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Madbax

By Udemy · Official page

AI Video Editing for Social Media Growth

About this item

Lesson 01 - Overview of AI-Driven Social Media Video Strategies

Lesson 02 - Mapping the End-to-End Video Production Pipeline

Course Curriculum

  • Set up a complete AI video production pipeline with cloud storage and tool integration
  • Write hook-first scripts and generate natural-sounding AI voiceovers for short-form content
  • Create dynamic visuals using AI image generators and animate static assets for engagement
  • Optimize video dimensions, frame rates, and exports for TikTok, Reels, and YouTube Shorts
  • Automate caption updates and batch process multiple scripts into finished video files
  • Review analytics data to refine and improve your AI editing workflow over time
  • Overview of AI-Driven Social Media Video Strategies 4:58
  • AI Video Workflow: A structured sequence of steps where artificial intelligence handles repetitive tasks like scripting, voiceover generation, and clip selection to speed up production.
  • Text-to-Speech (TTS): Technology that converts written text into natural-sounding audio, allowing creators to generate voiceovers without recording.
  • Repurposing: The process of taking existing long-form content and using AI to extract, edit, and format it into short-form videos for different platforms.
  • Human-in-the-Loop: An editing approach where AI generates drafts, but a human reviewer adds personality, checks accuracy, and ensures brand alignment.
  • Script Generation: Use AI prompts to create structured scripts with hooks and calls to action for short-form video.
  • Audio Creation: Generate voiceovers using TTS tools, selecting voices that match your brand identity.
  • Visual Matching: Employ AI editors to automatically sync stock footage or b-roll with your audio track.
  • Content Repurposing: Upload long-form videos to AI tools that automatically identify highlights, add captions, and format them for Shorts/Reels.
  • Review and Refine: Always edit AI output to inject personal voice and correct any errors before publishing.
  • Mapping the End-to-End Video Production Pipeline 6:07
  • Video Production Pipeline: The linear workflow from initial concept to final upload, typically including planning, creation, editing, and distribution.
  • AI-Assisted Editing: Using artificial intelligence to automate repetitive tasks such as captioning, silence removal, and clip selection.
  • B-Roll: Supplementary or alternative footage intercut with the main shot (A-roll) to illustrate or enhance the narrative.
  • Template: A pre-configured project file in video editing software that retains settings like fonts, colors, and logos for quick reuse.
  • Planning: Define the hook, body, and call to action; use AI to generate script outlines or trending hooks.
  • Creation: Record raw footage or generate AI visuals/avatars; prioritize speed and clear audio.
  • Editing: Import raw material; use AI for transcription, captioning, and smart cuts; review and refine.
  • Polishing: Add branding elements, music, and final adjustments; ensure human oversight for tone and accuracy.
  • Identifying Key Efficiency Gains with AI Tools 5:27
  • Automated Captioning: Using AI to transcribe audio and generate synchronized text overlays, reducing manual typing time.
  • Content Repurposing: Transforming long-form content into multiple short-form clips using AI to identify high-engagement segments.
  • Human Oversight: The necessary step of reviewing and editing AI-generated outputs to ensure accuracy and brand alignment.
  • Template Presets: Saved styling configurations (fonts, colors, logos) that allow for rapid, consistent application across multiple videos.
  • Identify time-consuming manual tasks like captioning and cutting clips.
  • Use AI tools to generate transcripts and select engaging video segments.
  • Review AI outputs for errors, context, and tone adjustments.
  • Apply brand templates to ensure visual consistency and speed up export.
  • Setting Realistic Expectations for AI Output Quality 5:39
  • Raw Material: The initial, unpolished output from an AI tool that requires human editing and refinement before it is ready for public consumption.
  • Statistical Generation: The process by which AI predicts the next pixel or sound wave based on data patterns, rather than understanding creative intent or narrative.
  • Fix-It Assets: A pre-prepared library of stock footage, sound effects, and graphics used to cover errors or distortions in AI-generated clips.
  • Rough Cut: An early version of a video that contains the basic elements but lacks final polish, color correction, or precise editing.
  • Generate Small Segments: Create individual clips (backgrounds, actions, audio) separately rather than requesting a full video in one prompt.
  • Review for Distortions: Check for unnatural movements, facial distortions, or mismatched audio in the AI output.
  • Edit and Overlay: Use video editing software to cut out errors, add text overlays, or layer stock footage to hide AI flaws.
  • Assemble Final Product: Combine the cleaned-up AI clips with your own assets to create a polished, brand-consistent video.
  • Evaluating Top AI Video Editors for Social Media 5:11
  • CapCut: A free, widely-used video editor known for its mobile-friendly interface, built-in trending templates, and automatic captioning features suitable for short-form social content.
  • Descript: A text-based video editor that allows users to edit audio and video by modifying a transcript, featuring automatic filler word removal and studio sound enhancement.
  • Studio Sound: An audio processing feature that uses AI to reduce background noise and enhance vocal clarity, making recordings sound professional regardless of the recording environment.
  • Template Workflow: A method of saving pre-designed video layouts (including intros, outros, and text styles) to speed up production by simply dropping new media into the existing structure.
  • Evaluate tools based on content type: use CapCut for visual trends and captions, or Descript for speech-heavy content and audio cleanup.
  • Test free versions to check export quality, mobile readability, and watermark presence before purchasing.
  • Calculate costs based on monthly output volume to choose between flat-rate subscriptions and pay-per-use models.
  • Create and save templates within your chosen software to standardize branding and reduce editing time.
  • Installing and Configuring Your Primary AI Editor 6:23
  • Auto Captions: An AI feature that transcribes spoken audio into on-screen text, essential for accessibility and silent viewing.
  • Cutout/Background Removal: An AI tool that isolates the subject from the background, allowing for custom backdrops or cleaner visuals.
  • Export Settings: The configuration for resolution (e.g., 1080p), frame rate, and bitrate that determines video quality and file size.
  • Template Project: A pre-saved project file with consistent styles, fonts, and layouts to speed up future video creation.
  • Download and install the desktop version of CapCut from the official website.
  • Create a new project and import raw video clips into the media library.
  • Configure export settings to 1080p resolution and 30 fps for optimal social media quality.
  • Generate auto-captions, review for accuracy, and apply readable styles within the safe zone.
  • Use the cutout feature to remove backgrounds and add custom visuals.
  • Save a project as a template to maintain consistency and reduce repetitive work.
  • Setting Up Cloud Storage for Asset Management 7:38
  • Create a main Assets folder with subfolders for Raw Footage, Graphics, and Audio.
  • Establish a project-based hierarchy with Raw, Edits, and Exports subfolders for each project.
  • Set specific access permissions for team members to limit exposure to sensitive data.
  • Configure sync settings to use online-only mode for archived files t

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