https://github.com/iwstkhr/python-tesseract-ocr-example
This repository is intended for validation of Japanese OCR accuracy using Tesseract OCR + pytesseract.
https://github.com/iwstkhr/python-tesseract-ocr-example
japanese pytesseract tesseract-ocr
Last synced: 3 months ago
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This repository is intended for validation of Japanese OCR accuracy using Tesseract OCR + pytesseract.
- Host: GitHub
- URL: https://github.com/iwstkhr/python-tesseract-ocr-example
- Owner: iwstkhr
- License: mit
- Created: 2022-06-04T13:11:11.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2025-02-22T02:06:55.000Z (3 months ago)
- Last Synced: 2025-02-23T20:42:27.736Z (3 months ago)
- Topics: japanese, pytesseract, tesseract-ocr
- Language: Python
- Homepage:
- Size: 789 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## Introduction
This repository demonstrates how to perform OCR on Japanese PDFs using [**Tesseract OCR v4**](https://github.com/tesseract-ocr/tesseract) and [**pytesseract**](https://pypi.org/project/pytesseract/).
The source text is [**Run, Melos!**](http://pddlib.v.wol.ne.jp/literature/dazai/meros.htm) by Osamu Dazai, a work that is now in the public domain.
## Prerequisites
Before we start, ensure the following libraries are installed:
- [pdf2image](https://pypi.org/project/pdf2image/)
- [pytesseract](https://pypi.org/project/pytesseract/)
Additionally, Tesseract OCR itself must be installed. Follow the instructions on the [official repository](https://github.com/tesseract-ocr/tesseract) to set it up.
## Steps to Perform OCR
A python script - [app.py](app.py) - executes the following:
1. Convert a PDF to PNG image data using pdf2image.
2. Extract characters from the converted data using Tesseract OCR and pytesseract.
3. Save the result in a text file.
Run the following command:
```shell
NAME=pytesseract-sample
docker build -t $NAME .
docker run --name $NAME $NAME
# You can see OCR processing result in `result.txt`.
docker cp $NAME:/usr/src/app/result.txt ./
less result.txt
# Clean up
docker container rm $NAME
docker image rm $NAME
```
## Result
- **Original Text**: [original.txt](original.txt)
- **OCR Result**: [result.txt](result.txt)
### Notes on Diff Tools
Since the script removes newlines, comparing results using the `diff` command may be ineffective. Instead, consider GUI-based tools like [Araxis Merge](https://www.araxis.com/merge/) or [WinMerge](https://winmerge.org/).
## Conclusion
Using **Tesseract OCR** and **pytesseract**, we can efficiently extract text from Japanese PDFs. While the results are promising, the accuracy may vary based on the complexity of the PDF layout.
Happy Coding! 🚀