1
0
mirror of https://github.com/Stirling-Tools/Stirling-PDF.git synced 2024-11-14 03:20:14 +01:00
Stirling-PDF/HowToUseOCR.md

Ignoring revisions in .git-blame-ignore-revs. Click here to bypass and see the normal blame view.

80 lines
2.7 KiB
Markdown
Raw Normal View History

# OCR Language Packs and Setup
This document provides instructions on how to add additional language packs for the OCR tab in Stirling-PDF, both inside and outside of Docker.
## My OCR used to work and now doesn't!
2024-02-17 20:28:32 +01:00
The paths have changed for the tessadata locations on new docker images, please use ``/usr/share/tessdata`` (Others should still work for backwards compatability but might not)
2023-12-10 23:02:30 +01:00
## How does the OCR Work
2023-07-10 13:49:58 +02:00
Stirling-PDF uses [OCRmyPDF](https://github.com/ocrmypdf/OCRmyPDF) which in turn uses tesseract for its text recognition.
All credit goes to them for this awesome work!
## Language Packs
Tesseract OCR supports a variety of languages. You can find additional language packs in the Tesseract GitHub repositories:
- [tessdata_fast](https://github.com/tesseract-ocr/tessdata_fast): These language packs are smaller and faster to load, but may provide lower recognition accuracy.
- [tessdata](https://github.com/tesseract-ocr/tessdata): These language packs are larger and provide better recognition accuracy, but may take longer to load.
Depending on your requirements, you can choose the appropriate language pack for your use case. By default Stirling-PDF uses the tessdata_fast eng but this can be replaced.
### Installing Language Packs
1. Download the desired language pack(s) by selecting the `.traineddata` file(s) for the language(s) you need.
2. Place the `.traineddata` files in the Tesseract tessdata directory: `/usr/share/tessdata`
# DO NOT REMOVE EXISTING ENG.TRAINEDDATA, IT'S REQUIRED.
2023-04-30 15:42:26 +02:00
#### Docker
If you are using Docker, you need to expose the Tesseract tessdata directory as a volume in order to use the additional language packs.
#### Docker Compose
Modify your `docker-compose.yml` file to include the following volume configuration:
```yaml
services:
your_service_name:
image: your_docker_image_name
volumes:
- /location/of/trainingData:/usr/share/tessdata
```
#### Docker run
Add the following to your existing docker run command
```bash
-v /location/of/trainingData:/usr/share/tessdata
```
#### Non-Docker
If you are not using Docker, you need to install the OCR components, including the ocrmypdf app.
You can see [OCRmyPDF install guide](https://ocrmypdf.readthedocs.io/en/latest/installation.html)
Debian based systems, install languages with this command:
```bash
sudo apt update &&\
# All languages
# sudo apt install -y 'tesseract-ocr-*'
# Find languages:
apt search tesseract-ocr-
# View installed languages:
dpkg-query -W tesseract-ocr- | sed 's/tesseract-ocr-//g'
```
Fedora:
```bash
# All languages
# sudo dnf install -y tesseract-langpack-*
# Find languages:
dnf search -C tesseract-langpack-
# View installed languages:
rpm -qa | grep tesseract-langpack | sed 's/tesseract-langpack-//g'
```