Integrate FFmpeg and Gemini
Connect FFmpeg and Gemini nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Node stack
Supported FFmpeg and Gemini Nodes
Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI
Audio Overlay
Overlay audio on top of an existing video using FFmpeg.
Combine Audio
Combine multiple audio files into one.
Combine Videos
Combine multiple videos into one, ensuring they all share a common resolution.
Compress Audio
Compresses an audio file (.mp3, .m4a) using FFmpeg
Compress Video
Compresses a video file using FFmpeg
Convert Video Format
Converts the specified video from one format to another. NOTE: This process can be compute intensive depending on the size of the video.
Count Tokens in Prompt
When using long prompts, it might be useful to count tokens before sending any content to the model.
Gemini Text Generator
Make an API call to the Generative Language Model endpoint
Generate Embedding
Generate Embeddings from text input and represent text (words, sentences, and blocks of text) in a vectorized formusing Gemini AI
Multimodal
Use Google's Gemini AI to generate text from text-only or text-and-image input. [Full documentation](https://cloud.google.com/vertex-ai/docs/generative-ai/start/quickstarts/quickstart-multimodal).
Stream Response
Generates a stream of response text using Google's Generative AI with a given prompt
Quick start
How to integrate FFmpeg and Gemini
Step 1 — Add the nodes to your workflow
Create a new workflow in BuildShip, click “Add node”, and select the FFmpeg and Gemini actions you want to use.
Step 2 — Configure each node
Go to each node to authenticate (or add your API key) and fill in the required parameters.
Step 3 — Connect the nodes
Each node in BuildShip can connect to others by using their output variables. When you reference a variable from one node in another, BuildShip automatically links them in the workflow.
Step 4 — Test your workflow
Define your starting data in the Inputs node and choose what to do with the result in the Flow Output node. Finally, run a test to see your workflow in action.
blog posts & tutorials
Recommended Reads
Below are recommneded blogs that will help in your journey
support
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