video-processor

Automate video transcription and YouTube chapter generation by processing video files with Whisper to produce timestamped transcripts and SRT subtitles. The workflow analyzes the transcript to segment the video into logical chapters, producing AI-based chapter markers without manual effort.

Yes, you can generate AI thumbnails for YouTube videos using face references or style matching. By providing descriptive prompts, the workflow leverages Gemini image generation to create customized, engaging thumbnails tailored to your video content.

Yes, FFmpeg is required to process videos for social media graphics. It handles the underlying video file processing required to extract the content, which is then used to generate professional images for platforms like LinkedIn, Instagram, Twitter, or Facebook.

The best way to convert long videos into social media snippets is using an automated multi-step workflow. It transcribes the video, extracts key segments, and generates customizable social media graphics, streamlining content production for digital marketers and content creators.

AI image generation for LinkedIn post images works by taking descriptive prompts derived from your video content and passing them to Gemini. This produces professional, platform-specific graphics suitable for content creators and digital marketers without manual design.