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metadata curl

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  1. Get Document Information | Documentation

    This REST API allows to obtain basic information about the document and it’s properties. It returns InfoResult data structure, which contains the list of properties: Document file format File extension File size Pages count Resource The following GroupDocs.Viewer Cloud REST API resource has been used to get document information. Curl example Linux/MacOS/Bash # First get JSON Web Token # Please get your Client Id and Client Secret from https://dashboard.groupdocs.cloud/applications. # Place Client Id in $CLIENT_ID and Client Secret in $CLIENT_SECRET environment variables....Metadata Product Solution GroupDocs...resource has been used to get . cURL example Linux/MacOS/Bash # First...

    docs.groupdocs.cloud/comparison/get-document-in...
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  2. Verify Text Signature | Documentation

    Note Note: The features listed on this page are supported only in GroupDocs.Signature Cloud V1 GroupDocs.Signature Cloud REST API supports to verify a signed document. It provides methods to verify Text Signature in Documents Pages with different options for page number, text and search criteria by using Verification Options Objects data in request body. Verify Text Signature in a Document You can verify Text Signature in a Document using this API....Metadata Product Solution GroupDocs...used example. cURL example Linux/MacOS/Bash curl -v "https://api...

    docs.groupdocs.cloud/signature/verify-text-sign...
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  3. Parse by Template And AI | Documentation

    This REST API allows us to extract document’s fields defined in a template object passed as a method parameter by using LLM. The following example demonstrates how to extract data from a source document by a user-defined template and modern well updated LLM. Resource The following GroupDocs.Parser Cloud REST API resource has been used in the AI Parse example. Curl example Linux/MacOS/Bash # First get JSON Web Token # Please get your Client Id and Client Secret from https://dashboard....Metadata Product Solution GroupDocs...has been used in the example. cURL example Linux/MacOS/Bash # First...

    docs.groupdocs.cloud/parser/parse-by-template-a...
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  4. Extract Pages | Documentation

    Extract Pages by Exact Page Numbers This REST API allows extracting pages from source documents by providing exact page numbers via Pages collection. The result is a new document that contains only specified pages from a source document. For protected documents, it is also required to provide a password. The following example demonstrates how to extract pages 2,4,7 from a source document into a new document. Resource URI HTTP POST ~/Pages/Extract Swagger UI lets you call this REST API directly from the browser....Metadata Product Solution GroupDocs...API directly from the browser. cURL example Linux/MacOS/Bash # First...

    docs.groupdocs.cloud/merger/extract-pages/
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  5. Tags

    Document Automation APIs along with open-source SDKs to enhance Java, Python, Node.js, C# .NET, Ruby, C++, and PHP applications to view, edit, annotate, convert, compare, e-sign, parse, split, merge, extract, redact, watermark, Metadata, paraphrase, classify, repair, and translate documents of almost all the popular file formats....Watermark using Java 1 add metadata 2 Add Metadata to Images 1 Add Multiple...Change E-Book Metadata 1 Change EPUB Metadata in Java 1 change...

    blog.groupdocs.cloud/tags/
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  6. Tags on Document Processing REST APIs | GroupDo...

    Tags on Document Processing REST APIs | GroupDocs Cloud Recent content in Tags on Document Processing REST APIs | GroupDocs Cloud edit TXT files using Java modify TXT files in Java classify PDF fil......NET remove Metadata from ZIP files in Java sTEP...to remove ZIP Metadata in Java extract Metadata from XLS extract...

    blog.groupdocs.cloud/ja/tags/index.xml
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  7. Parse by Template Stored in User Storage | Docu...

    This REST API allows extracting document’s fields and tables defined in a template file saved in user storage and specified by template path. The following example demonstrates how to extract data from a source document by a saved template. Here you can see how to parse text fields by regular expressions and a table inside the document. Resource The following GroupDocs.Parser Cloud REST API resource has been used in the Parse by Template Store in User Storage example....Metadata Product Solution GroupDocs...has been used in the example. cURL example Linux/MacOS/Bash # First...

    docs.groupdocs.cloud/parser/parse-by-template-s...
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  8. 首次公开发布下一代 GroupDocs.Comparison Cloud API

    GroupDocs.Comparison Cloud 是一个 REST API，用于通过云中的操作和更改来比较文档。...'action':'Reject'}]}" 卷曲示例 # curl -v "https://api.groupdocs.cloud/v1...MarkDeletedInsertedC = false, MetaData = new ComparisonMetadataVa()...

    blog.groupdocs.cloud/zh/comparison/announcing-f...
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  9. Add Text Watermarks | Documentation

    This REST API allows adding text watermarks to the document. With this API you can add watermarks with following features: For a text watermark, you can use various text options like Font, Size, Style, Foreground and Background colors, etc.; There are many watermark positioning and transforming properties; There are format-specific options. These options allow to leverage specific format features and often allow to make watermarks stronger; For protected documents, it is required to provide the password....Metadata Product Solution GroupDocs...and color, position, and size. cURL example Linux/MacOS/Bash # Get...

    docs.groupdocs.cloud/watermark/add-text-waterma...
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  10. Remove Watermarks | Documentation

    This REST API allows removing watermarks from the document. The operation performs a search for possible watermarks and then removes them. The API supports a rich set of search criteria that allows finding images and texts that may be possible watermarks. There are two popular scenarios to use the Remove operation: Remove particular watermarks found by search criteria. With this scenario Two operations are used: Search and Remove: You define the search criteria set; You first use Search operation with the designed criteria and get the response with search results; You can analyze the response and choose those watermarks that should be deleted; You then call Remove operation with the same set of search criteria; You also provide RemoveIds array with IDs of found watermarks; Then watermarks with passed IDs will be removed Remove all found watermarks....Metadata Product Solution GroupDocs...API directly from the browser. cURL example Linux/MacOS/Bash # First...

    docs.groupdocs.cloud/watermark/remove-watermarks/
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