diff --git a/mediapipe/tasks/ios/text/text_classifier/sources/MPPTextClassifier.h b/mediapipe/tasks/ios/text/text_classifier/sources/MPPTextClassifier.h
index 813311fc2..fe1264655 100644
--- a/mediapipe/tasks/ios/text/text_classifier/sources/MPPTextClassifier.h
+++ b/mediapipe/tasks/ios/text/text_classifier/sources/MPPTextClassifier.h
@@ -21,49 +21,52 @@
 NS_ASSUME_NONNULL_BEGIN
 
 /**
+ * @brief Performs classification on text.
+ * 
  * This API expects a TFLite model with (optional) [TFLite Model
  * Metadata](https://www.tensorflow.org/lite/convert/metadata")that contains the mandatory
- * (described below) input tensors, output tensor, and the optional (but recommended) label items as
- * AssociatedFiles with type TENSOR_AXIS_LABELS per output classification tensor.
+ * (described below) input tensors, output tensor, and the optional (but recommended) label 
+ * items as AssociatedFiles with type TENSOR_AXIS_LABELS per output classification tensor.
  *
- * Metadata is required for models with int32 input tensors because it contains the input process
- * unit for the model's Tokenizer. No metadata is required for models with string input tensors.
+ * Metadata is required for models with int32 input tensors because it contains the input 
+ * process unit for the model's Tokenizer. No metadata is required for models with string 
+ * input tensors.
  *
  * Input tensors
  *  - Three input tensors `kTfLiteInt32` of shape `[batch_size xbert_max_seq_len]`
- *    representing the input ids, mask ids, and segment ids. This input signature requires a
- *    Bert Tokenizer process unit in the model metadata.
+ *    representing the input ids, mask ids, and segment ids. This input signature requires 
+ *    a Bert Tokenizer process unit in the model metadata.
  *  - Or one input tensor `kTfLiteInt32` of shape `[batch_size xmax_seq_len]` representing
  *    the input ids. This input signature requires a Regex Tokenizer process unit in the
  *    model metadata.
- *  - Or one input tensor ({@code kTfLiteString}) that is shapeless or has shape `[1]` containing
- * the input string.
+ *  - Or one input tensor (`kTfLiteString`) that is shapeless or has shape `[1]` containing
+ *    the input string.
  *
- * At least one output tensor `(kTfLiteFloat32}/kBool)` with:
+ * At least one output tensor (`kTfLiteFloat32/kBool`) with:
  *  - `N` classes and shape `[1 x N]`
- *  - optional (but recommended) label map(s) as AssociatedFile-s with type TENSOR_AXIS_LABELS,
- *    containing one label per line. The first such AssociatedFile (if any) is used to fill the
- *    `class_name` field of the results. The `display_name` field is filled from the AssociatedFile
- *    (if any) whose locale matches the `display_names_locale` field of the
- * `MPPTextClassifierOptions` used at creation time ("en" by default, i.e. English). If none of
- * these are available, only the `index` field of the results will be filled.
- *
- * @brief Performs classification on text.
- */
+ *  - optional (but recommended) label map(s) as AssociatedFiles with type 
+ *    TENSOR_AXIS_LABELS,
+ *    containing one label per line. The first such AssociatedFile (if any) is used to fill 
+ *    the `categoryName` field of the results. The `displayName` field is filled from the 
+ *    AssociatedFile (if any) whose locale matches the `displayNamesLocale` field of the 
+ *    `MPPTextClassifierOptions` used at creation time ("en" by default, i.e. English). If 
+ *    none of these are available, only the `index` field of the results will be filled.
+ **/
 NS_SWIFT_NAME(TextClassifier)
 @interface MPPTextClassifier : NSObject
 
 /**
- * Creates a new instance of `MPPTextClassifier` from an absolute path to a TensorFlow Lite model
- * file stored locally on the device and the default `MPPTextClassifierOptions`.
+ * Creates a new instance of `MPPTextClassifier` from an absolute path to a TensorFlow Lite
+ * model file stored locally on the device and the default `MPPTextClassifierOptions`.
  *
- * @param modelPath An absolute path to a TensorFlow Lite model file stored locally on the device.
+ * @param modelPath An absolute path to a TensorFlow Lite model file stored locally on the
+ * device.
  * @param error An optional error parameter populated when there is an error in initializing
  * the text classifier.
  *
  * @return A new instance of `MPPTextClassifier` with the given model path. `nil` if there is an
  * error in initializing the text classifier.
- */
+ **/
 - (instancetype)initWithModelPath:(NSString *)modelPath error:(NSError **)error;
 
 /**
@@ -74,10 +77,11 @@ NS_SWIFT_NAME(TextClassifier)
  * @param error An optional error parameter populated when there is an error in initializing
  * the text classifier.
  *
- * @return A new instance of `MPPTextClassifier` with the given options. `nil` if there is an error
- * in initializing the text classifier.
- */
-- (instancetype)initWithOptions:(MPPTextClassifierOptions *)options error:(NSError **)error;
+ * @return A new instance of `MPPTextClassifier` with the given options. `nil` if there is an
+ * error in initializing the text classifier.
+ **/
+- (instancetype)initWithOptions:(MPPTextClassifierOptions *)options
+                          error:(NSError **)error NS_DESIGNATED_INITIALIZER;
 
 /**
  * Performs classification on the input text.
@@ -87,7 +91,7 @@ NS_SWIFT_NAME(TextClassifier)
  * classification on the input text.
  *
  * @return  A `MPPTextClassifierResult` object that contains a list of text classifications.
- */
+ **/
 - (nullable MPPTextClassifierResult *)classifyWithText:(NSString *)text error:(NSError **)error;
 
 - (instancetype)init NS_UNAVAILABLE;