From 230e7cc705eef7800924917c23b9b4242d69f926 Mon Sep 17 00:00:00 2001
From: cneud <952378+cneud@users.noreply.github.com>
Date: Mon, 20 Oct 2025 22:52:54 +0200
Subject: [PATCH] integrate ocrd docs

---
 README.md    | 11 ++---------
 docs/ocrd.md |  5 +++++
 2 files changed, 7 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index fabb594..d6930f7 100644
--- a/README.md
+++ b/README.md
@@ -157,7 +157,7 @@ eynollah ocr \
 
 ### Reading Order Detection
 
-The machine-based reading-order module employs a pretrained model to identify the reading order from layouts represented in PAGE-XML files.
+The reading order detection module employs a pretrained model to identify the reading order from layouts represented in PAGE-XML files.
 
 The command-line interface for machine based reading order can be called like this:
 
@@ -169,17 +169,10 @@ eynollah machine-based-reading-order \
   -o <output directory> 
 ```
 
-#### Use as OCR-D processor
-
-Eynollah ships with a CLI interface to be used as [OCR-D](https://ocr-d.de) [processor](https://ocr-d.de/en/spec/cli),
-formally described in [`ocrd-tool.json`](https://github.com/qurator-spk/eynollah/tree/main/src/eynollah/ocrd-tool.json).
-
-Further documentation on using Eynollah with OCR-D can be found in [`ocrd.md`](https://github.com/qurator-spk/eynollah/tree/main/docs/ocrd.md).
-
 ## How to cite
 
 ```bibtex
-@inproceedings{hip23eynollah,
+@inproceedings{hip23rezanezhad,
   title     = {Document Layout Analysis with Deep Learning and Heuristics},
   author    = {Rezanezhad, Vahid and Baierer, Konstantin and Gerber, Mike and Labusch, Kai and Neudecker, Clemens},
   booktitle = {Proceedings of the 7th International Workshop on Historical Document Imaging and Processing {HIP} 2023,
diff --git a/docs/ocrd.md b/docs/ocrd.md
index a391024..9e7e268 100644
--- a/docs/ocrd.md
+++ b/docs/ocrd.md
@@ -1,3 +1,8 @@
+## Use as OCR-D processor
+
+Eynollah ships with a CLI interface to be used as [OCR-D](https://ocr-d.de) [processor](https://ocr-d.de/en/spec/cli),
+formally described in [`ocrd-tool.json`](https://github.com/qurator-spk/eynollah/tree/main/src/eynollah/ocrd-tool.json).
+
 When using Eynollah in OCR-D, the source image file group with (preferably) RGB images should be used as input like this:
 
     ocrd-eynollah-segment -I OCR-D-IMG -O OCR-D-SEG -P models eynollah_layout_v0_5_0