[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.Handwritten for Python via .NET** This extension to Aspose.OCR for Python via.NET adds a recognition model and associated methods designed for extracting handwritten text from images. It supports a number of European languages based on Extended Lain alphabet.
Handwritten recognition has various business, government and personal applications:
- Extract text from handwritten notes and letters.
- Convert handwritten historical records and documents into digital formats for archival purposes.
- Parse resumes and employee records.
- Analyze information from handwritten inventory lists to maintain accurate and up-to-date databases.
- Analyze handwritten customer feedback and reviews to gain insights into customer preferences.
- And many more.
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 Extended Latin letters and numbers. Check Aspose.OCR for .NET documentation (https://docs.aspose.com/ocr/python-net/) for more details.
## Get Started
Run ```pip install aspose-ocr-python-net``` and ```pip install aspose-ocr-models-handwritten-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 image with handwritten text using `recognize_handwritten_text` 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_handwritten_text(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)
Raw data
{
"_id": null,
"home_page": "https://products.aspose.com/ocr/",
"name": "aspose-ocr-models-handwritten-python-net",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.5,<3.12",
"maintainer_email": "",
"keywords": "OCR, Recognize text, diacritic, Python, Aspose",
"author": "Aspose",
"author_email": "",
"download_url": "",
"platform": "win32",
"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.Handwritten for Python via .NET** This extension to Aspose.OCR for Python via.NET adds a recognition model and associated methods designed for extracting handwritten text from images. It supports a number of European languages based on Extended Lain alphabet. \r\nHandwritten recognition has various business, government and personal applications:\r\n\r\n- Extract text from handwritten notes and letters.\r\n- Convert handwritten historical records and documents into digital formats for archival purposes.\r\n- Parse resumes and employee records.\r\n- Analyze information from handwritten inventory lists to maintain accurate and up-to-date databases.\r\n- Analyze handwritten customer feedback and reviews to gain insights into customer preferences.\r\n- And many more.\r\n\r\nImportant 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 Extended Latin letters and numbers. Check Aspose.OCR for .NET documentation (https://docs.aspose.com/ocr/python-net/) for more details.\r\n\r\n\r\n## Get Started\r\n\r\nRun ```pip install aspose-ocr-python-net``` and ```pip install aspose-ocr-models-handwritten-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 image with handwritten text using `recognize_handwritten_text` 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_handwritten_text(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",
"bugtrack_url": null,
"license": "https://company.aspose.com/legal/eula",
"summary": "Aspose.OCR for Python is a powerful yet easy-to-use and cost-effective API for extracting text from scanned images, photos, screenshots, PDF documents, and other files.",
"version": "23.12.1",
"project_urls": {
"Homepage": "https://products.aspose.com/ocr/"
},
"split_keywords": [
"ocr",
" recognize text",
" diacritic",
" python",
" aspose"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "92e224f7827ff401866163881792eef7c8854be5f045476a302691f1bc4410ab",
"md5": "efcb6b57250e3ce8ab450daf383149d5",
"sha256": "d8e057087813e77c62361d1bfa15ab308f1adbf6797af126190a7039d3b4bc5c"
},
"downloads": -1,
"filename": "aspose_ocr_models_handwritten_python_net-23.12.1-py3-none-win32.whl",
"has_sig": false,
"md5_digest": "efcb6b57250e3ce8ab450daf383149d5",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.5,<3.12",
"size": 55669786,
"upload_time": "2023-12-22T09:27:22",
"upload_time_iso_8601": "2023-12-22T09:27:22.008807Z",
"url": "https://files.pythonhosted.org/packages/92/e2/24f7827ff401866163881792eef7c8854be5f045476a302691f1bc4410ab/aspose_ocr_models_handwritten_python_net-23.12.1-py3-none-win32.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "925be363d5abb5f6e9be9367a90b5b7bada85ce7add5d99e9a13baea6e5d8150",
"md5": "7d32d229b63f095956846ffa308bb727",
"sha256": "c5af5d2ed93601fb7a90116bd77792e8dde8fe54e3bf7aafe72b80b6fc35a2ba"
},
"downloads": -1,
"filename": "aspose_ocr_models_handwritten_python_net-23.12.1-py3-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "7d32d229b63f095956846ffa308bb727",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.5,<3.12",
"size": 59263910,
"upload_time": "2023-12-22T09:27:31",
"upload_time_iso_8601": "2023-12-22T09:27:31.168874Z",
"url": "https://files.pythonhosted.org/packages/92/5b/e363d5abb5f6e9be9367a90b5b7bada85ce7add5d99e9a13baea6e5d8150/aspose_ocr_models_handwritten_python_net-23.12.1-py3-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-12-22 09:27:22",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "aspose-ocr-models-handwritten-python-net"
}
JSON