[Product Page](https://products.aspose.com/ocr/python-net/) | [Documentation](https://docs.aspose.com/ocr/python-net/) | [Demos](https://products.aspose.app/ocr/family) | [Blog](https://blog.aspose.com/categories/aspose.ocr-product-family/) | [API Reference](https://reference.aspose.com/ocr/python-net/) | [Search](https://search.aspose.com/) | [Free Support](https://forum.aspose.com/c/ocr/16) | [Temporary License](https://purchase.aspose.com/temporary-license)
Try our [Free Online Apps](https://products.aspose.app/ocr/family) demonstrating some of the most popular Aspose.OCR functionality.
**Aspose.OCR.Models.TextInWild for Python via .NET** This extension to Aspose.OCR for Python via .NET adds a specialized recognition model and methods to accurately extract text from street photos, traffic camera images, ID cards, driver licenses, and other images with sparse text and noisy/colored backgrounds. This is useful for improving OCR accuracy in specific business cases:
- Segment and identify road signs and signboards within street images.
- Locate price tags and interpret the extracted text as prices.
- Find and aggregate regions of interest on food labels, such as nutritional information or ingredient lists.
- Identify and analyze car license plates.
- Extract text from menus and catalogs.
Check out the [Landing Pages](https://products.aspose.com/ocr/python-net/) of **Aspose.OCR for Python via .NET** for a more detailed description of the features and possibilities of the library.
##Important considerations:
- This package requires Aspose.OCR for Python via.NET to function properly. It cannot be used separately from the core API.
- The model only works with Latin letters and numbers.
## Get Started
Run ```pip install aspose-ocr-python-net``` and ```pip install aspose-ocr-models-textinwild-python-net``` to fetch the package. If you already have **Aspose.OCR for Python via .NET** and want to get the latest version, please run ```pip install --upgrade aspose-ocr-python-net```.
To learn more about **Aspose.OCR for Python via .NET** and explore the basic requirements and features of the library, check out the following [Aspose.OCR for Python via .NET Documentation](https://docs.aspose.com/ocr/python-net/) pages for other use cases.
### Code snippet
**Aspose.OCR for Python via .NET** is extremely easy to use, regardless of the application's scale and complexity. Let's try to create a very simple application that can extract text from images and output it to the console.
1. Install the latest version of the *aspose-ocr* package using pip.
2. Import `aspose.ocr` module into the application.
3. Create an instance of `AsposeOcr` class.
4. Create an instance of `OcrInput` class and add one or more images to it.
5. Extract text from the street photo using `recognize_street_photo` method.
6. Output the extracted text to the console.
Full code:
```python
import aspose.ocr as ocr
# Initialize OCR engine
api = AsposeOcr()
# Initialize OCR input
input = OcrInput(InputType.SINGLE_IMAGE)
input.add("1.png")
input.add("2.jpg")
# Recognize images
result = api.recognize_street_photo(input)
# Print result
print(result[0].recognition_text)
print(result[1].recognition_text)
```
[Product Page](https://products.aspose.com/ocr/python-net/) | [Documentation](https://docs.aspose.com/ocr/python-net/) | [Demos](https://products.aspose.app/ocr/family) | [Blog](https://blog.aspose.com/categories/aspose.ocr-product-family/) | [API Reference](https://reference.aspose.com/ocr/python-net/) | [Search](https://search.aspose.com/) | [Free Support](https://forum.aspose.com/c/ocr/16) | [Temporary License](https://purchase.aspose.com/temporary-license)
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"description": "[Product Page](https://products.aspose.com/ocr/python-net/) | [Documentation](https://docs.aspose.com/ocr/python-net/) | [Demos](https://products.aspose.app/ocr/family) | [Blog](https://blog.aspose.com/categories/aspose.ocr-product-family/) | [API Reference](https://reference.aspose.com/ocr/python-net/) | [Search](https://search.aspose.com/) | [Free Support](https://forum.aspose.com/c/ocr/16) | [Temporary License](https://purchase.aspose.com/temporary-license)\r\n\r\nTry our [Free Online Apps](https://products.aspose.app/ocr/family) demonstrating some of the most popular Aspose.OCR functionality.\r\n\r\n**Aspose.OCR.Models.TextInWild for Python via .NET** This extension to Aspose.OCR for Python via .NET adds a specialized recognition model and methods to accurately extract text from street photos, traffic camera images, ID cards, driver licenses, and other images with sparse text and noisy/colored backgrounds. This is useful for improving OCR accuracy in specific business cases:\r\n\r\n- Segment and identify road signs and signboards within street images.\r\n- Locate price tags and interpret the extracted text as prices.\r\n- Find and aggregate regions of interest on food labels, such as nutritional information or ingredient lists.\r\n- Identify and analyze car license plates.\r\n- Extract text from menus and catalogs.\r\n\r\n\r\nCheck out the [Landing Pages](https://products.aspose.com/ocr/python-net/) of **Aspose.OCR for Python via .NET** for a more detailed description of the features and possibilities of the library.\r\n\r\n##Important considerations:\r\n\r\n- This package requires Aspose.OCR for Python via.NET to function properly. It cannot be used separately from the core API.\r\n- The model only works with Latin letters and numbers.\r\n\r\n\r\n## Get Started\r\n\r\nRun ```pip install aspose-ocr-python-net``` and ```pip install aspose-ocr-models-textinwild-python-net``` to fetch the package. If you already have **Aspose.OCR for Python via .NET** and want to get the latest version, please run ```pip install --upgrade aspose-ocr-python-net```.\r\n\r\nTo learn more about **Aspose.OCR for Python via .NET** and explore the basic requirements and features of the library, check out the following [Aspose.OCR for Python via .NET Documentation](https://docs.aspose.com/ocr/python-net/) pages for other use cases.\r\n\r\n### Code snippet\r\n\r\n**Aspose.OCR for Python via .NET** is extremely easy to use, regardless of the application's scale and complexity. Let's try to create a very simple application that can extract text from images and output it to the console.\r\n\r\n1. Install the latest version of the *aspose-ocr* package using pip.\r\n2. Import `aspose.ocr` module into the application.\r\n3. Create an instance of `AsposeOcr` class.\r\n4. Create an instance of `OcrInput` class and add one or more images to it.\r\n5. Extract text from the street photo using `recognize_street_photo` method.\r\n6. Output the extracted text to the console.\r\n\r\nFull code:\r\n\r\n```python\r\nimport aspose.ocr as ocr\r\n\r\n# Initialize OCR engine\r\napi = AsposeOcr()\r\n\r\n# Initialize OCR input\r\ninput = OcrInput(InputType.SINGLE_IMAGE)\r\ninput.add(\"1.png\")\r\ninput.add(\"2.jpg\")\r\n\r\n# Recognize images\r\nresult = api.recognize_street_photo(input)\r\n\r\n# Print result\r\nprint(result[0].recognition_text)\r\nprint(result[1].recognition_text)\r\n```\r\n\r\n[Product Page](https://products.aspose.com/ocr/python-net/) | [Documentation](https://docs.aspose.com/ocr/python-net/) | [Demos](https://products.aspose.app/ocr/family) | [Blog](https://blog.aspose.com/categories/aspose.ocr-product-family/) | [API Reference](https://reference.aspose.com/ocr/python-net/) | [Search](https://search.aspose.com/) | [Free Support](https://forum.aspose.com/c/ocr/16) | [Temporary License](https://purchase.aspose.com/temporary-license)\r\n",
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