ai-multimodal

To analyze media using Gemini, you can use Python scripts that leverage the google-genai library to process images, audio, and video. This approach supports multimodal analysis, transcription, and OCR by sending the media files directly to the API.

Yes, you can generate images and videos using the Gemini API through Python scripts. The integration specifically uses Imagen 4 for image generation and Veo 3 for video generation to produce visual content from prompts.

Managing Google Gemini API keys for batch processing scripts is handled using python-dotenv. You store your credentials in environment variables, allowing the scripts to securely access the API key and configure the model during execution.

Transcribing and summarizing a meeting recording is achieved by passing the audio file to the multimodal API for transcription. The same interface then analyzes the text to summarize key discussion points and can generate a representative image.

Yes, the Gemini multimodal API supports OCR for extracting text from documents and images. The API's advanced vision capabilities analyze the visual input and return the recognized text directly through the Python interface.

The required Python dependencies for multimodal media analysis include google-genai for the API interface, python-dotenv for environment variable management, and pillow for handling image file processing.