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README.md

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+# Installation
+
+## Install additional packages
+1. Install `screen`. We will use this to execute commands in their own terminal session.
+
+## Build your own image
+
+1. Clone this repository and navigate into it.
+2. Build the image from the dockerfile. `docker build -t <image_name>:<tag> .` For example: `docker build -t ocr_container:latest .`
+
+Alternatively build directly from git.
+1. Use the following command to build directly from gitLab. `docker build -t <image_name>:<tag> https://gitlab.ub.uni-bielefeld.de/sfb1288inf/ocr.git`.
+
+## Folder setup
+
+1. Create input and output folders for the OCR files.
+2. `mkdir -p /some/path/<container-name>/ocr/files_for_ocr /some/path/<image_name>/ocr/files_from_ocr`
+
+## Run the container
+
+1. Run container from an image. <contianer_name> and /some/path are the same as mentioned in the step folder setup. We are creating two volumes based on the folder paths provided in the section Folder setup.
+```
+docker run \
+  --name <container-name> \
+  -dit \
+  -v /some/path/<container-name>/files_for_ocr:/root/files_for_ocr \
+  -v /some/path/<container-name>/files_from_ocr:/root/files_from_ocr \
+  <image_name>
+```
+
+## Start an OCR job
+1. Place some files inside the folder _files\_for\_ocr_. Files can either be multipage tiffs or PDF files. One folder per file is needed. Files should all be of the same language.
+2. Start a screen session with `screen -dmS <container_name>`
+3. Enter the screen session with `screen -r <container-name>`. (Try this if there is an error. `script -q -c "screen -r <container-name>" /dev/null`).
+4. Start the OCR process for all files placed in _files\_for\_ocr_ with `docker exec -it <container-name> ocr -i files_for_ocr -o files_from_ocr -l <sprachcode>`.
+
+Valid language codes are:
+- deu (German)
+- deu_frak (German Fraktur)
+- eng (English)
+- enm (Middle englisch)
+- fra (French)
+- frm (Middle french)
+- por (Portuguese)
+- spa (Spanish)
+
+## Exit an re-enter the current running OCR process
+1. You can leave the currently running OCR process by pressing `ctrl + a + d` and thus leaving the screen session.
+2. Re-enter the screen session to check the status of the running OCR job with `screen -r <container-name>`. (Try this if there is an error. `script -q -c "screen -r <container-name>" /dev/null`).
+
+## Use prebuilt image
+
+## Add additional trained data for OCR of additional languages.
+TBD