FlexClip AI's text-to-video function contains two modes: creative-to-video and article/URL-to-video, and its technical implementation does follow the classic path of semantic parsing and material matching. The system first performs NLP processing on the input text to extract keywords and semantic frames, and then matches the corresponding video clips and image resources from its massive material library.
The specific workflow is divided into 1) script generation and semantic analysis using ChatGPT-like models; 2) selecting different thematic style templates such as business, education, etc. based on the text type; and 3) intelligently matching background music and transition effects. This approach is not as advanced as generative AI directly rendering videos, but it ensures the relevance of the content and production efficiency.
Compared to a fully AIGC video generation solution, this semi-automatic splicing significantly reduces the computational cost while guaranteeing the basic quality, making it possible for ordinary users to quickly obtain usable video works.
This answer comes from the articleFlexClip AI: All-in-one AI media editing tool, from video editing to image enhancement and audio processing.The
