test.gt.txt
@@ -0,0 +1,9 @@
+<doctag><caption><rec_281><rec_81><rec_454><rec_168><rec_457><rec_164><rec_284><rec_77>Figure 2: New car sales by year as modelled by the TCM LS model run</caption>
+<picture><rec_180><rec_185><rec_378><rec_289><rec_464><rec_183><rec_261><rec_80></picture>
+<section_header_level_2><rec_175><rec_192><rec_186><rec_197><rec_189><rec_194><rec_177><rec_188>Notes:</section_header_level_2>
+<unordered_list><list_item><rec_154><rec_218><rec_348><rec_321><rec_364><rec_301><rec_170><rec_198> ICV = internal combustion vehicle, HEV = hybrid electric vehicle, PHEV = plug-in hybrid electric  vehicle, EV = electric vehicle, FCV = fuel cell vehicle, E85 = 85% bio-ethanol plus 15% petrol  blend, Biodiesel (2nd gen) ICV = pure (100%) second generation biodiesel.</list_item>
+<list_item><rec_147><rec_228><rec_313><rec_317><rec_316><rec_314><rec_149><rec_225> The peak and subsequent drop in new car sales in 2005-07 is based on observed data.</list_item>
+</unordered_list>
+<text><rec_68><rec_329><rec_259><rec_436><rec_329><rec_349><rec_134><rec_244>Two further lifestyle changes were simulated for cars. First, car buyers - whether  private, fleet or business - are assumed to choose smaller cars instead of larger ones.  This is simulated in UKTCM by phasing out the sale of new large cars (engine size  >2.0 litres) by 2020 - starting in 2010, with linear interpolation between 2010 and  2020. Secondly, the tendency towards less overall car use and the increased  membership of car clubs for use of a variety of types of cars for longer distance  journeys is modelled endogenously in UKTCM by assuming significantly lower levels  of maximum car ownership per household in urban and non-urban areas - about half  of the reference value (TCM REF) for households owning ‘at least 2 cars’ and ‘at least</text>
+<page_footer><rec_149><rec_393><rec_155><rec_396><rec_158><rec_393><rec_152><rec_390>25</page_footer>
+</doctag>
\ No newline at end of file
diff --git a/test/data/doc/rect_doc_test.json b/test/data/doc/rect_doc_test.json
new file mode 100644
index 00000000..6f061fb9
--- /dev/null
+++ b/test/data/doc/rect_doc_test.json
@@ -0,0 +1,315 @@
+{
+  "schema_name": "DoclingDocument",
+  "version": "1.3.0",
+  "name": "00e80479997ace55a2e7cc4cb291411b81b2b4111e5be295b8e827436e917530",
+  "furniture": {
+    "self_ref": "#/furniture",
+    "children": [],
+    "content_layer": "furniture",
+    "name": "_root_",
+    "label": "unspecified"
+  },
+  "body": {
+    "self_ref": "#/body",
+    "children": [
+      {
+        "$ref": "#/texts/0"
+      },
+      {
+        "$ref": "#/pictures/0"
+      },
+      {
+        "$ref": "#/texts/1"
+      },
+      {
+        "$ref": "#/groups/0"
+      },
+      {
+        "$ref": "#/texts/4"
+      },
+      {
+        "$ref": "#/texts/5"
+      }
+    ],
+    "content_layer": "body",
+    "name": "_root_",
+    "label": "unspecified"
+  },
+  "groups": [
+    {
+      "self_ref": "#/groups/0",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [
+        {
+          "$ref": "#/texts/2"
+        },
+        {
+          "$ref": "#/texts/3"
+        }
+      ],
+      "content_layer": "body",
+      "name": "list",
+      "label": "list"
+    }
+  ],
+  "texts": [
+    {
+      "self_ref": "#/texts/0",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "caption",
+      "prov": [
+        {
+          "page_no": 1,
+          "bbox": {
+            "r_x0": 509.66453018188474,
+            "r_y0": 195.2655132293701,
+            "r_x1": 823.4733366966248,
+            "r_y1": 405.85461616516113,
+            "r_x2": 828.5433065414428,
+            "r_y2": 397.4555854797363,
+            "r_x3": 514.4958744049072,
+            "r_y3": 186.9875347137451,
+            "coord_origin": "TOPLEFT"
+          },
+          "charspan": [
+            0,
+            0
+          ]
+        }
+      ],
+      "orig": "Figure 2: New car sales by year as modelled by the TCM LS model run",
+      "text": "Figure 2: New car sales by year as modelled by the TCM LS model run"
+    },
+    {
+      "self_ref": "#/texts/1",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "section_header",
+      "prov": [
+        {
+          "page_no": 1,
+          "bbox": {
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+            "r_y0": 463.0926097869873,
+            "r_x1": 337.6816155910492,
+            "r_y1": 477.51476097106934,
+            "r_x2": 342.38450860977173,
+            "r_y2": 469.4521385192871,
+            "r_x3": 321.8373177051544,
+            "r_y3": 455.03806228637694,
+            "coord_origin": "TOPLEFT"
+          },
+          "charspan": [
+            0,
+            0
+          ]
+        }
+      ],
+      "orig": "Notes:",
+      "text": "Notes:",
+      "level": 2
+    },
+    {
+      "self_ref": "#/texts/2",
+      "parent": {
+        "$ref": "#/groups/0"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "list_item",
+      "prov": [
+        {
+          "page_no": 1,
+          "bbox": {
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+            "r_y0": 527.31781539917,
+            "r_x1": 630.5829946517944,
+            "r_y1": 776.2454526901245,
+            "r_x2": 660.1747346878052,
+            "r_y2": 727.3397632598877,
+            "r_x3": 307.7846315860748,
+            "r_y3": 479.18461761474606,
+            "coord_origin": "TOPLEFT"
+          },
+          "charspan": [
+            0,
+            0
+          ]
+        }
+      ],
+      "orig": "\uf0b7 ICV = internal combustion vehicle, HEV = hybrid electric vehicle, PHEV = plug-in hybrid electric  vehicle, EV = electric vehicle, FCV = fuel cell vehicle, E85 = 85% bio-ethanol plus 15% petrol  blend, Biodiesel (2nd gen) ICV = pure (100%) second generation biodiesel.",
+      "text": "\uf0b7 ICV = internal combustion vehicle, HEV = hybrid electric vehicle, PHEV = plug-in hybrid electric  vehicle, EV = electric vehicle, FCV = fuel cell vehicle, E85 = 85% bio-ethanol plus 15% petrol  blend, Biodiesel (2nd gen) ICV = pure (100%) second generation biodiesel.",
+      "enumerated": false,
+      "marker": "-"
+    },
+    {
+      "self_ref": "#/texts/3",
+      "parent": {
+        "$ref": "#/groups/0"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "list_item",
+      "prov": [
+        {
+          "page_no": 1,
+          "bbox": {
+            "r_x0": 265.81266660690306,
+            "r_y0": 551.3047462463379,
+            "r_x1": 567.6941934585572,
+            "r_y1": 766.3243297576904,
+            "r_x2": 572.5692830085754,
+            "r_y2": 758.2244688034058,
+            "r_x3": 270.4625407218933,
+            "r_y3": 543.3150146484375,
+            "coord_origin": "TOPLEFT"
+          },
+          "charspan": [
+            0,
+            0
+          ]
+        }
+      ],
+      "orig": "\uf0b7 The peak and subsequent drop in new car sales in 2005-07 is based on observed data.",
+      "text": "\uf0b7 The peak and subsequent drop in new car sales in 2005-07 is based on observed data.",
+      "enumerated": false,
+      "marker": "-"
+    },
+    {
+      "self_ref": "#/texts/4",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "text",
+      "prov": [
+        {
+          "page_no": 1,
+          "bbox": {
+            "r_x0": 123.34899322986602,
+            "r_y0": 796.0989818572998,
+            "r_x1": 470.6539724349975,
+            "r_y1": 1053.1127815246582,
+            "r_x2": 596.6871794700622,
+            "r_y2": 844.9434242248535,
+            "r_x3": 242.61499013900755,
+            "r_y3": 591.1650844573975,
+            "coord_origin": "TOPLEFT"
+          },
+          "charspan": [
+            0,
+            0
+          ]
+        }
+      ],
+      "orig": "Two further lifestyle changes were simulated for cars. First, car buyers - whether  private, fleet or business - are assumed to choose smaller cars instead of larger ones.  This is simulated in UKTCM by phasing out the sale of new large cars (engine size  >2.0 litres) by 2020 - starting in 2010, with linear interpolation between 2010 and  2020. Secondly, the tendency towards less overall car use and the increased  membership of car clubs for use of a variety of types of cars for longer distance  journeys is modelled endogenously in UKTCM by assuming significantly lower levels  of maximum car ownership per household in urban and non-urban areas - about half  of the reference value (TCM REF) for households owning \u2018at least 2 cars\u2019 and \u2018at least",
+      "text": "Two further lifestyle changes were simulated for cars. First, car buyers - whether  private, fleet or business - are assumed to choose smaller cars instead of larger ones.  This is simulated in UKTCM by phasing out the sale of new large cars (engine size  >2.0 litres) by 2020 - starting in 2010, with linear interpolation between 2010 and  2020. Secondly, the tendency towards less overall car use and the increased  membership of car clubs for use of a variety of types of cars for longer distance  journeys is modelled endogenously in UKTCM by assuming significantly lower levels  of maximum car ownership per household in urban and non-urban areas - about half  of the reference value (TCM REF) for households owning \u2018at least 2 cars\u2019 and \u2018at least"
+    },
+    {
+      "self_ref": "#/texts/5",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "page_footer",
+      "prov": [
+        {
+          "page_no": 1,
+          "bbox": {
+            "r_x0": 270.87814836502076,
+            "r_y0": 950.4819365501403,
+            "r_x1": 281.0608870983124,
+            "r_y1": 958.0538795471191,
+            "r_x2": 285.7220084667206,
+            "r_y2": 950.2045403480529,
+            "r_x3": 275.53167243003844,
+            "r_y3": 942.6361121177673,
+            "coord_origin": "TOPLEFT"
+          },
+          "charspan": [
+            0,
+            0
+          ]
+        }
+      ],
+      "orig": "25",
+      "text": "25"
+    }
+  ],
+  "pictures": [
+    {
+      "self_ref": "#/pictures/0",
+      "parent": {
+        "$ref": "#/body"
+      },
+      "children": [],
+      "content_layer": "body",
+      "label": "picture",
+      "prov": [
+        {
+          "page_no": 1,
+          "bbox": {
+            "r_x0": 326.52861199378964,
+            "r_y0": 446.9771701812744,
+            "r_x1": 685.4023781776428,
+            "r_y1": 698.4126926422119,
+            "r_x2": 841.0731253623962,
+            "r_y2": 441.2905300140381,
+            "r_x3": 473.6983551979065,
+            "r_y3": 194.0965919494629,
+            "coord_origin": "TOPLEFT"
+          },
+          "charspan": [
+            0,
+            0
+          ]
+        }
+      ],
+      "captions": [],
+      "references": [],
+      "footnotes": [],
+      "image": {
+        "mimetype": "image/png",
+        "dpi": 72,
+        "size": {
+          "width": 871.0,
+          "height": 570.0
+        },
+        "uri": "GroundTruthPictures/0"
+      },
+      "annotations": []
+    }
+  ],
+  "tables": [],
+  "key_value_items": [],
+  "form_items": [],
+  "pages": {
+    "1": {
+      "size": {
+        "width": 907.0,
+        "height": 1209.0
+      },
+      "image": {
+        "mimetype": "image/png",
+        "dpi": 72,
+        "size": {
+          "width": 907.0,
+          "height": 1209.0
+        },
+        "uri": "GroundTruthPageImages/1"
+      },
+      "page_no": 1
+    }
+  }
+}
\ No newline at end of file
diff --git a/test/test_rec_bbox.py b/test/test_rec_bbox.py
new file mode 100644
index 00000000..c47cd131
--- /dev/null
+++ b/test/test_rec_bbox.py
@@ -0,0 +1,255 @@
+import math
+from pathlib import Path
+
+from docling_core.types.doc.base import (
+    BoundingBox,
+    BoundingRectangle,
+    CoordOrigin,
+    Size,
+)
+from docling_core.types.doc.document import (  # BoundingBox,
+    CURRENT_VERSION,
+    CodeItem,
+    ContentLayer,
+    DocItem,
+    DoclingDocument,
+    DocumentOrigin,
+    FloatingItem,
+    Formatting,
+    FormItem,
+    FormulaItem,
+    GraphCell,
+    GraphData,
+    GraphLink,
+    ImageRef,
+    KeyValueItem,
+    ListItem,
+    NodeItem,
+    PictureItem,
+    ProvenanceItem,
+    RefItem,
+    Script,
+    SectionHeaderItem,
+    Size,
+    TableCell,
+    TableData,
+    TableItem,
+    TextItem,
+    TitleItem,
+)
+
+from .test_data_gen_flag import GEN_TEST_DATA
+
+
+class TestBoundingRectangle:
+    """Test suite for BoundingRectangle class."""
+
+    def test_init(self):
+        """Test BoundingRectangle initialization."""
+        rect = BoundingRectangle(
+            r_x0=0,
+            r_y0=0,
+            r_x1=10,
+            r_y1=0,
+            r_x2=10,
+            r_y2=10,
+            r_x3=0,
+            r_y3=10,
+            coord_origin=CoordOrigin.BOTTOMLEFT,
+        )
+
+        assert rect.r_x0 == 0
+        assert rect.r_y0 == 0
+        assert rect.coord_origin == CoordOrigin.BOTTOMLEFT
+
+    def test_width_property(self):
+        """Test width calculation for rectangle."""
+        # Simple rectangle (aligned with axes)
+        rect = BoundingRectangle(
+            r_x0=0, r_y0=0, r_x1=10, r_y1=0, r_x2=10, r_y2=10, r_x3=0, r_y3=10
+        )
+
+        expected_width = math.sqrt((10 - 0) ** 2 + (0 - 0) ** 2)
+        assert abs(rect.width - expected_width) < 1e-6
+
+    def test_height_property(self):
+        """Test height calculation for rectangle."""
+        # simple rectangle aligned with axis
+        rect = BoundingRectangle(
+            r_x0=0, r_y0=0, r_x1=10, r_y1=0, r_x2=10, r_y2=10, r_x3=0, r_y3=10
+        )
+
+        expected_height = math.sqrt((0 - 0) ** 2 + (10 - 0) ** 2)
+        assert abs(rect.height - expected_height) < 1e-6
+
+    def test_angle_property(self):
+        """Test angle calculation."""
+        # Horizontal rectangle (angle should be 0)
+        rect_horizontal = BoundingRectangle(
+            r_x0=0, r_y0=0, r_x1=10, r_y1=0, r_x2=10, r_y2=10, r_x3=0, r_y3=10
+        )
+        assert abs(rect_horizontal.angle - 0) < 1e-3
+
+        # 45-degree rotated 4 vertices polygon
+        # The angle is always referred to the orientation of the segment 0-1
+        rect_diagonal = BoundingRectangle(
+            r_x0=0, r_y0=0, r_x1=10, r_y1=10, r_x2=0, r_y2=20, r_x3=-10, r_y3=10
+        )
+        expected_angle = math.pi / 4  # 45 degrees in radians
+        assert abs(rect_diagonal.angle - expected_angle) < 1e-1
+
+    def test_angle_360_property(self):
+        """Test angle in degrees."""
+        rect = BoundingRectangle(
+            r_x0=0, r_y0=0, r_x1=10, r_y1=0, r_x2=10, r_y2=10, r_x3=0, r_y3=10
+        )
+        assert rect.angle_360 == 0
+
+    def test_centre_property(self):
+        """Test center calculation."""
+        rect = BoundingRectangle(
+            r_x0=0, r_y0=0, r_x1=10, r_y1=0, r_x2=10, r_y2=10, r_x3=0, r_y3=10
+        )
+
+        center_x, center_y = rect.centre
+        assert center_x == 5.0  # (0+10+10+0)/4
+        assert center_y == 5.0  # (0+0+10+10)/4
+
+    def test_bounding_properties_bottomleft(self):
+        """Test l, r, t, b properties (enclosing BBox) for bottom-left origin."""
+        rect = BoundingRectangle(
+            r_x0=2,
+            r_y0=3,
+            r_x1=8,
+            r_y1=1,
+            r_x2=10,
+            r_y2=7,
+            r_x3=4,
+            r_y3=9,
+            coord_origin=CoordOrigin.BOTTOMLEFT,
+        )
+
+        assert rect.l == 2
+        assert rect.r == 10
+        assert rect.t == 9
+        assert rect.b == 1
+
+    def test_bounding_properties_topleft(self):
+        """Test l, r, t, b properties (enclosing Bbox) for top-left origin."""
+        rect = BoundingRectangle(
+            r_x0=2,
+            r_y0=3,
+            r_x1=8,
+            r_y1=1,
+            r_x2=10,
+            r_y2=7,
+            r_x3=4,
+            r_y3=9,
+            coord_origin=CoordOrigin.TOPLEFT,
+        )
+
+        assert rect.l == 2
+        assert rect.r == 10
+        assert rect.t == 1
+        assert rect.b == 9
+
+    def test_to_bounding_box(self):
+        """Test conversion to BoundingBox."""
+        rect = BoundingRectangle(
+            r_x0=0,
+            r_y0=0,
+            r_x1=10,
+            r_y1=0,
+            r_x2=10,
+            r_y2=10,
+            r_x3=0,
+            r_y3=10,
+            coord_origin=CoordOrigin.BOTTOMLEFT,
+        )
+
+        bbox = rect.to_bounding_box()
+
+        assert bbox.l == 0
+        assert bbox.r == 10
+        assert bbox.t == 10
+        assert bbox.b == 0
+        assert bbox.coord_origin == CoordOrigin.BOTTOMLEFT
+
+    def test_from_bounding_box(self):
+        """Test creation from BoundingBox."""
+        bbox = BoundingBox(l=0, t=10, r=10, b=0, coord_origin=CoordOrigin.BOTTOMLEFT)
+        rect = BoundingRectangle.from_bounding_box(bbox)
+
+        assert rect.r_x0 == 0
+        assert rect.r_y0 == 0
+        assert rect.r_x1 == 10
+        assert rect.r_y1 == 0
+        assert rect.r_x2 == 10
+        assert rect.r_y2 == 10
+        assert rect.r_x3 == 0
+        assert rect.r_y3 == 10
+
+    def test_intersection_over_union(self):
+        """Test intersection over union with Shapely and BoundingRectangle"""
+        rect_1 = BoundingRectangle(
+            r_x0=0,
+            r_y0=0,
+            r_x1=1.5,
+            r_y1=0,
+            r_x2=1.5,
+            r_y2=10,
+            r_x3=0,
+            r_y3=10,
+            coord_origin=CoordOrigin.BOTTOMLEFT,
+        )
+
+        rect_2 = BoundingRectangle(
+            r_x0=0.5,
+            r_y0=0,
+            r_x1=2,
+            r_y1=0,
+            r_x2=2,
+            r_y2=10,
+            r_x3=0.5,
+            r_y3=10,
+            coord_origin=CoordOrigin.BOTTOMLEFT,
+        )
+
+        assert (rect_1.intersection_over_union(rect_2) - 0.5) < 1e-3
+
+
+class TestBRectangleDocument:
+
+    def verify(self, exp_file: Path, actual: str):
+        if GEN_TEST_DATA:
+            with open(exp_file, "w", encoding="utf-8") as f:
+                f.write(f"{actual}\n")
+        else:
+            with open(exp_file, "r", encoding="utf-8") as f:
+                expected = f.read().rstrip()
+
+            assert expected == actual
+
+    def test_doctags_creation(self):
+        src = Path("./test/data/doc/rect_doc_test.json")
+        doc = DoclingDocument.load_from_json(src)
+
+        actual = doc.export_to_doctags()
+
+        self.verify(exp_file=src.parent / f"{src.stem}.gt.txt", actual=actual)
+        import re
+
+        # Split the string into lines
+        lines = actual.splitlines()
+
+        for i, line in enumerate(lines, 1):
+            rec_tags = re.findall(r"<rec_\d+>", line)
+            if len(rec_tags) > 0:
+                assert len(rec_tags) == 8
+
+    def test_rec_inside(self):
+        src = Path("./test/data/doc/rect_doc_test.json")
+        doc = DoclingDocument.load_from_json(src)
+        rec1 = doc.texts[0].prov[0].bbox
+        assert isinstance(rec1, BoundingRectangle)
+        assert rec1.coord_origin == CoordOrigin.TOPLEFT
diff --git a/uv.lock b/uv.lock
index 5ff96bc9..dcbe0aca 100644
--- a/uv.lock
+++ b/uv.lock
@@ -516,6 +516,8 @@ dependencies = [
     { name = "pillow" },
     { name = "pydantic" },
     { name = "pyyaml" },
+    { name = "shapely", version = "2.0.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "shapely", version = "2.1.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
     { name = "tabulate" },
     { name = "typer" },
     { name = "typing-extensions" },
@@ -564,6 +566,7 @@ requires-dist = [
     { name = "pyyaml", specifier = ">=5.1,<7.0.0" },
     { name = "semchunk", marker = "extra == 'chunking'", specifier = ">=2.2.0,<3.0.0" },
     { name = "semchunk", marker = "extra == 'chunking-openai'" },
+    { name = "shapely", specifier = ">=2.0.7" },
     { name = "tabulate", specifier = ">=0.9.0,<0.10.0" },
     { name = "tiktoken", marker = "extra == 'chunking-openai'", specifier = ">=0.9.0,<0.10.0" },
     { name = "transformers", marker = "extra == 'chunking'", specifier = ">=4.34.0,<5.0.0" },
@@ -2484,6 +2487,106 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/0b/70/b84f9944a03964a88031ef6ac219b6c91e8ba2f373362329d8770ef36f02/semver-2.13.0-py2.py3-none-any.whl", hash = "sha256:ced8b23dceb22134307c1b8abfa523da14198793d9787ac838e70e29e77458d4", size = 12901, upload-time = "2020-10-20T20:16:52.583Z" },
 ]
 
+[[package]]
+name = "shapely"
+version = "2.0.7"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.10'",
+]
+dependencies = [
+    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/21/c0/a911d1fd765d07a2b6769ce155219a281bfbe311584ebe97340d75c5bdb1/shapely-2.0.7.tar.gz", hash = "sha256:28fe2997aab9a9dc026dc6a355d04e85841546b2a5d232ed953e3321ab958ee5", size = 283413, upload-time = "2025-01-31T01:10:20.787Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/15/2e/02c694d6ddacd4f13b625722d313d2838f23c5b988cbc680132983f73ce3/shapely-2.0.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:33fb10e50b16113714ae40adccf7670379e9ccf5b7a41d0002046ba2b8f0f691", size = 1478310, upload-time = "2025-01-31T02:42:18.134Z" },
+    { url = "https://files.pythonhosted.org/packages/87/69/b54a08bcd25e561bdd5183c008ace4424c25e80506e80674032504800efd/shapely-2.0.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f44eda8bd7a4bccb0f281264b34bf3518d8c4c9a8ffe69a1a05dabf6e8461147", size = 1336082, upload-time = "2025-01-31T02:42:19.986Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/f9/40473fcb5b66ff849e563ca523d2a26dafd6957d52dd876ffd0eded39f1c/shapely-2.0.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf6c50cd879831955ac47af9c907ce0310245f9d162e298703f82e1785e38c98", size = 2371047, upload-time = "2025-01-31T02:42:22.724Z" },
+    { url = "https://files.pythonhosted.org/packages/d6/f3/c9cc07a7a03b5f5e83bd059f9adf3e21cf086b0e41d7f95e6464b151e798/shapely-2.0.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:04a65d882456e13c8b417562c36324c0cd1e5915f3c18ad516bb32ee3f5fc895", size = 2469112, upload-time = "2025-01-31T02:42:26.739Z" },
+    { url = "https://files.pythonhosted.org/packages/5d/b9/fc63d6b0b25063a3ff806857a5dc88851d54d1c278288f18cef1b322b449/shapely-2.0.7-cp310-cp310-win32.whl", hash = "sha256:7e97104d28e60b69f9b6a957c4d3a2a893b27525bc1fc96b47b3ccef46726bf2", size = 1296057, upload-time = "2025-01-31T02:42:29.156Z" },
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