Download OCR library for Python

Browse our Products

Are you looking for an evaluation version of a product?

If so you can download any of the below versions for testing. The product will function as normal except for an evaluation limitation. At the time of purchase we provide a license file via email that will allow the product to work in its full capacity. If you would also like an evaluation license to test without any restrictions for 30 days, please follow the directions provided here.

Are you having troubles in downloading?

If you experience errors, when you try to download a file, make sure your network policies (enforced by your company or ISP) allow downloading ZIP and/or MSI files.

Support Forum

Download Aspose.OCR for Python via .NET for image recognition.

Add optical character recognition (OCR) capabilities to your data science, AI, and automation solutions written in Python 3.6 or later. Extract text from photos, scans, PDF documents and other graphical files without having to delve into complex mathematical operations, neural networks, and other technical details.

Aspose.OCR for Python via .NET can be download here and installed from local file system with the following pip command:

Release Notes Download

     pip install aspose-ocr-python-net

     pip install <downloaded-package-path>

Add optical character recognition (OCR) to your Python notebooks, analytical applications and cloud services with a few lines of code. Effortlessly transform images into machine-readable text and generate searchable PDFs from scanned pages on any platform.

Features you would like

Global applications - supporting over 130 languages, the library allows you to recognize texts in Latin, Cyrillic and Asian scrips.
Read everything - retrieve text from any file obtained through a scanner or camera, and process images directly from web links.
Reliable results - achieve the highest recognition accuracy for all images, including those that are out-of-focus, rotated, distorted, and noisy.
Batch processing - bulk-recognize all images from folders and archives; read multi-page PDF documents, TIFF images and DjVu files.
Layout detection - identify and categorize content blocks in images to ensure the correct order of extracted text, regardless of layout.
Suitable for any content - image preprocessing and customizable document structure detection enable text extraction from virtually any image, ranging from high-quality scans to street photos.
Optimized - the library balances recognition speed, quality, and resource utilization for each specific use case.
Easy to use - you only need a few lines of code to convert image to text, create a searchable PDF, save recognition results to document, and many more.

Supported file formats

.PDF - Portable Document Format
.JPG - JPEG, the most popular format for smartphone photos
.PNG - Portable Network Graphics, 24-bit with transparency
.TIFF - Tag Image File Format, commonly used for high quality scanning
.GIF - Graphics Interchange Format, limited to 256 colors
.BMP - Bitmap image file
.DJVU - DjVu, primarily designed for scanned documents, containing a combination of text, line drawings, indexed color images, and photographs

Multi-page PDF documents, TIFF and DjVu images are fully supported.

System requirements

Microsoft Windows 7 or later
Microsoft Windows Server 2008 R2 SP1 or later
macOS Mojave version 10.14 or later, x64
MacOS ARM (Apple Silicon) platform is fully supported
Any Linux x64, such as Ubuntu, OpenSUSE or CentOS

Despite of “via .NET” in the name, the library does not require .NET Runtime to be installed on the target host. All required dependencies are already built into the distributive package.

Code snippet

Aspose.OCR for Python via .NET is extremely easy to get started and very fast to master. The example below demonstrates how to build a bare minimum Python console application for extracting text from an image in just 7 lines of code.

Install the latest Aspose.OCR for Python via .NET package using pip.
Import aspose.ocr module.
Create an instance of Aspose.OCR API.
Add one or more images to the recognition batch.
Extract text from the image using Recognize method.

import aspose.ocr as ocr

# Instantiate Aspose.OCR API
api = AsposeOcr()

# Add image to the recognition batch
input = OcrInput(InputType.SINGLE_IMAGE)
input.add("source.png")

# Recognize the image
result = api.recognize(input)

# Print recognition result
print(result[0].recognition_text)
input("Press Enter to continue...")

Aspose Aspose.Total Aspose.OCR Python NET Library PDF OCR TIFF PNG BMP JPEG Image recognition MacOS Windows Linux PIP

Direct Download

Aspose.OCR for Python via .NET 24.3.0 Windows x64

The list of supported languages has been expanded to 135 languages.

Added: Downloads: