VISOGEN: AI and APIs Unleashed for Smarter Video Generation

The increasing demand for multimedia content in education, media, and information dissemination has created a need for efficient and accessible video production tools. This research presents VisoGen, an AI-driven system designed to automate the video content creation process. A system based on artificial intelligence produces informative videos from one input: a topic name. Upon receiving the topic, the system uses Natural Language Processing (NLP) models to automatically retrieve and summarize key information. This generated text is then converted into speech using Text-to-Speech (TTS) technology. Simultaneously, a visual representation of the text is created in the form of subtitles, which are synchronized with the audio for enhanced accessibility. The system then compiles the audio and visual components into a coherent video output. By automating research, content generation, voiceover, and video editing, the proposed system streamlines content creation, making it an efficient and valuable tool for educational, informational, and media production applications. The system significantly reduces the time and effort typically required for manual video creation, offering a seamless solution for users to generate high-quality, multimodal content tailored to their needs. This approach can be particularly beneficial in various sectors such as online learning, media, marketing, and content creation, enhancing both productivity and accessibility.