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FrameFlow is a high-fidelity multimedia platform that bridges the gap between raw video/image assets and creative intelligence. By fusing Google Gemini's multimodal brain with precise FFmpeg engineering, FrameFlow transforms how you consume, extract, and generate media.

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# 🌊 FrameFlow

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**FrameFlow** is a high-fidelity multimedia platform that bridges the gap between raw video/image assets and creative intelligence. By fusing **Google Gemini's** multimodal brain with precise **FFmpeg** engineering, FrameFlow transforms how you consume, extract, and generate media.

<div>
  
  [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://raw.githubusercontent.com/navidshad/frameflow/main/LICENSE)
  [![Platform: Electron](https://img.shields.io/badge/Platform-Electron-lightgrey.svg)](https://www.electronjs.org/)
  [![Framework: Vue 3](https://img.shields.io/badge/Framework-Vue%203-4fc08d.svg)](https://vuejs.org/)
  [![AI: Google Gemini](https://img.shields.io/badge/AI-Google%20Gemini-4285F4.svg)](https://deepmind.google/technologies/gemini/)

</div>

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## 🚀 The Three Pillars of FrameFlow

FrameFlow is built on three core intelligence layers, designed for creators, researchers, and developers.

### 1. 🎞️ Video to Short Video
Transform long-form content into concise, meaningful highlights.
- **Academic Precision**: Condense 2-hour technical lectures into 5-minute study guides.
- **Meeting Recap**: Rapidly navigate long webinars for specific insights.
- **Narrative Awareness**: AI understands scene transitions and audio context simultaneously.

### 2. 📸 Video to Thumbnail
Extract and generate high-fidelity visual assets from any video source.
- **Auto-Enrichment**: AI analyzes scene quality to extract the most representative frames.
- **Professional Thumbnails**: Generate YouTube-ready or presentation-grade thumbnails with AI-driven composition.
- **Batch Processing**: Extract hundreds of scene-indexed images in seconds.

### 3. 🎨 Images to Image
Leverage multimodal prompts to transform existing images or generate new ones from scratch.
- **Visual Continuity**: Use existing frames as structural references for new generations.
- **Prompt-Driven Flow**: Refine images using natural language within a unified chat-graph interface.
- **Multimodal Fusion**: Combine video context with external image uploads for hybrid creativity.

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## 🧩 Supported Inputs

FrameFlow handles a wide range of media formats and sources:

- **Video Formats**: Native support for `.mp4`, `.avi`, `.mov`, and `.webm`.
- **Online Sources**: YouTube, Google Drive, and direct media URLs (via `yt-dlp`).
- **Images**: High-fidelity `.jpg`, `.png`, and `.webp` for structural reference and multimodal generation.
- **Optimization**: High-res videos are automatically downscaled (480p) to ensure lightning-fast AI analysis without losing metadata.

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## 🎨 Premium Experience (UX)

FrameFlow isn't just a tool; it's an iterative workspace:

- **Vue Flow Graph Interface**: Manage parallel tasks and version branches visually.
- **Live Metrics**: Monitor AI token usage and processing costs in real-time.
- **Zero-Config Preprocessing**: Automatic scene detection and transcript extraction.
- **Ambient Design**: A sleek, dark-mode-first interface with glassmorphism and smooth animations.

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## 🧭 Navigation & Setup

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## 📸 Interface Preview

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## 📜 License & Credits

FrameFlow is licensed under the **MIT License**. Created by [navidshad](https://github.com/navidshad) and his classmates as part of a high-fidelity AI engineering initiative at Vilnius Gediminas Technical University (VGTU).

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> [!TIP]
> **Pro Choice:** Check the **[Architecture Deep-Dive](./docs/architecture.md)** to see how we handle multimodal intent recognition and technical "diffs" for consistency.

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