Quote OTX as a models source

Author: sovrasov

README.md

@@ -1,11 +1,19 @@
 # OpenVINO Model API
 
-Model API is a set of wrapper classes for particular tasks and model architectures, simplifying data preprocess and postprocess as well as routine procedures (model loading, asynchronous execution, etc.). It is aimed at simplifying end-to-end model inference for different deployment scenarious, including local execution and serving. The Model API is based on the OpenVINO inference API.
+Model API is a set of wrapper classes for particular tasks and model architectures, simplifying data preprocess and postprocess as well as routine procedures (model loading, asynchronous execution, etc.). It is aimed at simplifying end-to-end model inference for different deployment scenarios, including local execution and serving. The Model API is based on the OpenVINO inference API.
 
 ## How it works
 
 Model API searches for additional information required for model inference, data, pre/postprocessing, label names, etc. directly in OpenVINO Intermediate Representation. This information is used to prepare the inference data, process and output the inference results in a human-readable format.
 
+Currently, ModelAPI supports models trained in [OpenVINO Training Extensions](https://github.com/openvinotoolkit/training_extensions) framework.
+Training Extensions embed all the metadata required for inference into model file. For models coming from other than Training Extensions frameworks metadata generation step is required before using ModelAPI.
+
+## Supported model formats
+
+- [OpenVINO IR](https://docs.openvino.ai/2025/documentation/openvino-ir-format.html)
+- [ONNX](https://onnx.ai)
+
 ## Features
 
 - Python and C++ API
@@ -42,7 +50,7 @@ Model API searches for additional information required for model inference, data
   cmake ../model_api/cpp -DOpenCV_DIR=<OpenCV cmake dir> -DOpenVINO_DIR=<OpenVINO cmake dir>
   ```
 
-`OpenCV` location is optional. In most cases, system OpenCV is discovered by cmake without extra guidance.
+`OpenCV` and `OpenVINO` locations are optional. In most cases, system these dependencies are discovered by cmake without extra guidance.
 
 - Build:
 
@@ -63,7 +71,7 @@ cmake --build . --target package -j
 ```python
 from model_api.models import Model
 
-# Create a model wrapper from a compatible model converted to OV format
+# Create a model wrapper from a compatible model generated by OpenVINO Training Extensions
 # Use URL to work with OVMS-served model, e.g. "localhost:9000/models/ssdlite_mobilenet_v2"
 model = Model.create_model("model.xml")