ocrlib
Uso simples
from ocr_stream import File, TextRecognized, RecognizeImage, RecognizePdf
passo 1:
instânciar o objeto para reconhecer texto, utilizando o caminho do tesseract
tess: File = File('/usr/bin/tesseract') # Substitua pelo tesseract do seu sistema ocr = RecognizeImage.create(path_tesseract=tess)
passo 2:
instânciar um arquivo de imagem para extrair o texto.
image: File = File('path/to/file.png')
passo 3:
extrair o texto
text: str = ocr.image_to_string(image) print(text)
passo 4 opcional:
você pode salvar um arquivo PDF com o texto extraido
output_file: File = File('path/to/save.pdf') recognized: TextRecognized = ocr.image_recognize(image) recognized.to_document().to_file_pdf(output_file)
passo 5 opcional:
você pode salvar uma planilha com o texto da imagem
output_excel: File = File('path/to/file.xlsx') recognized: TextRecognized = ocr.image_recognize(image) recognized.to_document().to_excel(output_excel)
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Metadata
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Release files for ocr-stream 2.6
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| File | Size | Uploaded | Provenance | Actions |
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| ocr_stream-2.6-py3-none-any.whl | Python 3 | none | any | Details for ocr_stream-2.6-py3-none-any.whl |
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