diff --git a/_analyzers/token-filters/index.md b/_analyzers/token-filters/index.md
index 10861aaf40..3af92168f7 100644
--- a/_analyzers/token-filters/index.md
+++ b/_analyzers/token-filters/index.md
@@ -49,7 +49,7 @@ Normalization | `arabic_normalization`: [ArabicNormalizer](https://lucene.apache
 `pattern_replace` | N/A | Matches a pattern in the provided regular expression and replaces matching substrings. Uses [Java regular expression syntax](https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html).
 `phonetic` | N/A | Uses a phonetic encoder to emit a metaphone token for each token in the token stream. Requires installing the `analysis-phonetic` plugin.
 `porter_stem` | [PorterStemFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/en/PorterStemFilter.html) | Uses the [Porter stemming algorithm](https://tartarus.org/martin/PorterStemmer/) to perform algorithmic stemming for the English language.
-`predicate_token_filter` | N/A | Removes tokens that don’t match the specified predicate script. Supports inline Painless scripts only.
+[`predicate_token_filter`]({{site.url}}{{site.baseurl}}/analyzers/token-filters/predicate-token-filter/) | N/A | Removes tokens that do not match the specified predicate script. Supports only inline Painless scripts.
 `remove_duplicates` | [RemoveDuplicatesTokenFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/miscellaneous/RemoveDuplicatesTokenFilter.html) | Removes duplicate tokens that are in the same position.
 `reverse` | [ReverseStringFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html) | Reverses the string corresponding to each token in the token stream. For example, the token `dog` becomes `god`.
 `shingle` | [ShingleFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/shingle/ShingleFilter.html) | Generates shingles of lengths between `min_shingle_size` and `max_shingle_size` for tokens in the token stream. Shingles are similar to n-grams but apply to words instead of letters. For example, two-word shingles added to the list of unigrams [`contribute`, `to`, `opensearch`] are [`contribute to`, `to opensearch`].
diff --git a/_analyzers/token-filters/predicate-token-filter.md b/_analyzers/token-filters/predicate-token-filter.md
new file mode 100644
index 0000000000..24729f0224
--- /dev/null
+++ b/_analyzers/token-filters/predicate-token-filter.md
@@ -0,0 +1,82 @@
+---
+layout: default
+title: Predicate token filter
+parent: Token filters
+nav_order: 340
+---
+
+# Predicate token filter
+
+The `predicate_token_filter` evaluates whether tokens should be kept or discarded, depending on the conditions defined in a custom script. The tokens are evaluated in the analysis predicate context. This filter supports only inline Painless scripts.
+
+## Parameters
+
+The `predicate_token_filter` has one required parameter: `script`. This parameter provides a condition that is used to evaluate whether the token should be kept. 
+
+## Example
+
+The following example request creates a new index named `predicate_index` and configures an analyzer with a `predicate_token_filter`. The filter specifies to only output tokens if they are longer than 7 characters:
+
+```json
+PUT /predicate_index
+{
+  "settings": {
+    "analysis": {
+      "filter": {
+        "my_predicate_filter": {
+          "type": "predicate_token_filter",
+          "script": {
+            "source": "token.term.length() > 7"
+          }
+        }
+      },
+      "analyzer": {
+        "predicate_analyzer": {
+          "tokenizer": "standard",
+          "filter": [
+            "lowercase",
+            "my_predicate_filter"
+          ]
+        }
+      }
+    }
+  }
+}
+```
+{% include copy-curl.html %}
+
+## Generated tokens
+
+Use the following request to examine the tokens generated using the analyzer:
+
+```json
+POST /predicate_index/_analyze
+{
+  "text": "The OpenSearch community is growing rapidly",
+  "analyzer": "predicate_analyzer"
+}
+```
+{% include copy-curl.html %}
+
+The response contains the generated tokens:
+
+```json
+{
+  "tokens": [
+    {
+      "token": "opensearch",
+      "start_offset": 4,
+      "end_offset": 14,
+      "type": "<ALPHANUM>",
+      "position": 1
+    },
+    {
+      "token": "community",
+      "start_offset": 15,
+      "end_offset": 24,
+      "type": "<ALPHANUM>",
+      "position": 2
+    }
+  ]
+}
+```