> For the complete documentation index, see [llms.txt](https://docs.flora.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flora.ai/nodes/text-node/video-to-text.md). # Video to Text ## Summary Video to text can be performed by connecting a Video Node with a Text Node. Similar to Image to text, it can be used to extract information from any video inputs. This combination of nodes can be used to take actions like **describe the video**, or **give a numbered list of frames with detailed description of visual content.**
## Prompt * **"**Describe this video in a few sentence**"** * "Describe the composition and focal points of each frame, on how elements are arranged and how they guide the viewer's attention." * "Illustrate the atmosphere of each scene, focusing on sensory details such as lighting, visceral color sensation, and spatial depth." * "Describe how recurring motifs and visual patterns contribute to thematic development in the video." * "Give me a list of frame in this video and describe each visual composition." --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.flora.ai/nodes/text-node/video-to-text.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.