# Multiprocessing library for OCR with WinRT
## pip install winrtocr
### Tested against Windows 10 / Python 3.10 / Anaconda
#### The results are not as good as the ones from Tesseract or EasyOCR, but it is way faster.
```python
from winrtocr import WinRTocr
from time import perf_counter
from a_cv_imwrite_imread_plus import open_image_in_cv
winrto = WinRTocr(cpus=5, language="en-US")
picslinks = [
r"https://github.com/hansalemaos/screenshots/raw/main/pandsnesteddicthtml.png",
r"https://github.com/hansalemaos/screenshots/raw/main/cv2_putTrueTypeText_000000.png",
r"https://github.com/hansalemaos/screenshots/raw/main/cv2_putTrueTypeText_000008.png",
r"https://github.com/hansalemaos/screenshots/raw/main/cv2_putTrueTypeText_000017.png",
]
picsunique = [open_image_in_cv(x, channels_in_output=4) for x in picslinks]
pics = []
for _ in range(100):
pics.extend(picsunique)
start = perf_counter()
dfa = winrto.get_ocr_df(pics)
print(f"Multi: {perf_counter()-start}")
dfa2 = winrto.get_ocr_df_and_pics(pics)
```
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