diff --git a/README.md b/README.md
index f3902454..a975cdcd 100644
--- a/README.md
+++ b/README.md
@@ -52,6 +52,71 @@ Works on macOS, Linux and Windows environments. Both x86_64 and arm64 architectu
```
+
+ Alternative OCR engines
+
+ Docling supports multiple OCR engines for processing scanned documents. The current version provides
+ the following engines.
+
+ | Engine | Installation | Usage |
+ | ------ | ------------ | ----- |
+ | [EasyOCR](https://github.com/JaidedAI/EasyOCR) | Default in Docling or via `pip install easyocr`. | `EasyOcrOptions` |
+ | Tesseract | System dependency. See description for Tesseract and Tesserocr below. | `TesseractOcrOptions` |
+ | Tesseract CLI | System dependency. See description below. | `TesseractCliOcrOptions` |
+
+ The Docling `DocumentConverter` allows to choose the OCR engine with the `ocr_options` settings. For example
+
+ ```python
+ from docling.datamodel.base_models import ConversionStatus, PipelineOptions
+ from docling.datamodel.pipeline_options import PipelineOptions, EasyOcrOptions, TesseractOcrOptions
+ from docling.document_converter import DocumentConverter
+
+ pipeline_options = PipelineOptions()
+ pipeline_options.do_ocr = True
+ pipeline_options.ocr_options = TesseractOcrOptions() # Use Tesseract
+
+ doc_converter = DocumentConverter(
+ pipeline_options=pipeline_options,
+ )
+ ```
+
+ #### Tesseract installation
+
+ [Tesseract](https://github.com/tesseract-ocr/tesseract) is a popular OCR engine which is available
+ on most operating systems. For using this engine with Docling, Tesseract must be installed on your
+ system, using the packaging tool of your choice. Below we provide example commands.
+
+ For macOS, we reccomend using [Homebrew](https://brew.sh/).
+
+ ```console
+ brew install tesseract leptonica pkg-config
+ ```
+
+ For Debian-based systems.
+
+ ```console
+ apt-get install tesseract-ocr tesseract-ocr-eng libtesseract-dev libleptonica-dev pkg-config
+ ```
+
+ For RHEL systems.
+
+ ```console
+ dnf install tesseract tesseract-devel tesseract-langpack-eng leptonica-devel
+ ```
+
+ #### Linking to Tesseract
+ The most efficient usage of the Tesseract library is via linking. Docling is using
+ the [Tesserocr](https://github.com/sirfz/tesserocr) package for this.
+
+ If you get into installation issues of Tesserocr, we suggest using the following
+ installation options:
+
+ ```console
+ pip uninstall tesserocr
+ pip install --no-binary :all: tesserocr
+ ```
+
+
Docling development setup