"Build a complete, fully functional web application that automatically turns long-form videos (up to 4GB) into short-form viral content with the following capabilities:" 📁 CORE FEATURES Video Upload Support uploading video files up to 4GB in size. Accept formats like MP4, MOV, and AVI. Show upload progress and basic validation. AI-Powered Auto Clipping Automatically extract 30–45 second highlights from the video. Use AI to detect the most engaging moments based on: Volume and speech energy Emotional tone Keyword hooks (e.g. “bro”, “insane”, “no way”) Visual cues like scene changes or facial reactions Generate 3–10 clips per video depending on content density. Auto-Captioning Transcribe spoken content using accurate AI transcription. Auto-generate captions synced with each clip. Provide both burned-in captions and downloadable subtitle files (SRT/VTT). Allow caption styling (font, color, size, keyword emphasis). Format for Social Media Output clips in 3 common aspect ratios: 9:16 (TikTok/Reels/Shorts) 1:1 (Instagram) 16:9 (YouTube) Automatically center the subject or speaker using AI tracking. Apply platform-safe margins to preserve captions and overlays. Branding & Overlays Let users optionally add: Their profile handle or watermark CTA text (e.g. “Subscribe @Wasa ”) Auto-generated titles using AI (based on video transcript) Optional animated captions and zoom/pan effects for visual interest. Clip Management & Download After processing, display all clips in a preview carousel. Let users: Watch clips directly on the site View clip duration (should always be 30–45s) Download individual clips or batch as a ZIP (includes video + captions) All download links must work correctly in modern browsers. Performance & Storage Ensure videos are encoded and served in a way that allows: Instant browser playback (preview thumbnails must work) Direct file downloads Store all processed files temporarily (e.g. 24 hours) before automatic cleanup. 🌐 USER INTERFACE REQUIREMENTS Clean, modern interface with: Upload panel Processing status indicator Clip preview area (with playback and download) Fully mobile responsive Use intuitive layout for creators and non-technical users ⚙️ TECHNICAL REQUIREMENTS Use a single language stack throughout the backend and frontend. All video previews must be playable in-browser. All download buttons must work without JavaScript hacks. The system must be optimized for large file handling, AI video analysis, and real-time media previews. No unnecessary dependencies or plugins; focus on performance, reliability, and UX. Build the full system as described above from scratch. Handle all backend logic, video processing, transcription, clip generation, formatting, and UI rendering. Ensure all core features are functioning at launch.” - Follow Up Deployment

"Fix both the video playback and download issues on the current website. The backend is AI-controlled and should follow these exact instructions:" ✅ 1. Correctly Encode Video Files for Web Compatibility After clipping videos, re-encode each one using FFmpeg with the following settings to ensure playback and seeking work correctly in browsers: Use: -c:v libx264 -preset fast -crf 23 Use: -c:a aac Must include: -movflags +faststart This ensures the video metadata is moved to the beginning, allowing thumbnails, seeking, and streaming. ✅ 2. Serve Static Files Properly Make sure the clipped video files are saved in a publicly accessible directory such as /clips/. The backend must expose this directory to the frontend with static file routing: Example route: /clips/highlight_1.mp4 The backend must return the correct Content-Type: video/mp4 header for all MP4 responses. Do not restrict access with auth, tokens, or CORS unless required. ✅ 3. Fix Video Playback in the Browser Ensure that the HTML video tag works using the following structure: html Copy Edit <video controls preload="metadata"> <source src="/clips/highlight_1.mp4" type="video/mp4"> Your browser does not support the video tag. </video> The video file must load and play without redirection or error. Browsers must be able to request and stream the file directly. ✅ 4. Fix the Download Button Each video must have a working download link that uses a plain HTML anchor tag: html Copy Edit <a href="/clips/highlight_1.mp4" download>Download Clip</a> The file must exist at that path and download without requiring JavaScript, redirects, or API calls. If a backend route is used for downloading, it must: Return the raw file Include Content-Disposition: attachment in headers Include Content-Type: video/mp4 ✅ 5. Validation Checklist When visiting /clips/highlight_1.mp4 in a browser: It should either stream the video or download it. The server should return status 200 OK and correct MIME headers. When loading the HTML page: The video preview should show a thumbnail or allow playback. The download button should trigger a real file download. Fix these issues in both the frontend and backend. Do not introduce new frameworks or change core site structure. All fixes must preserve existing upload, processing, and clip generation functionality.” - Follow Up Deployment

✅ 1. Ensure Proper Video Encoding for Thumbnails All videos must be encoded using this FFmpeg command to allow browsers to extract thumbnails (especially Chrome and Safari): bash Copy Edit ffmpeg -i input.mp4 -c:v libx264 -preset fast -crf 23 -c:a aac -movflags +faststart output.mp4 The +faststart flag is required so the browser can access video metadata (including thumbnails) before the full file loads. ✅ 2. HTML Structure for Video Previews Use this exact structure for the video preview element: html Copy Edit <video width="320" height="480" controls preload="metadata" poster="/images/loading-thumbnail.jpg"> <source src="/clips/highlight_1.mp4" type="video/mp4"> Your browser does not support the video tag. </video> preload="metadata" ensures only the video’s metadata loads (which includes the thumbnail). poster="/images/loading-thumbnail.jpg" is an optional fallback image if the video thumbnail still doesn't render immediately. ✅ 3. Ensure Videos Are Publicly Accessible The video files must be: Saved in a public /clips/ folder Served correctly by the web server with Content-Type: video/mp4 Paths must not be relative like ./clips/video.mp4. Use absolute paths like /clips/video.mp4. ✅ 4. Add Fallback Poster Manually (Optional Enhancement) You can also generate a thumbnail manually using FFmpeg: bash Copy Edit ffmpeg -i input.mp4 -ss 00:00:01.000 -vframes 1 /thumbnails/highlight_1.jpg Then use this thumbnail in the HTML: html Copy Edit <video poster="/thumbnails/highlight_1.jpg" ...></video> Apply these fixes so that every video preview on the page shows a thumbnail before clicking play. Do not switch frameworks or languages.” - Follow Up Deployment

“Update the existing HTML-based video clipping site with the following enhancements and fixes: Clip Length Constraint Only generate and display clips that are between 30 and 45 seconds long. If a clip is longer than 45s, split it into multiple 30–45s clips. If it’s shorter than 30s, discard it unless no other highlights exist. Fix Video Preview Playback Ensure each <video> element uses this format: html Copy Edit <video width='320' height='480' controls preload='metadata'> <source src='/clips/highlight_1.mp4' type='video/mp4'> Your browser does not support the video tag. </video> Make sure the src path is correct and matches the actual file location. All video files must be properly encoded using FFmpeg with this command: bash Copy Edit ffmpeg -i input.mp4 -c:v libx264 -preset fast -crf 23 -c:a aac -movflags +faststart output.mp4 Fix Download Button Replace any <button> elements with this exact format: html Copy Edit <a href='/clips/highlight_1.mp4' download>Download Clip</a> Ensure the file path is valid and points to an existing MP4 file. Show Clip Duration on Screen Under each video preview, display a line showing the clip length (e.g., “Duration: 38 seconds”). Pull this from the metadata or set it dynamically based on video start/end timestamps. File Not Ready Handling (Optional) If a clip isn't ready or hasn’t loaded yet, show a fallback message: html Copy Edit <p>Preview unavailable. Clip is still processing.</p> - Follow Up Deployment

“Update the viral clip generation website with the following functional fixes and improvements:” ✅ 1. Clip Duration Constraint Ensure all generated clips are between 30 and 45 seconds. If the auto-selected clip is longer than 45s, split it into multiple clips of 30–45s. If the clip is shorter than 30s, discard it unless it’s the only usable highlight. Add this constraint to the clipping logic (either during highlight scoring or just before slicing). ✅ 2. Fix Video Preview Not Playing Ensure all generated clips are encoded for web playback using FFmpeg: bash Copy Edit ffmpeg -i input.mp4 -c:v libx264 -preset fast -crf 23 -c:a aac -movflags +faststart output.mp4 Verify the clips are saved to a publicly accessible folder, e.g. /static/clips/. Serve the folder correctly from the backend: js Copy Edit // Example for Express.js: app.use('/clips', express.static('clips')); python Copy Edit # Example for FastAPI: from fastapi.staticfiles import StaticFiles app.mount("/clips", StaticFiles(directory="clips"), name="clips") Ensure <video> tags point to correct paths like: html Copy Edit <video src="/clips/highlight_1.mp4" controls></video> Confirm server returns correct MIME type (video/mp4) and there are no CORS issues. ✅ 3. Fix Download Button Not Working Use HTML anchor tag with download attribute instead of a <button>: html Copy Edit <a href="/clips/highlight_1.mp4" download>Download Clip</a> Alternatively, add a backend route for clean downloads: python Copy Edit from fastapi.responses import FileResponse @app .get("/download/{filename}") def download_clip(filename: str): return FileResponse(f"clips/{filename}", media_type='video/mp4', filename=filename) Make sure clip files exist at the referenced path before download links are rendered. ✅ 4. Additional Notes Keep all clip processing asynchronous and notify the user when files are ready. File size limit: 4GB per upload Store clips for 24 hours max, then delete to save space. Ensure all previews load directly in browser without requiring login/auth (unless gated on purpose). Let me know if you want to also add: Automatic watermark/logo placement GPT-generated titles and hashtags Dark/light UI toggle for dashboard - Follow Up Deployment

“Update the viral clip generation website with the following functional fixes and improvements:” ✅ 1. Clip Duration Constraint Ensure all generated clips are between 30 and 45 seconds. If the auto-selected clip is longer than 45s, split it into multiple clips of 30–45s. If the clip is shorter than 30s, discard it unless it’s the only usable highlight. Add this constraint to the clipping logic (either during highlight scoring or just before slicing). ✅ 2. Fix Video Preview Not Playing Ensure all generated clips are encoded for web playback using FFmpeg: bash Copy Edit ffmpeg -i input.mp4 -c:v libx264 -preset fast -crf 23 -c:a aac -movflags +faststart output.mp4 Verify the clips are saved to a publicly accessible folder, e.g. /static/clips/. Serve the folder correctly from the backend: js Copy Edit // Example for Express.js: app.use('/clips', express.static('clips')); python Copy Edit # Example for FastAPI: from fastapi.staticfiles import StaticFiles app.mount("/clips", StaticFiles(directory="clips"), name="clips") Ensure <video> tags point to correct paths like: html Copy Edit <video src="/clips/highlight_1.mp4" controls></video> Confirm server returns correct MIME type (video/mp4) and there are no CORS issues. ✅ 3. Fix Download Button Not Working Use HTML anchor tag with download attribute instead of a <button>: html Copy Edit <a href="/clips/highlight_1.mp4" download>Download Clip</a> Alternatively, add a backend route for clean downloads: python Copy Edit from fastapi.responses import FileResponse @app .get("/download/{filename}") def download_clip(filename: str): return FileResponse(f"clips/{filename}", media_type='video/mp4', filename=filename) Make sure clip files exist at the referenced path before download links are rendered. ✅ 4. Additional Notes Keep all clip processing asynchronous and notify the user when files are ready. File size limit: 4GB per upload Store clips for 24 hours max, then delete to save space. Ensure all previews load directly in browser without requiring login/auth (unless gated on purpose). Let me know if you want to also add: Automatic watermark/logo placement GPT-generated titles and hashtags Dark/light UI toggle for dashboard - Follow Up Deployment

Prompt: Build a Viral Video AI Better Than OpusClip "Enhance my current video upload website with a professional-grade, AI-powered clip generator that outperforms OpusClip in precision, control, and social-readiness. This add-on should automate the viral content process for creators and provide powerful editing control directly in the browser." 🔧 Features to Add (Outperform OpusClip): 🔹 1. AI-Powered Auto-Clip Engine Extract 3–10 short clips from videos up to 4GB in size Use multi-factor highlight detection: NLP-based excitement and hook detection (e.g., “what just happened”, “you won’t believe…”) Volume/voice intensity spikes Facial emotion detection or scene change tracking Let users select a "Style" preset: Funny, Motivational, Educational, or Drama/Hot Takes Add a manual override toggle: if users disagree with AI, they can re-pick timestamps or delete clips before export 🔹 2. Advanced Captions (Better Than Opus) Use OpenAI Whisper or Deepgram to generate hyper-accurate word-level transcripts Auto-style captions like: Bolded keywords Bounce/fade-in effects Emoji and color injection Support for multiple caption fonts Allow export with: Burned-in captions (MP4) SRT/VTT download Captions in both standard and viral styles 🔹 3. Dynamic Framing + Resizing (AI Smart Reframing) Smart subject tracking using AI (e.g., center face or body) Generate all major formats: 9:16 (TikTok/Reels/Shorts) 1:1 (Instagram feed) 16:9 (YouTube/Landscape) Apply safe-zone overlays to prevent cropping out text/speaker 🔹 4. Visual Enhancements & Branding Tools Optional Top/Bottom Bar overlays with: Auto titles: Hook-based using GPT ("He Didn’t See That Coming…") Profile handle or CTA (“Follow @Wasa ”) Built-in zoom/pan effect and motion tracking (Ken Burns style) Color themes and preset animation packs for text and overlays User uploads a logo or watermark to apply across all clips 🔹 5. Export Options & Batch Downloads Clip preview carousel with: Format picker (MP4, square, vertical) Toggle captions on/off Select clips to include in ZIP Export includes: MP4 clip Caption file (SRT/VTT) JSON with clip metadata (timestamps, summary, emotion score) 🔹 6. Bonus: AI Titles + Hashtag Generator Generate 3+ clip titles using GPT-4 based on each highlight Recommend hashtags per platform (TikTok, YT, IG) using content tags ⚙️ Technical Instructions for AI Backend Additions Integrate FFmpeg (trimming, formatting, caption burning) Use Whisper (or Deepgram) for transcription Clip scoring model using: Hugging Face (e.g., sentiment/emotion classifiers) NLP keyword match + energy curve from audio Add a task queue (Celery or similar) to process large files async Max upload size: 4GB (enforced via server config & client check) Frontend Additions New dashboard: “Clip Generator” Upload → Process → Preview & Customize → Download Live clip preview with format/caption toggles Caption styling UI (font, color, animation) Clip filtering (remove unwanted clips) Storage/Timeout Store processed clips & files for 24 hours, then auto-delete to save space ✅ Output Summary Feature Better Than OpusClip Because… Highlight Detection Uses multi-layer emotion, keyword, and speech excitement Captions Fully stylized, animated, font-controlled Format Options Auto-reframes in 3 social formats Customization Manual clip editing + branding overlays AI Titles/Hashtags GPT integration for hooks & virality User Branding Logo watermark + CTA text - Initial Deployment

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