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Spire.OCR for Python: High-Accuracy OCR API for Efficient Text Extraction from Images

Spire.OCR for Python

Product Page 丨 Documentation 丨 Examples 丨 Forum 丨 Temporary License 丨 Customized Demo

Spire.OCR for Python is a robust and professional Optical Character Recognition (OCR) library designed to enable developers to extract text from images in various formats, including JPG, PNG, GIF, BMP, and TIFF. This library provides an intuitive and straightforward solution for integrating OCR capabilities into Python applications, allowing users to easily extract text from popular image formats.

Key Features

  • Text Extraction: Extract text from images with support for commonly used fonts such as Arial, Times New Roman, Courier New, Verdana, Tahoma, and Calibri, in regular, bold, and italic styles.
  • Multilingual Support: Recognize text in multiple languages, including English, Chinese, French, German, Japanese, and Korean, making it suitable for global applications.
  • Image Format Compatibility: Supports extraction of text from a wide range of image file formats like JPG, PNG, BMP, GIF, and TIFF.
  • Cross-Platform: Compatible with OCR feature on Windows, Linux and Mac operating systems.
  • Easy Integration: Seamlessly integrate Spire.OCR for Python into your projects with a simple API that requires minimal coding effort.

Supported Languages:

  • English
  • Chinese
  • Japanese
  • Korean
  • German
  • French

Supported Fonts:

Commonly used fonts are supported, such as:

  • Arial
  • Times New Roman
  • Courier New
  • Verdana
  • Tahoma
  • Calibri

Supported Font Styles:

  • Regular
  • Bold
  • Italic

Supported Image File Formats:

  • JPG
  • PNG
  • BMP
  • GIF
  • TIFF

Installation

To install Spire.OCR for Python, you can use pip, the Python package manager. Simply run the following command:

pip install Spire.OCR

Or manually download Spire.OCR for Python and import it into your project.

Examples

Extract Text from an Image File

from spire.ocr import *

scanner = OcrScanner()

configureOptions = ConfigureOptions()
configureOptions.ModelPath = r"D:\OCR\win-x64"
configureOptions.Language = "English"
scanner.ConfigureDependencies(configureOptions)

scanner.Scan(r"Data\Sample.png")

#output the text and the blocks
text = scanner.Text.ToString() + "\n"
for block in scanner.Text.Blocks:
    rectangle = block.Box
    postions = f"{block.Text} -> x : {rectangle.X} , y : {rectangle.Y} , w : {rectangle.Width} , h : {rectangle.Height}"
    text += postions + "\n"

with open('output.txt','a',encoding='utf-8') as file:
    file.write(text+ "\n")

Extract Text from an Image Stream

from spire.ocr import *

scanner = OcrScanner()
configureOptions = ConfigureOptions()

configureOptions.ModelPath = r"D:\OCR\win-x64"
configureOptions.Language = "Japan"
scanner.ConfigureDependencies(configureOptions)

image_stream = Stream(r"Data\JapaneseSample.png")
image_format = OCRImageFormat.Png

scanner.Scan(image_stream,image_format)
text = scanner.Text.ToString()

with open('output.txt','a',encoding='utf-8') as file:
    file.write(text)

Product Page 丨 Documentation 丨 Examples 丨 Forum 丨 Temporary License 丨 Customized Demo

Metadata

Release files for spire-ocr 2.1.0

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Built distributions (wheels)

Table of built distributions (wheels) for spire-ocr 2.1.0
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spire_ocr-2.1.0-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details
spire_ocr-2.1.0-py3-none-manylinux_2_31_x86_64.whl Python 3 none Linux glibc 2.31+ x86-64 Details
spire_ocr-2.1.0-py3-none-manylinux2014_aarch64.whl Python 3 none Linux glibc 2.17+ ARM64 Details
spire_ocr-2.1.0-py3-none-macosx_10_7_universal.whl Python 3 none macOS 10.7+ universal (x86-64, i386, PPC64, PPC) Details

Total release size: 54.4 MB

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