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Multimodal Interaction Design Makes Chatly a Cross-Scenario Productivity Tool

2025-08-20 375

Speech-image-text cooperative work system

Chatly's interaction system consists of three innovative layers: the voice layer uses the Whisper model to realize real-time transcription in 98 languages and supports voice input with accent; the visual layer analyzes the 143 feature dimensions of uploaded images through the CLIP model, for example, to identify brand elements in product diagrams; and the text layer coordinates with multiple models to output unified results. A typical use case is that a designer describes "I need a cyberpunk style product conceptual drawing" by voice, and uploads a sketch at the same time, the system will generate a compliant image with a style analysis report.

The mobile terminal is especially optimized for context-awareness capability: when detecting that the user is in a travel scenario, it will automatically call the landmark recognition and itinerary planning modules. The background data shows that the processing efficiency of multimodal tasks is 1.8 times faster than that of single mode, and the user retention rate is increased by 40%. Future versions are planned to add AR real-time analysis function to further expand the application boundaries.

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