diff --git a/docs/execution-providers/NNAPI-ExecutionProvider.md b/docs/execution-providers/NNAPI-ExecutionProvider.md
index 458f847e06..8a7f115e69 100644
--- a/docs/execution-providers/NNAPI-ExecutionProvider.md
+++ b/docs/execution-providers/NNAPI-ExecutionProvider.md
@@ -98,6 +98,7 @@ Following ops are supported by the NNAPI Execution Provider,
|ai.onnx:Abs||
|ai.onnx:Add||
|ai.onnx:AveragePool|Only 2D Pool is supported.|
+|ai.onnx:BatchNormalization||
|ai.onnx:Cast||
|ai.onnx:Clip||
|ai.onnx:Concat||
@@ -114,7 +115,9 @@ Following ops are supported by the NNAPI Execution Provider,
|ai.onnx:GlobalAveragePool|Only 2D Pool is supported.|
|ai.onnx:GlobalMaxPool|Only 2D Pool is supported.|
|ai.onnx:Identity||
+|ai.onnx:LeakyRelu||
|ai.onnx:Log||
+|ai.onnx:LRN||
|ai.onnx:MatMul||
|ai.onnx:MaxPool|Only 2D Pool is supported.|
|ai.onnx:Max||
@@ -127,6 +130,7 @@ Following ops are supported by the NNAPI Execution Provider,
|ai.onnx:QLinearConv|Only 2D Conv is supported.
Weights and bias should be constant.
All quantization scales and zero points should be constant.|
|ai.onnx:QLinearMatMul|All quantization scales and zero points should be constant.|
|ai.onnx:QuantizeLinear|All quantization scales and zero points should be constant.|
+|ai.onnx:ReduceMean||
|ai.onnx:Relu||
|ai.onnx:Reshape||
|ai.onnx:Resize|Only 2D Resize is supported.|
@@ -134,6 +138,7 @@ Following ops are supported by the NNAPI Execution Provider,
|ai.onnx:Sin||
|ai.onnx:Slice||
|ai.onnx:Softmax||
+|ai.onnx:Split|Number of splits must evenly divide split axis size. Input split should be constant if provided.|
|ai.onnx:Sqrt||
|ai.onnx:Squeeze|Input axes should be constant.|
|ai.onnx:Sub||