ai-multimodal

Batch multimodal processing allows you to transcribe audio, caption images, and extract PDF data in one workflow. Using Google Gemini's API, you can run batch tasks across multiple media types to generate unified text outputs.

Yes, you can perform OCR and image generation using the Gemini API. The multimodal processing capabilities support extracting text from images via OCR and generating new images directly from text prompts.

Yes, a GEMINI_API_KEY is required to analyze video and caption images. You must configure this API key in your environment using python-dotenv to authenticate requests to Google Gemini for multimedia processing.

The best way to run batch video analysis and audio transcription is through a pipeline-oriented approach. By leveraging Google Gemini's multimodal API, you can process multiple media types concurrently to summarize scenes and transcribe speech.

Multimodal processing works with Python and Pillow for image captioning. You can use Pillow to handle image preprocessing before sending the media to the Gemini API for tasks like object detection, segmentation, and captioning.

You should avoid a unified multimodal toolchain when your task requires highly specialized, single-format processing or offline execution. If your workflow cannot rely on external dependencies like the Google Gemini API, use dedicated single-format libraries instead.