Gemini-CLI-UI realizes the composite processing of image, code and text by integrating the multimodal capability of Gemini 2.5 Pro. Its core technology lies in the establishment of Base64-based image encoding transmission channel and the development of a specialized visual markup language parser. Tests show that the system can accurately recognize screenshots containing codes, and the accuracy of OCR conversion reaches 92%.
Typical application scenarios include: directly converting architecture diagrams on the whiteboard to PlantUML code by taking a picture of the whiteboard from a cell phone; uploading screenshots of error logs for diagnostic advice; and interactively modifying AI-generated UML diagrams. These features enable developers to stay productive in mobile scenarios with an efficiency gain of about 55% over text-only interactions.
For the underlying implementation, the system adopts a layered processing architecture: the front-end is responsible for media pre-processing, and the back-end calls Gemini's multimodal API to maintain the interaction state via WebSocket. The technical team specially optimized the image compression algorithm to ensure that the usability can still be maintained under 2G network.
This answer comes from the articleGemini-CLI-UI: Intuitive Web Interface for Gemini CLIThe
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