Build multimodal AI features with a single prompt. Gemini is Google’s multimodal AI model that can process text, images, and video simultaneously. Connect your API key, describe what you want, and Rocket handles the implementation.You need:
- A Rocket account
- A Google AI Studio account with access to Gemini
What you can use it for
Image analysis and description
Image analysis and description
Let users upload images and get detailed descriptions, alt text, or extracted information using Gemini’s vision capabilities.Try this prompt:Rocket creates: image upload UI, Gemini vision API integration, and structured results display.
Multimodal chat
Multimodal chat
Let users send both text and images in a conversation, with Gemini responding using context from both.Try this prompt:Rocket creates: chat UI with image attachment, Gemini multimodal API calls, and response rendering.
Content generator
Content generator
Generate blog posts, product descriptions, social media copy, or marketing content from simple prompts.Try this prompt:Rocket creates: input form, Gemini generation pipeline, and formatted content output.
Visual search
Visual search
Let users search by uploading an image and finding similar items or related information.Try this prompt:Rocket creates: image upload, Gemini identification pipeline, and search results display.
Document OCR and extraction
Document OCR and extraction
Extract text, tables, and structured data from photos of documents, receipts, or handwritten notes.Try this prompt:Rocket creates: camera/upload UI, Gemini OCR processing, and structured data output.
Get your Gemini API key
Visit Google AI Studio to create or copy your API key.
Detailed setup
- Web Browser
- Mobile App
Connect Gemini to Rocket
There are two ways to connect Gemini to Rocket:Method 1: Use Rocket Chat (fastest)-
In any project, open the chat panel and type something like:
Connect Gemini AI to: -
Generate text summaries or titles. -
Add a multimodal input field that accepts image + text. -
Respond to user questions with Gemini-powered answers. - You will see a popup appear where you can paste and save your API key instantly.


- Open any project and go to Integrations.


- Click the Gemini card.


When you connect Gemini from Project Settings, Rocket will not automatically create Gemini features.
After saving your API key, describe what you want to build in chat for Rocket to implement it.
Save your Gemini API key
- Paste your API key into the input field.
- Click Save to complete setup.
Update or disconnect
- Click the Gemini integration again.
- Replace the existing key or click Remove to disconnect.


Prompt cookbook
Copy-paste these prompts after connecting Gemini to build common multimodal features:| Use case | Prompt |
|---|---|
| Image description | Add an image upload that uses Gemini to generate a detailed description and alt text. |
| Photo search | Build a visual search where users upload a product photo and Gemini identifies similar items. |
| Document scanner | Create a receipt scanner that extracts line items, totals, and dates from uploaded photos. |
| Content writer | Build a blog post generator where users enter a topic and Gemini writes a draft with headings. |
| Image chat | Add a chat widget where users can attach images and Gemini responds with context from both text and image. |
| Social media generator | Generate Instagram captions and hashtags from an uploaded product photo using Gemini. |
| Diagram explainer | Let users upload a diagram or flowchart and Gemini explains each step in plain language. |
| Product catalog | Auto-generate product descriptions and categories from uploaded product images using Gemini. |
| Handwriting reader | Build a tool that converts handwritten notes to typed text using Gemini vision. |
| Quiz generator | Create a quiz from an uploaded textbook page using Gemini to extract key concepts and questions. |
Tips and limitations
- Gemini’s multimodal capabilities are its biggest strength. If your app needs to understand images, screenshots, or documents alongside text, Gemini is the best choice among Rocket’s AI integrations.
- Google ecosystem integration. Gemini works naturally with other Google services. If your users are already in the Google ecosystem, this is a strong fit.
- API billing is separate from Rocket. Google charges based on token usage and input type. Image inputs consume more tokens than text. Check Google AI pricing for current rates.
- One API key per project. Each Rocket project connects to one Gemini API key. Use different projects for different keys.
- Image size and format matter. Large images are resized automatically, but keeping uploads under 4MB ensures the fastest response times.
What’s next?
OpenAI
Compare Gemini with GPT models for text-focused AI features.
Anthropic
Add Claude for tasks requiring careful reasoning and safety-focused responses.
Supabase
Store uploaded images and analysis results in your database.
Resend
Email AI-generated reports, summaries, or analysis results to users.






