diff --git a/README.md b/README.md
index 85624d9..98834e5 100644
--- a/README.md
+++ b/README.md
@@ -14,10 +14,10 @@ This software implements a heavily parallelized pipeline to recognize text in PD
 
 1. Install Docker and Python 3.
 2. Clone this repository: `git clone https://gitlab.ub.uni-bielefeld.de/sfb1288inf/ocr.git`
-2. Build the Docker image: `docker build -t gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:v0.1.0 ocr`
-2. Add the wrapper script (`wrapper/ocr` relative to this README file) to your `${PATH}`.
-3. Create working directories for the pipeline: `mkdir -p /<my_data_location>/{input,models,output}`.
-4. Place your Tesseract OCR model(s) inside `/<my_data_location>/models`.
+3. Build the Docker image: `docker build -t gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:v0.1.0 ocr`
+4. Add the wrapper script (`wrapper/ocr` relative to this README file) to your `${PATH}`.
+5. Create working directories for the pipeline: `mkdir -p /<my_data_location>/{input,models,output}`.
+6. Place your Tesseract OCR model(s) inside `/<my_data_location>/models`.
 
 ## Use the Pipeline