Saravanan666/pypi-org huggingface dataset:
Package: aspose-diagram
Aspose.Diagram for Python via Java is a scalable and feature-rich API to
process visio files using Python. API offers Visio file creation,
manipulation, conversion, & rendering. Developers can format pages to
the most granular level, create & manipulate shape, render pages, shapes
to PDF & images, and much more - all without any dependency on Microsoft
Office or Visio application.Python Visio API FeaturesCreate visio files via API.Convert shapes to images or PDF.Manage comments & hyperlinks.Convert pages to PDF, XPS & SVG formats.Inter-convert files to popular visio formats.Read Visio FilesMicrosoft Visio:VSD,VSS,VST,VSX,VTX, VDX, VSDX, VSTX, VSSX, VSTM,
VSSMSave Visio Files AsMicrosoft Visio:VSX,VTX, VDX, VSDX, VSTX, VSSX, VSTM, VSSMFixed
Layout:PDF, XPSImages:JPEG, PNG, BMP, SVG, TIFF, GIF, EMFWeb:HTMLCreate Visio File from Scratch using Pythonimportjpypeimportasposediagramjpype.startJVM()fromasposediagram.apiimport*diagram=Diagram()diagram.save("output.vsdx",SaveFileFormat.VSDX)jpype.shutdownJVM()Convert Visio VSDX File to PDF using Pythonimportjpypeimportasposediagramjpype.startJVM()fromasposediagram.apiimport*diagram=Diagram("input.vsdx")diagram.save("output.pdf",SaveFileFormat.PDF)jpype.shutdownJVM()Product Page|Documentation|Blog|API
Reference|Code
Samples|Free Support|Temporary
License|EULA
Package: aspose-diagram-python
Product Page|Docs|Demos|Blog|Code Samples|Free Support|Temporary License|EULATry ourfree online appsdemonstrating some of the most popular Aspose.diagram functionality.Aspose.Diagram for Python via .Net is a scalable and feature-rich API to process visio files using Python. API offers Visio file creation, manipulation, conversion, rendering. Developers can format pages to the most granular level, create and manipulate shape, render pages, shapes to PDF and images, and much more - all without any dependency on Microsoft Office or Visio application.Diagram API FeaturesAspose.Diagram offers a wide arrange of features for creating, reading, manipulating and saving visio files:Create visio files via API.Convert shapes to images or PDF.Manage comments & hyperlinks.Convert pages to PDF, XPS & SVG formats.Inter-convert files to popular visio formats.Performance and ScalabilityAspose.Diagram for Python via .NET is designed to perform equally well on the server or client-side. Aspose.Diagram for Python via .NET is a single .NET library that can be deployed with any .NET application by simply copying it. You do not have to worry about other services or modules.Supported Document FormatsAspose.Diagram for Python supportsa wide range of formats for loading and saving documents<https://docs.aspose.com/diagram/python-net/supported-file-formats/>, some of them are listed below:Microsoft Visio: VSD, VSX,VTX, VDX, VSDX, VSTX, VSSX, VSTM, VSSMFixed Layout: PDF, XPSImages: JPEG, PNG, BMP, SVG, TIFF, GIF, EMFWeb: HTMLDetect Diagram Format Programming Samplefromaspose.diagramimport*# For complete examples and data files, please go to https://github.com/aspose-diagram/Aspose.Diagram-for-.NET# Detect the format of a diagram filefileFormatInfo=FileFormatUtil.detectFileFormat(test.vsdx")# Display the file formatprint("File Format: "+str(fileFormatInfo))Creating a diagram Document: Programming Samplesfromaspose.diagramimport*# For complete examples and data files, please go to https://github.com/aspose-diagram/Aspose.Diagram-for-.NET# The path to the documents directory.#Initialize a Diagram classdiagram=Diagram()# Save diagram in the VSDX formatdiagram.save("CreateNewVisio_out.vsdx",SaveFileFormat.VSDX)Create a PDF with a Diagramfromaspose.diagramimport*# Load an exiting Visio diagramvsdDiagram=Diagram("Drawing1.vsd")# Save as PDFvsdDiagram.save("SaveDiagramToPDFwithAspose_out.pdf",SaveFileFormat.PDF)Product Page|Docs|Demos|Blog|Code Samples|Free Support|Temporary License|EULA
Package: aspose-email-cloud
Manage Emails in Cloud via Python REST SDKAspose.Email Cloud SDK for Pythonis a REST API SDK for creating email applications that work with standard email file formats such as Outlook MSG, EML, iCalendar files and VCard.This SDK allows you to work with Aspose.Email Cloud REST APIs in your Python applications quickly and easily, with zero initial cost.Aspose.Email Cloud homeSwagger UICloud Email Processing FeaturesAspose.Email Cloud is a REST API for creating email applications that work with standard email file formats. This SDK:Lets developers manipulate different emails' formats such as Outlook MSG, EML, VCard, and iCalendar files.Supports AI functions:The Business card recognition.The Name API for parsing and handling personal names.Has a built-in email client. This client provides:Unified REST API for different email protocols: IMAP, POP3, SMTP, EWS, WebDav.Virtual multi-account.Message threads (POP3 accounts are also supported).Email configuration discovery.Disposable email address detection.Improvements in version 21.9Aspose.Email Cloud 21.9.0 comes with improvements described below:EmailCloud.Email.Convertmethod documentation fixed.Some documentation improvements.SDK dependencies updated.SeeRelease notes.How to use the SDK?The complete source code is available in theGIT repository.UseSDK tutorialsandSDK reference documentation.PrerequisitesTo use this SDK, you need a Client id and a Client secret; they can be looked up atAspose Cloud Dashboard(it requires free registration in Aspose Cloud for this).InstallationYou can use it directly in your project via the source code or get aPYPI Package:pip install aspose-email-cloudSee more details about SDK installation in this tutorial:SDK setup.Usage examplesTo use the API, you should create an EmailCloud object:fromAsposeEmailCloudSdkimportapi#EmailApi class is herefromAsposeEmailCloudSdkimportmodels#REST API models are here#...client_secret='Your Client secret'client_id='Your Client id'email_cloud=api.EmailCloud(client_secret,client_id)Business cards recognition APIUseAiBcrApi.parsemethod to parse business card image to VCard DTO:path='path/to/image/to/parse.png'result=email_cloud.ai.bcr.parse(models.AiBcrParseRequest(file=image_file,is_single=True))contact=result.value[0]assert'Parsed Display Name'incontact.display_nameAspose.Email Cloud SDKs in Popular Languages.NETJavaPHPPythonRubyNode.jsGitHubGitHubGitHubGitHubGitHubGitHubNuGetMavenComposerPIPGEMNPMProduct Page|Documentation|Demo|Swagger UI|Blog|Free support|Free trial|SDK reference documentation
Package: aspose-finance
Product Page|Docs|Demos|Blog|Code Samples|Free Support|Temporary License|EULATry ourfree online appsdemonstrating some of the most popular Aspose.Finance functionality.Aspose.Finance for Python via .NET is a a scalable and feature-rich API to process finance-related formats, such as XBRL iXBRL and OFX, using Python. API offers XBRL, iXBRL, OFX file creation, manipulation and conversion. It allows you to open files and manipulate XBRL/iXBRL, OFX, and then export to XBRL,OFX file formats.Finance API FeaturesAspose.Finance offers a wide arrange of features for creating, reading, manipulating and saving xbrl,ixbrl,ofx files:Create XBRL instance from scratchCreate iXBRL(inline XBRL) from scratchRead XBRL and iXBRL FormatsValidate XBRL and iXBRLConvert XBRL to iXBRLConvert XBRL to XLSXConvert iXBRL to XBRLCreate OFX Request FileCreate OFX Response FileConvert OFX Request File from 1.03 to 2.2 formatConvert OFX Response File from 1.03 to 2.2 formatPerformance and ScalabilityAspose.Finance for Python via .NET is designed to perform equally well on the server or client-side.Supported Document FormatsAspose.Finance for Python supportsa wide range of formats for loading and saving documents, some of them are listed below:XBRL: XBRL iXBRL, XLSXOFX: OFX, OFX Version 1Create a XBRL Document: Programming Samplesfromaspose.finance.xbrlimport*document=XbrlDocument()xbrlInstances=document.xbrl_instancesxbrlInstance=xbrlInstances[xbrlInstances.add()]document.save(os.path.join(outputDir,"CreateXbrlFile.xbrl"))Convert a XBRL Document to XLSX file: Programming Samplesfromaspose.finance.xbrlimport*document=XbrlDocument(os.path.join(sourceDir,"IdScopeContextPeriodStartAfterEnd.xml"))# Set save optionssaveOptions=SaveOptions()saveOptions.save_format=SaveFormat.XLSX# Save file to XLSX formatdocument.save(os.path.join(outputDir,"ConvertXbrlToXlsx_out.xlsx"),saveOptions)Convert OFX Request Version 1 File To OFX Request Verver 2 Filefromaspose.finance.ofximport*document=OfxRequestDocument(os.path.join(sourceDir,"bankTransactionReq.sgml"))document.save(os.path.join(outputDir,"ConvertOfxRequestFileToOfxRequestV2.xml"),OfxVersionEnum.V2X)Product Page|Docs|Demos|Blog|Code Samples|Free Support|Temporary License|EULA
Package: aspose-ocr-models-handwritten-python-net
Product Page|Documentation|Demos|Blog|API Reference|Search|Free Support|Temporary LicenseTry ourFree Online Appsdemonstrating some of the most popular Aspose.OCR functionality.Aspose.OCR.Models.Handwritten for Python via .NETThis 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 StartedRunpip install aspose-ocr-python-netandpip install aspose-ocr-models-handwritten-python-netto fetch the package. If you already haveAspose.OCR for Python via .NETand want to get the latest version, please runpip install --upgrade aspose-ocr-python-net.To learn more aboutAspose.OCR for Python via .NETand explore the basic requirements and features of the library, check out the followingAspose.OCR for Python via .NET Documentationpages for other use cases.Code snippetAspose.OCR for Python via .NETis 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.Install  the latest version of theaspose-ocrpackage using pip.Importaspose.ocrmodule into the application.Create an instance ofAsposeOcrclass.Create an instance ofOcrInputclass and add one or more images to it.Extract text from the image with handwritten text usingrecognize_handwritten_textmethod.Output the extracted text to the console.Full code:importaspose.ocrasocr# Initialize OCR engineapi=AsposeOcr()# Initialize OCR inputinput=OcrInput(InputType.SINGLE_IMAGE)input.add("1.png")input.add("2.jpg")# Recognize imagesresult=api.recognize_handwritten_text(input)# Print resultprint(result[0].recognition_text)print(result[1].recognition_text)Product Page|Documentation|Demos|Blog|API Reference|Search|Free Support|Temporary License
Package: aspose-ocr-models-textinwild-python-net
Product Page|Documentation|Demos|Blog|API Reference|Search|Free Support|Temporary LicenseTry ourFree Online Appsdemonstrating some of the most popular Aspose.OCR functionality.Aspose.OCR.Models.TextInWild for Python via .NETThis 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 theLanding PagesofAspose.OCR for Python via .NETfor 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 StartedRunpip install aspose-ocr-python-netandpip install aspose-ocr-models-textinwild-python-netto fetch the package. If you already haveAspose.OCR for Python via .NETand want to get the latest version, please runpip install --upgrade aspose-ocr-python-net.To learn more aboutAspose.OCR for Python via .NETand explore the basic requirements and features of the library, check out the followingAspose.OCR for Python via .NET Documentationpages for other use cases.Code snippetAspose.OCR for Python via .NETis 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.Install  the latest version of theaspose-ocrpackage using pip.Importaspose.ocrmodule into the application.Create an instance ofAsposeOcrclass.Create an instance ofOcrInputclass and add one or more images to it.Extract text from the street photo usingrecognize_street_photomethod.Output the extracted text to the console.Full code:importaspose.ocrasocr# Initialize OCR engineapi=AsposeOcr()# Initialize OCR inputinput=OcrInput(InputType.SINGLE_IMAGE)input.add("1.png")input.add("2.jpg")# Recognize imagesresult=api.recognize_street_photo(input)# Print resultprint(result[0].recognition_text)print(result[1].recognition_text)Product Page|Documentation|Demos|Blog|API Reference|Search|Free Support|Temporary License
Package: aspose-ocr-python-java
Aspose.OCR for Python via JavaProduct Page|Documentation|Demos|Blog|API Reference|Search|Free Support|Temporary LicenseTry ourFree Online Appsdemonstrating some of the most popular Aspose.OCR functionality.Aspose.OCR for Python via JAVAis a powerful, while easy-to-use optical character recognition (OCR) engine for your Python applications and notebooks. In less than10lines of code, you can recognize text in28languages based on Latin, Cyrillic, and Asian scripts, returning results in the most popular document and data interchange formats.
There is no need to learn complex mathematical models, build machine learning algorithms and train neural networks — our simple and robust API will do everything for you.The library works equally well with all sources, from a high-quality scan to a quick photo on a smartphone. Whether the image is rotated, distorted or noisy — automatic pre- and post-processing filters provide the highest recognition accuracy in the shortest time.Check out theLanding PagesofAspose.OCR for Python via JAVAfor a more detailed description of the features and possibilities of the library.Key featuresRecognizes text in 28 languages based on Latin, Cyrillic and Asian scrips, including texts in mixed languages.Accurately extracts texts regardless of the original image quality - work with rotated, distorted and noisy pictures and photos.Supports most file formats you can get from a scanner or camera, as well as web links.Automatically corrects spelling errors to further improve the results without manual intervention.Reads multi-page documents, folders, and even ZIP archives in bulk and returns results in the most popular document and data exchange formats.Get StartedRunpip install aspose-ocr-python-javato fetch the package. If you already haveAspose.OCR for Python via JAVAand want to get the latest version, please runpip install --upgrade aspose-ocr-python-java.To learn more aboutAspose.OCR for Python via JAVAand explore the basic requirements and features of the library, check out the followingAspose.OCR for Python via JAVA Documentationpages for other use cases.Code snippetAspose.OCR for Python via JAVAis 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.Install  the latest version of theaspose-ocrpackage using pip and install Jpype1.Importasposemodule into the application.Create an instance ofAsposeOcrclass.Create an instance ofOcrInputclass and add one or more images to it.Extract text from the image usingrecognizemethod.Output the extracted text to the console.Full code:importasposeasocr# Initialize OCR engineapi=AsposeOcr()# Initialize OCR inputinput=OcrInput(InputType.SINGLE_IMAGE)input.add("1.png")input.add("2.jpg")# Recognize imagessettings=ocr.RecognitionSettings()settings.set_detect_areas_mode(ocr.DetectAreasMode.PHOTO)result=api.recognize(input,settings)# Print resultprint(result[0].recognition_text)print(result[1].recognition_text)Product Page|Documentation|Demos|Blog|API Reference|Search|Free Support|Temporary License
Package: aspose-ocr-python-net
Product Page|Documentation|Demos|Blog|API Reference|Search|Free Support|Temporary LicenseTry ourFree Online Appsdemonstrating some of the most popular Aspose.OCR functionality.Aspose.OCR for Python via .NETis a powerful, while easy-to-use optical character recognition (OCR) engine for your Python applications and notebooks. In less than10lines of code, you can recognize text in28languages based on Latin, Cyrillic, and Asian scripts, returning results in the most popular document and data interchange formats.
There is no need to learn complex mathematical models, build machine learning algorithms and train neural networks — our simple and robust API will do everything for you.The library works equally well with all sources, from a high-quality scan to a quick photo on a smartphone. Whether the image is rotated, distorted or noisy — automatic pre- and post-processing filters provide the highest recognition accuracy in the shortest time.Check out theLanding PagesofAspose.OCR for Python via .NETfor a more detailed description of the features and possibilities of the library.Key featuresRecognizes text in 27 languages based on Latin, Cyrillic and Asian scrips, including texts in mixed languages.Accurately extracts texts regardless of the original image quality - work with rotated, distorted and noisy pictures and photos.Supports most file formats you can get from a scanner or camera, as well as web links.Automatically corrects spelling errors to further improve the results without manual intervention.Reads multi-page documents, folders, and even ZIP archives in bulk and returns results in the most popular document and data exchange formats.Get StartedRunpip install aspose-ocr-python-netto fetch the package. If you already haveAspose.OCR for Python via .NETand want to get the latest version, please runpip install --upgrade aspose-ocr-python-net.To learn more aboutAspose.OCR for Python via .NETand explore the basic requirements and features of the library, check out the followingAspose.OCR for Python via .NET Documentationpages for other use cases.Code snippetAspose.OCR for Python via .NETis 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.Install  the latest version of theaspose-ocrpackage using pip.Importaspose.ocrmodule into the application.Create an instance ofAsposeOcrclass.Create an instance ofOcrInputclass and add one or more images to it.Extract text from the image usingRecognizemethod.Output the extracted text to the console.Full code:importaspose.ocrasocr# Initialize OCR engineapi=AsposeOcr()# Initialize OCR inputinput=OcrInput(InputType.SINGLE_IMAGE)input.add("1.png")input.add("2.jpg")# Recognize imagesresult=api.recognize(input)# Print resultprint(result[0].recognition_text)print(result[1].recognition_text)Product Page|Documentation|Demos|Blog|API Reference|Search|Free Support|Temporary License
Package: aspose-omr-cloud
Aspose.OMR for Cloud is a REST API that helps you to perform optical mark recognition in the cloud. We provide a series of SDKs. Along with that, you can get binaries to start working immediately and recognize various OMR forms.Developers can embed optical recognition in any type of application to extract data from images of tests, exams, questionnaires, surveys, etc. In the repository you can find examples on how to start using Aspose.OMR API in your project.
Package: asposepdfcloud
Aspose.PDF Cloud is a REST API for creating and editing PDF files.Most popular features proposed by Aspose.PDF Cloud: PDF to Word, Convert PDF to Image, Merge PDF, Split PDF, Add Images to PDF, Rotate PDF.
It can also be used to convert PDF files to different formats like DOC, HTML, XPS, TIFF and many more.
Aspose.PDF Cloud gives you control: create PDFs from scratch or from HTML, XML, template, database, XPS or an image.
Render PDFs to image formats such as JPEG, PNG, GIF, BMP, TIFF and many others.
Aspose.PDF Cloud helps you manipulate elements of a PDF file like text, annotations, watermarks, signatures, bookmarks, stamps and so on.
Its REST API also allows you to manage PDF pages by using features like merging, splitting, and inserting.
Add images to a PDF file or convert PDF pages to images.
Package: aspose-pdf-for-python-via-java
PDF Generation & Recognition via PythonAspose.PDF for Python via Java is a robust and reliable pdf generation and recognition component, written in Python and Java. It allows developers to quickly and easily add pdf creation and scanning functionality to their Python applications.General PDF FeaturesAbility to read & export pdfs in multiple image formats including BMP, GIF, JPEG, TIFF & PNGSupports most established PDF standards and PDF specifications.Conversion FeaturesConvert an existing XML file (.XML) or XmlDocument to a new PDF document or a PDF file stream.Convert conventional Image formats into PDF file.Convert PCL files into PDF file.Convert PDF in any PDF version including /A/B/X/U and PDF 2.0 standards.Read PDFFixed Layout: PDF, XPSMicrosoft Office:  XLS, XLSX, CGMBooks: EPUBWeb: HTML Other: TEX, XML, SVG, MD, MHTOthers: PS, PCL, CGM, XSLFO/XMLSave PDF Documents AsMicrosoft Office: DOC, DOCX, XLS, XLSX, PPTXImages: JPEG, PNG, BMP, TIFF, GIFOther: MobiXML, XML, TEXTWeb: HTML Other: TEX, XML, SVG, MD, MHTBooks: EPUBFacade functionsConcatenate PDF DocumentsForm functionsexport/import fdfexport/import xfdfexport/import xmlexport/set XfaDatafill fieldsflatten fieldsSupport for determining valid radio button valuesget field names, flags, types, valuesrename fieldsProduct|Documentation|Blog|API Reference|Free Support|Temporary License