diff --git a/README.md b/README.md
index e7b28fd..bf1fd89 100644
--- a/README.md
+++ b/README.md
@@ -1,24 +1,22 @@
 # Textline-Recognition
 
-***
-# Tool
-This tool does textline detection of image and throw result as xml data.
+## Introduction
+This tool performs textline detection from document image data and returns the results as PAGE-XML.
 
-# Models
-In order to run this tool you need corresponding models. You can find them here:
+## Installation
 
-https://file.spk-berlin.de:8443/textline_detection/
-
-# Installation
-
-sudo pip install .
+`pip install .`
 
-# Usage
+## Models
+In order to run this tool you also need trained models. You can download our pre-trained models from here:   
+https://file.spk-berlin.de:8443/textline_detection/
 
-sbb_textline_detector -i 'image file name' -o 'directory to write output xml' -m 'directory of models'
+## Usage
 
+`sbb_textline_detector -i <image file name> -o <directory to write output xml> -m <directory of models>`
 
 ## Usage with OCR-D
+
 ~~~
 ocrd-example-binarize -I OCR-D-IMG -O OCR-D-IMG-BIN
 ocrd_sbb_textline_detector -I OCR-D-IMG-BIN -O OCR-D-SEG-LINE-SBB \
@@ -29,4 +27,4 @@ Segmentation works on raw RGB images, but respects and retains
 `AlternativeImage`s from binarization steps, so it's a good idea to do
 binarization first, then perform the textline detection. The used binarization
 processor must produce an `AlternativeImage` for the binarized image, not
-replace the original raw RGB image.
+replace the original raw RGB image.
\ No newline at end of file