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mkreel

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Creator-grade CLI for clipping YouTube videos into polished reels.

Package Exports

    This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (mkreel) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

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    mkreel terminal card

    mkreel

    Creator-grade CLI for clipping YouTube moments into polished vertical reels with optional burned captions.

    CI npm ready Node 20.10 or newer MIT license

    clip it crop it caption it ship it

    mkreel takes a YouTube URL, lets you choose a segment, optionally turns it into a 1080x1920 reel, retimes English subtitles in native TypeScript, burns them into the video, and exports a ready-to-post MP4.

    If you have codex or claude installed, mkreel can also act like a smart creator sidecar:

    • mkreel <url> --smart suggests a clip, mode, and caption preset before the normal guided flow
    • mkreel suggest <url> scans the transcript for three strong clip ideas
    • mkreel package <file.mp4> generates a creator-friendly publish pack

    Core rendering, validation, file handling, subtitle retiming, and final ffmpeg work all stay inside mkreel. AI only suggests safe values that mkreel validates before use.

    Why It Feels Good

    • Guided interactive flow with smart defaults
    • Fully scriptable flags when you want automation
    • Optional AI sidecar for clip ideas and publish packs
    • First-run dependency bootstrapping for ffmpeg, ffprobe, and yt-dlp
    • Ready-made caption presets for Shorts, Reels, and TikTok-style exports
    • Clean subtitle retiming, clamping, overlap cleanup, and renumbering
    • Blur-fill vertical reel layout with centered foreground video
    • Predictable output naming and debug-friendly temp workspace handling

    Quick Start

    1. Install

    Requires Node.js >=20.10.

    npm install -g mkreel

    Or run it without a global install:

    npx mkreel --help

    2. Run It

    mkreel https://www.youtube.com/watch?v=YOUR_VIDEO_ID

    Optional AI-assisted entry point:

    mkreel https://www.youtube.com/watch?v=YOUR_VIDEO_ID --smart

    If you prefer npx:

    npx mkreel https://www.youtube.com/watch?v=YOUR_VIDEO_ID

    Standalone AI helper commands:

    mkreel suggest https://www.youtube.com/watch?v=YOUR_VIDEO_ID
    mkreel package clip.mp4

    3. Answer A Few Prompts

    The interactive flow is intentionally compact:

    1. Validate the URL
    2. Ask for clip start
    3. Ask for clip end
    4. Ask for output mode
    5. Ask whether to burn subtitles
    6. Ask for a caption preset if subtitles are enabled
    7. Show a concise execution summary
    8. Run the pipeline
    9. Print the final file path

    Fast Mental Model

    You want Use
    A vertical export for social apps --mode reel
    The original aspect ratio --mode original
    Burned captions --subs burn
    No captions --subs skip
    Human-friendly times 8:43, 08:43, or 00:08:43
    A dry preview first --dry-run
    Temp files kept for inspection --keep-temp
    Deep failure details --debug
    AI-assisted defaults before the guided flow --smart

    A Good First Command

    mkreel "https://youtu.be/dQw4w9WgXcQ" \
      --start 8:43 \
      --end 11:38 \
      --mode reel \
      --subs burn \
      --subtitle-position bottom \
      --subtitle-size large \
      --subtitle-style creator \
      --output final.mp4

    AI-assisted guided run:

    mkreel "https://youtu.be/dQw4w9WgXcQ" --smart

    Transcript-driven clip ideas:

    mkreel suggest "https://youtu.be/dQw4w9WgXcQ" --ai auto

    Creator publish pack for a finished clip:

    mkreel package "./my-finished-clip.mp4" \
      --ai codex \
      --context "Founder interview clip about consistency and audience growth"

    JSON output for automation:

    mkreel suggest "<url>" --json
    mkreel package "./my-finished-clip.mp4" --json

    Smart Workflows

    --smart

    mkreel <url> --smart keeps the normal guided experience, but first tries to:

    1. fetch video metadata
    2. read English subtitle text with timestamps
    3. ask the selected AI provider for:
      • a suggested clip range
      • reel vs original
      • a supported caption preset
      • a short reason

    If the suggestion looks good, you can accept it. If not, mkreel continues with the regular manual prompts and uses the suggestion as a starting point.

    If AI is unavailable, invalid, or times out, mkreel quietly falls back with a message like:

    Smart suggestions weren't available, so mkreel will continue with the regular flow.

    suggest

    mkreel suggest <url> returns three transcript-grounded clip ideas with:

    • start
    • end
    • label
    • reason
    • confidence
    • captionPreset
    • mode

    Human mode prints a creator-friendly list. --json prints structured JSON only.

    package

    mkreel package <file.mp4> generates a publish pack for a finished clip:

    • 5 short title ideas
    • 3 thumbnail text ideas
    • 1 social caption
    • 5 to 10 hashtags
    • 2 to 3 short hook lines

    If there is matching sidecar text near the file, mkreel uses it. You can also add extra context with --context.

    If you just want to preview the resolved plan without downloading or exporting:

    mkreel "https://youtu.be/dQw4w9WgXcQ" \
      --start 8:43 \
      --end 11:38 \
      --mode reel \
      --subs burn \
      --dry-run

    Caption Presets

    Interactive caption presets are designed so you usually do not need manual tuning.

    Preset Best for Feel
    Bottom creator General reels and talking-head clips Strong default, creator-style
    Bottom compact Longer spoken clips Smaller, denser captions
    Lower third clean Busy lower UI areas Safer above overlays
    Center punch Dramatic or emphatic clips Large, loud, punchy
    Top safe clean Lower frame covered by UI Moves captions away from the bottom
    Custom / advanced Fine-grained control Manual ASS tuning

    Long captions are wrapped automatically, and mkreel can reduce caption size slightly when needed to keep text inside the frame.

    Core Flags

    Flag Meaning
    --start <time> Clip start time
    --end <time> Clip end time
    --mode <mode> reel or original
    --subs <mode> burn or skip
    --smart Ask AI for a suggested clip, mode, and caption preset
    --ai <provider> auto, codex, or claude for AI-assisted workflows
    --subtitle-position <position> bottom, lower-third, center, top, or custom
    --subtitle-size <size> compact, balanced, large, xl, or custom
    --subtitle-style <style> creator, clean, soft, or custom
    --output <file> Output file path
    --open Open the exported file after completion
    --keep-temp Keep the job workspace after success
    --dry-run Print the resolved plan without running the pipeline
    --debug Print deeper failure detail and preserve temp files on errors
    --non-interactive Disable prompts and require all key flags
    Advanced caption tuning flags
    Flag Meaning
    --subtitle-alignment <n> Custom ASS alignment 1-9
    --subtitle-margin-v <px> Custom vertical margin
    --subtitle-margin-l <px> Custom left margin
    --subtitle-margin-r <px> Custom right margin
    --subtitle-font-size <n> Custom subtitle font size
    --subtitle-outline <n> Custom outline thickness
    --subtitle-shadow <n> Custom shadow strength
    --subtitle-bold Force bold captions

    What Happens On First Run

    mkreel checks for working system binaries first. If they are missing, it provisions managed versions of:

    • ffmpeg
    • ffprobe
    • yt-dlp

    Managed tools are cached for reuse. On macOS, that typically lands under:

    ~/Library/Caches/mkreel/bin/

    This setup is quiet by default and only shows raw details when --debug is enabled.

    AI Provider Detection And Fallback

    AI is optional. The direct clipping/rendering path does not require codex or claude.

    When you use --smart, suggest, or package, mkreel checks available providers in this order:

    1. codex
    2. claude

    For a provider to be considered ready, mkreel verifies that:

    • the CLI is installed
    • its non-interactive structured-output mode is available
    • the user is signed in

    If --ai auto is used, mkreel picks the first ready provider. If a provider fails during the request, mkreel can fall through to the next available provider in auto mode.

    All AI responses are parsed as JSON, validated with zod, normalized, and checked again against mkreel's supported values. AI cannot inject raw ffmpeg flags, shell fragments, or arbitrary rendering directives.

    Reel Mode

    When --mode reel is selected, mkreel exports a 1080x1920 MP4 with:

    • blurred background fill
    • centered foreground video
    • preserved audio

    The default vertical layout is based on:

    [0:v]split=2[bgsrc][fgsrc];
    [bgsrc]scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,boxblur=20:10[bg];
    [fgsrc]scale=1080:-2:force_original_aspect_ratio=decrease[fg];
    [bg][fg]overlay=(W-w)/2:(H-h)/2

    Subtitle Behavior

    If subtitles are enabled, mkreel:

    1. Detects English manual captions first
    2. Falls back to automatic English captions when available
    3. Downloads subtitles as SRT
    4. Shifts timestamps backward so the selected clip starts at 00:00:00
    5. Clamps negative times safely
    6. Removes cue overlap so captions stay readable
    7. Drops invalid cues
    8. Renumbers cues from 1
    9. Burns subtitles into the final export with a styled ASS track

    Default styling includes white text, black outline, bold creator captions by default, and preset-specific outline tuning.

    Output Naming

    Generated filenames are deterministic and based on:

    • video title
    • clip start
    • clip end
    • output mode
    • subtitle status

    Example:

    video-title-08m43s-11m38s-reel-subbed.mp4

    If the path already exists, mkreel automatically adds a numeric suffix.

    Troubleshooting

    Tool setup failed

    Run with:

    mkreel <url> --debug

    No subtitles available

    Interactive runs offer to continue without subtitles.

    For non-interactive runs:

    --subs skip

    End time is before start time

    mkreel validates the range before running the pipeline and exits with a clear message.

    A run failed mid-pipeline

    On failures, mkreel preserves the temp workspace path so you can inspect:

    • downloaded media
    • subtitle files
    • intermediate outputs

    Development

    npm install
    npm run typecheck
    npm run build
    npm test
    npm run dev -- --help

    Local Development Usage

    npm run dev -- "https://www.youtube.com/watch?v=YOUR_VIDEO_ID"

    Or build and run the compiled CLI:

    npm run build
    node dist/cli.js --help