Libraries tagged by image to docx

Use the Analyze API to analyze any external asset and return details based on the type of analysis requested. Currently supports the following analysis options: * [AI Vision - Tagging](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#tagging_mode) * [AI Vision - Moderation](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#moderation_mode) * [AI Vision - General](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#general_mode) * [Google tagging](https://cloudinary.com/documentation/google_auto_tagging_addon) * [Captioning](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#ai_based_image_captioning) * [Cld Fashion](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Coco](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Lvis](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Unidet](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Human Anatomy](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Cld Text](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Shop Classifier](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) **Notes**: * The Analyze API is currently in development and is available as a Public Beta, which means we value your feedback, so please feel free to [share any thoughts with us](https://support.cloudinary.com/hc/en-us/requests/new). * The analysis options require an active subscription to the relevant add-on. Learn more about [registering for add-ons](https://cloudinary.com/documentation/cloudinary_add_ons#registering_for_add_ons). The API supports both Basic Authentication using your Cloudinary API Key and API Secret (which can be found on the Dashboard page of your [Cloudinary Console](https://console.cloudinary.com/pm)) or OAuth2 ([Contact support](https://support.cloudinary.com/hc/en-us/requests/new) for more information regarding OAuth).

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This is a Laravel Package to use Aspose cloud in Laravel 4 & 5 applications quickly and easily. Aspose for Cloud is a REST API to work with a number of file formats including word precessing documents, spreadsheets, presentations, PDFs and images.

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A Laravel package to automate Docker image creation for projects.

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A simple library to serve static image files & documents over HTTP/S via PHP. | © Nick Freear (IET-OU).

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PreviewMaker is a standalone application written in pure PHP to create preview (PDF and image) from different file formats ranging from Microsoft documents to video formats.

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PHP Library to use with livedebug docker image

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The package contains ExtJS for use in TYPO3 Flow packages. It is a slightly trimmed version of ExtJS (missing source, build, examples, documentation) with JavaScript, images, CSS and Flash moved to distinct folders. In addition it contains the ux files found in the examples folder of the ExtJS distribution. Using Ext Direct is supported by an Ext Direct request handler and a viewhelper to build a provider configuration from controller actions.

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The Wikitude Studio API is a RESTful API which is used to * organize and manipulate projects and its targets * create wtc/wto files which can be used to create trackers in the Wikitude SDK with the JavaScript API * generate/publish a cloud archive to the cloud recognition service (image targets only) Download API clients: * [`OpenAPI 3.0`](https://www.wikitude.com/external/doc/documentation/studio-api/clients/wikitude_studio_api_client-openapi.zip) * [`JavaScript`](https://www.wikitude.com/external/doc/documentation/studio-api/clients/wikitude_studio_api_client-javascript.zip) * [`Python`](https://www.wikitude.com/external/doc/documentation/studio-api/clients/wikitude_studio_api_client-python.zip) * [`PHP`](https://www.wikitude.com/external/doc/documentation/studio-api/clients/wikitude_studio_api_client-php.zip) * [`TypeScript (NodeJS)`](https://www.wikitude.com/external/doc/documentation/studio-api/clients/wikitude_studio_api_client-typescript-node.zip) * [`Java`](https://www.wikitude.com/external/doc/documentation/studio-api/clients/wikitude_studio_api_client-java.zip) * [`Ruby`](https://www.wikitude.com/external/doc/documentation/studio-api/clients/wikitude_studio_api_client-ruby.zip) * [`C# .NET Core`](https://www.wikitude.com/external/doc/documentation/studio-api/clients/wikitude_studio_api_client-csharp-netcore.zip) This technical reference formally explains various API endpoints. Visit the [`Studio API documentation`](https://www.wikitude.com/external/doc/documentation/studio/) for a more general description.

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Artificial Intelligence (AI) for image- and video-processing in real-time. This is an interactive documentation where you can quickly look up the endpoints and their schemas, while having the opportunity to try things out for yourself. In the list below, you can see the available endpoints of the API, which can be expanded by clicking on them. Each expanded endpoint lists the request parameters (if available) and the request body (if available). The request body can list some example bodies and the schema, explaining each model in detail. Additionally you'll find a 'Try it out' button that allows you to enter your custom parameters and custom body and execute that against the API. Be sure to enter your license key to authorize the requests before using this documentation interactively. The responses section in the expanded endpoint lists the possible responses with their corresponding status codes. If you've executed an API call it will also show you the response from the server. Underneath the endpoints you'll find the model schemas. These are the models used for the requests and responses. If you click on the right arrow, you can expand the model and get a description of the model and the model parameters. For nested models, you can keep clicking the right arrow for further details. Clicking the link below the title at the top of this page opens the [OpenAPI specification](https://swagger.io/specification/) (OAS3) in JSON format. The OAS3 Spec allows the generation of clients in many programming languages. There are several free client generators available that can be used to get started easily.

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A library to validate file types such as images and documents.

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Widget for plugin ManagerManager that allows you to add any number of fields values (TV) in one document (values are written in field as a JSON object). For example: a few images.

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This is a symfony2 bundle to use Aspose cloud service in symfony2 applications quickly and easily. Aspose for Cloud is a REST API to work with a number of file formats including word precessing documents, spreadsheets, presentations, PDFs and images.

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