A Python asyncio wrapper for Tesseract-OCR.
Install and update using pip:
pip install aiopytesseract
from pathlib import Path
import aiopytesseract
# list all available languages by tesseract installation
await aiopytesseract.languages()
await aiopytesseract.get_languages()
# tesseract version
await aiopytesseract.tesseract_version()
await aiopytesseract.get_tesseract_version()
# tesseract parameters
await aiopytesseract.tesseract_parameters()
# confidence only info
await aiopytesseract.confidence("tests/samples/file-sample_150kB.png")
# deskew info
await aiopytesseract.deskew("tests/samples/file-sample_150kB.png")
# extract text from an image: locally or bytes
await aiopytesseract.image_to_string("tests/samples/file-sample_150kB.png")
await aiopytesseract.image_to_string(
Path("tests/samples/file-sample_150kB.png")read_bytes(), dpi=220, lang='eng+por'
)
# box estimates
await aiopytesseract.image_to_boxes("tests/samples/file-sample_150kB.png")
await aiopytesseract.image_to_boxes(Path("tests/samples/file-sample_150kB.png")
# boxes, confidence and page numbers
await aiopytesseract.image_to_data("tests/samples/file-sample_150kB.png")
await aiopytesseract.image_to_data(Path("tests/samples/file-sample_150kB.png")
# information about orientation and script detection
await aiopytesseract.image_to_osd("tests/samples/file-sample_150kB.png")
await aiopytesseract.image_to_osd(Path("tests/samples/file-sample_150kB.png")
# generate a searchable PDF
await aiopytesseract.image_to_pdf("tests/samples/file-sample_150kB.png")
await aiopytesseract.image_to_pdf(Path("tests/samples/file-sample_150kB.png")
# generate HOCR output
await aiopytesseract.image_to_hocr("tests/samples/file-sample_150kB.png")
await aiopytesseract.image_to_hocr(Path("tests/samples/file-sample_150kB.png")
# multi ouput
async with aiopytesseract.run(
Path('tests/samples/file-sample_150kB.png').read_bytes(),
'output',
'alto tsv txt'
) as resp:
# will generate (output.xml, output.tsv and output.txt)
print(resp)
alto_file, tsv_file, txt_file = resp
If you want to test aiopytesseract easily, can you use some options like:
- docker
- docker-compose
- streamlit
Just copy and paste the following line.
docker run --rm --name aiopytesseract -p 8501:8501 amenezes/aiopytesseract
After clone this repo run the command below:
docker-compose up -d
For this option it's necessary first install aiopytesseract
and streamlit
, after execute:
streamlit run https://github.com/amenezes/aiopytesseract/blob/master/examples/streamlit/app.py
note: The streamlit example need python >= 3.10
- License: Apache License
- Code: https://github.com/amenezes/aiopytesseract
- Issue tracker: https://github.com/amenezes/aiopytesseract/issues
- Docs: https://aiopytesseract.amenezes.net