Update README.md

Author: anisdismail

README.md

@@ -6,6 +6,7 @@ This repo is based on [Tensorflow Object Detection API](https://github.com/tenso
 The Tensorflow version used is 1.13.1. The inference REST API works on CPU and doesn't require any GPU usage. It's supported on both Windows and Linux Operating systems.
 
 Models trained using our training tensorflow repository can be deployed in this API. Several object detection models can be loaded and used at the same time.
+This repo also offers optical character recognition services to extract textboxes from images.
 
 This repo can be deployed using either **docker** or **docker swarm**.
 
@@ -153,8 +154,17 @@ Returns the specified model's configuration
 
 Performs inference on specified model and a list of images, and returns bounding boxes
 
-**P.S: Custom endpoints like /load, /detect, and /get_labels should be used in a chronological order. First you have to call /load, and then call /detect or /get_labels**
+#### /models/{model_name}/one_shot_ocr (POST)
 
+Takes an image and returns extracted text details. In first place a detection model will be used for cropping interesting areas in the uploaded image. Then, these areas will be passed to the OCR-Service for text extraction.
+
+#### /models/{model_name}/ocr (POST)
+
+![predict image](./docs/5.gif)
+
+Takes an image and returns extracted text details without using an object detection model
+
+**P.S: Custom endpoints like /load, /detect, /get_labels and /one_shot_ocr should be used in a chronological order. First you have to call /load, and then call /detect, /get_labels or /one_shot_ocr
 ## Model structure
 
 The folder "models" contains subfolders of all the models to be loaded.
@@ -257,3 +267,5 @@ Inside each subfolder there should be a:
 Joe Sleiman, inmind.ai , Beirut, Lebanon
 
 Antoine Charbel, inmind.ai, Beirut, Lebanon
+
+[Anis Ismail](https://www.linkedin.com/in/anisdismail), Lebanese American University, Beirut, Lebanon