diff --git a/data-explorer/kusto/functions-library/functions-library.md b/data-explorer/kusto/functions-library/functions-library.md
index 9af4edae82..b48efa6d2f 100644
--- a/data-explorer/kusto/functions-library/functions-library.md
+++ b/data-explorer/kusto/functions-library/functions-library.md
@@ -124,3 +124,4 @@ The following section contains common [PromQL](https://prometheus.io/docs/promet
 | [log_reduce_predict_fl()](log-reduce-predict-fl.md) | Apply a trained model to find common patterns in textual logs and output a summary table. |
 | [log_reduce_predict_full_fl()](log-reduce-predict-full-fl.md) | Apply a trained model to find common patterns in textual logs and output a full table. |
 | [log_reduce_train_fl()](log-reduce-train-fl.md) | Find common patterns in textual logs and output a model. |
+| [tokenize_fl()](tokenize-fl.md) | Tokenize semi-structured text strings into separate columns. |
diff --git a/data-explorer/kusto/functions-library/toc.yml b/data-explorer/kusto/functions-library/toc.yml
index a43590e722..25cf80c6f4 100644
--- a/data-explorer/kusto/functions-library/toc.yml
+++ b/data-explorer/kusto/functions-library/toc.yml
@@ -197,6 +197,9 @@ items:
 - name: time_window_rolling_avg_fl()
   displayName: functions library, rolling, sliding
   href: time-window-rolling-avg-fl.md
+- name: tokenize_fl()
+  displayName: functions library, tokenizer, text analytics, log parsing, regex
+  href: tokenize-fl.md
 - name: two_sample_t_test_fl()
   displayName: functions library, statistical test
   href: two-sample-t-test-fl.md
diff --git a/data-explorer/kusto/functions-library/tokenize-fl.md b/data-explorer/kusto/functions-library/tokenize-fl.md
new file mode 100644
index 0000000000..b7c7e2e518
--- /dev/null
+++ b/data-explorer/kusto/functions-library/tokenize-fl.md
@@ -0,0 +1,143 @@
+---
+title:  tokenize_fl()
+description:  This article describes tokenize_fl() user-defined function.
+ms.reviewer: adieldar
+ms.topic: reference
+ms.date: 01/01/2026
+monikerRange: "microsoft-fabric || azure-data-explorer || azure-monitor || microsoft-sentinel"
+---
+# tokenize_fl()
+
+>[!INCLUDE [applies](../includes/applies-to-version/applies.md)] [!INCLUDE [fabric](../includes/applies-to-version/fabric.md)] [!INCLUDE [azure-data-explorer](../includes/applies-to-version/azure-data-explorer.md)] [!INCLUDE [monitor](../includes/applies-to-version/monitor.md)] [!INCLUDE [sentinel](../includes/applies-to-version/sentinel.md)]
+
+The function `tokenize_fl()` is a [user-defined function (UDF)](../query/functions/user-defined-functions.md) that tokenizes semi-structured text strings, such as log lines, into separate columns. It uses a regex-based approach to split text on non-alphanumeric delimiters while preserving common semantic characters like periods, hyphens, colons, slashes, and equals signs.
+
+## Syntax
+
+*T* `|` `invoke` `tokenize_fl(`*text_col*`)`
+
+[!INCLUDE [syntax-conventions-note](../includes/syntax-conventions-note.md)]
+
+## Parameters
+
+|Name|Type|Required|Description|
+|--|--|--|--|
+|*text_col*| `string` | :heavy_check_mark:| The name of the string column containing the text to tokenize.|
+
+## Function definition
+
+You can define the function by either embedding its code as a query-defined function, or creating it as a stored function in your database, as follows:
+
+### [Query-defined](#tab/query-defined)
+
+Define the function using the following [let statement](../query/let-statement.md). No permissions are required.
+
+> [!IMPORTANT]
+> A [let statement](../query/let-statement.md) can't run on its own. It must be followed by a [tabular expression statement](../query/tabular-expression-statements.md). To run a working example of `tokenize_fl()`, see [Example](#example).
+
+```kusto
+let tokenize_fl=(tbl:(*), text_col:string)
+{
+    let universal_regex = @"[^\w\.\-:/=]+";             //  Universal Token Splitter
+    tbl
+    | serialize _rid=row_number()
+    | join (tbl
+    | extend _text = column_ifexists(text_col, '')
+    | extend norm = replace_regex(_text, universal_regex, "$$$")
+    | extend tokens = split(norm, "$$$")
+    | serialize _rid=row_number()
+    | mv-expand with_itemindex = i tokens
+    | summarize cols = make_bag(bag_pack(strcat("col", tostring(i + 1)), tokens)) by _rid
+    | evaluate bag_unpack(cols)
+    ) on _rid
+    | project-away _rid, _rid1
+};
+// Write your query to use the function here.
+```
+
+### [Stored](#tab/stored)
+
+Define the stored function once using the following [`.create function`](../management/create-function.md). [Database User permissions](../access-control/role-based-access-control.md) are required.
+
+> [!IMPORTANT]
+> You must run this code to create the function before you can use the function as shown in the [Example](#example).
+
+```kusto
+.create-or-alter function with (folder = "Packages\\ML", docstring = "regex tokenizer for log strings")
+tokenize_fl(tbl:(*), text_col:string)
+{
+    let universal_regex = @"[^\w\.\-:/=]+";             //  Universal Token Splitter
+    tbl
+    | serialize _rid=row_number()
+    | join (tbl
+    | extend _text = column_ifexists(text_col, '')
+    | extend norm = replace_regex(_text, universal_regex, "$$$")
+    | extend tokens = split(norm, "$$$")
+    | serialize _rid=row_number()
+    | mv-expand with_itemindex = i tokens
+    | summarize cols = make_bag(bag_pack(strcat("col", tostring(i + 1)), tokens)) by _rid
+    | evaluate bag_unpack(cols)
+    ) on _rid
+    | project-away _rid, _rid1
+}
+```
+
+---
+
+## Example
+
+The following example uses the [invoke operator](../query/invoke-operator.md) to run the function.
+
+### [Query-defined](#tab/query-defined)
+
+To use a query-defined function, invoke it after the embedded function definition.
+
+```kusto
+let tokenize_fl=(tbl:(*), text_col:string)
+{
+    let universal_regex = @"[^\w\.\-:/=]+";             //  Universal Token Splitter
+    tbl
+    | serialize _rid=row_number()
+    | join (tbl
+    | extend _text = column_ifexists(text_col, '')
+    | extend norm = replace_regex(_text, universal_regex, "$$$")
+    | extend tokens = split(norm, "$$$")
+    | serialize _rid=row_number()
+    | mv-expand with_itemindex = i tokens
+    | summarize cols = make_bag(bag_pack(strcat("col", tostring(i + 1)), tokens)) by _rid
+    | evaluate bag_unpack(cols)
+    ) on _rid
+    | project-away _rid, _rid1
+};
+let tbl = datatable(s:string)
+[
+  "INFO 2025-12-11T11:22:33Z device=cam01 temp=32.8C ip=10.0.0.5/24",
+  "WARN user=adi path=/var/log/syslog error:disk-full id=aa:bb:cc:01",
+];
+tbl
+| invoke tokenize_fl('s')
+```
+
+### [Stored](#tab/stored)
+
+> [!IMPORTANT]
+> For this example to run successfully, you must first run the [Function definition](#function-definition) code to store the function.
+
+```kusto
+let tbl = datatable(s:string)
+[
+  "INFO 2025-12-11T11:22:33Z device=cam01 temp=32.8C ip=10.0.0.5/24",
+  "WARN user=adi path=/var/log/syslog error:disk-full id=aa:bb:cc:01",
+];
+tbl
+| invoke tokenize_fl('s')
+```
+
+---
+
+**Output**
+
+| s | col1 | col2 | col3 | col4 | col5 | col6 |
+|--|--|--|--|--|--|--|
+| INFO 2025-12-11T11:22:33Z device=cam01 temp=32.8C ip=10.0.0.5/24 | INFO | 2025-12-11T11:22:33Z | device=cam01 | temp=32.8C | ip=10.0.0.5/24 | |
+| WARN user=adi path=/var/log/syslog error:disk-full id=aa:bb:cc:01 | WARN | user=adi | path=/var/log/syslog | error:disk-full | id=aa:bb:cc:01 | |