> For the complete documentation index, see [llms.txt](https://docs.v-nova.com/technologies/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.v-nova.com/technologies/v-nova.platform/decoding.md). # Decoding Playing back content that you have encoded on the V-Nova platform is very straightforward as the platform is fully integrated with the V-Nova demo applications which are available from all of the major app stores. Simply sign into the V-Nova demo application using your V-Nova Platform credentials and all of your content will be listed for playback directly within the app. Search "V-Nova" on the relevant store or follow the links below: ![](https://content.gitbook.com/content/xdWpFEYGHZ7YDDpkZo7J/blobs/28T0r1QGufbU3U7N2MRf/image.png) [Download here from the Apple AppStore](https://apps.apple.com/gb/app/v-nova/id1363898377) [Download here from the Google PlayStore](https://play.google.com/store/apps/details?id=com.vnova.PERSEUS\&hl=en_GB\&gl=US) [Download here from the Microsoft Store](https://www.microsoft.com/en-qa/p/v-nova/9n9c2z21xhl9?cid=msft_web_chart\&activetab=pivot:overviewtab) [A website player is also available here.](https://player.v-nova.com) ### Integrating playback in your applications LCEVC-enhanced decoding is deployable in software at a variety of levels in your software stack. After testing encoding and playback from the V-Nova Platform and associated demo apps, should you wish to proceed with testing integration within your own players please review the documentation sections on our [Reference Integrations](/technologies/mpeg-5.lcevc/integrations/integrations.md) and [Decoder Integration Layer](/technologies/mpeg-5.lcevc/decoder/sdk/decoder-integration-layer-dil.md) and [contact us](https://www.v-nova.com/london-based-ip-and-software-company/contact-v-nova/) for more details. A range of other decoding implementations are also available including AOSP and MFT. [Contact us](https://www.v-nova.com/london-based-ip-and-software-company/contact-v-nova/) to find out more. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.v-nova.com/technologies/v-nova.platform/decoding.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.