edit PR #221106

Author: laujan

articles/applied-ai-services/form-recognizer/concept-analyze-document-response.md

@@ -60,6 +60,8 @@ For more information on the objects returned by each API, see [model data extrac
 
 Spans specify the logical position of each element in the overall reading order, with each span specifying a character offset and length into the top-level content string property. By default, character offsets and lengths are returned in units of user-perceived characters (also known as [`grapheme clusters`](/dotnet/standard/base-types/character-encoding-introduction) or text elements).  To accommodate different development environments that use different character units, user can specify the `stringIndexIndex` query parameter to return span offsets and lengths in Unicode code points (Python 3) or UTF16 code units (Java, JavaScript, .NET) as well.  For more information, *see* [multilingual/emoji support](../../cognitive-services/language-service/concepts/multilingual-emoji-support.md).
 
+:::image type="content" source="media/span.png" alt-text="Screenshot of detected span example.":::
+
 ### Bounding Region
 
 Bounding regions describe the visual position of each element in the file. Since elements may not be visually contiguous (entities) or may cross pages (tables), the positions of most elements are described via an array of bounding regions. Each region specifies the page number (`1`-indexed) and bounding polygon.  The bounding polygon is described as a sequence of points, clockwise from the left relative to the natural orientation of the element.  For quadrilaterals, plot points are top-left, top-right, bottom-right, and bottom-left corners.  Each point is represented by its x, y coordinate in the page unit specified by the unit property.  In general, unit of measure for images is pixels while PDFs use inches.
@@ -81,7 +83,7 @@ A word is a content element composed of a sequence of characters.  In Form Recog
 
 A selection mark is a content element that represents a visual glyph indicating the state of a selection.  Checkbox is a common form of selection marks.  However, they may also be represented via radio buttons or a boxed cell in a visual form.  The state of a selection mark may be selected or unselected, with different visual representation to indicate the state.
 
-:::image type="content" source="media/selection-marks.png" alt-text="Screenshot of detected selection marks example":::
+:::image type="content" source="media/selection-marks.png" alt-text="Screenshot of detected selection marks example.":::
 
 ### Layout elements
 

articles/applied-ai-services/form-recognizer/concept-custom-label-tips.md

@@ -23,7 +23,7 @@ The Studio now includes a search box for instances when you know you need to fin
 
 ## Auto label tables
 
-Tables can be challenging to label, when they have many rows or dense text. If the layout table extracts the result you need, you should just use that result and skip the labeling process. In instances where the layout table isn't exactly what you need, you can start with generating the table field from the values layout extracts. Start by selecting the table icon on the page and select on the auto label button. You can then edit the values as needed. Auto label currently only supports single page tables and a future update will include support for multi page tables.
+Tables can be challenging to label, when they have many rows or dense text. If the layout table extracts the result you need, you should just use that result and skip the labeling process. In instances where the layout table isn't exactly what you need, you can start with generating the table field from the values layout extracts. Start by selecting the table icon on the page and select on the auto label button. You can then edit the values as needed. Auto label currently only supports single page tables.
 
 ## Shift select
 

articles/applied-ai-services/form-recognizer/concept-custom-label.md

@@ -67,7 +67,7 @@ Use the following guidelines to define the fields:
 
 ## Model capabilities
 
-Custom neural models currently only support key-value pairs, structured fields (tables), and selection marks. Future releases will include support for signatures.
+Custom neural models currently only support key-value pairs, structured fields (tables), and selection marks. 
 
 | Model type | Form fields | Selection marks | Tabular fields | Signature | Region |
 |--|--|--|--|--|--|