stitch-videos-ffmpeg

Stitch video segments with ffmpeg concat, xfade, overlay, audio mux, and export settings. Ships montage.py, a free montage assembler (python3 + ffmpeg, no keys). It takes a JSON EDL of clips and stills, normalizes them and hard-cuts them in order, burns captions from an SRT, a cue list or word timings, and lays a VO over a music bed that ducks under it, mastered to -14 LUFS.

Quality

83%

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stitch-videos-ffmpeg

Purpose

Stitch video segments with ffmpeg concat, xfade, overlay, audio mux, and export settings.

Implementation status: refactored from existing repository skills. The workflow consolidates behavior that previously lived across larger skills.

Sources: ad-studio, voiceover-product-ad, ugc-product-video, voiceless-music-transformation-reel, product-stopmotion-ad.

Extraction notes: assembly and composite scripts.

Montage helper: `scripts/montage.py`

A free, deterministic way to cut a montage ad from finished clips. It needs python3 and ffmpeg/ffprobe only (Pillow is optional, see Captions). It makes no network or provider calls and needs no keys, so re-cuts cost nothing.

Step	What it does
`edl`	Checks a JSON spec and writes `edl.json`. Every file must exist and is probed with ffprobe; every cut must fit inside its clip. All problems are listed at once.
`assemble`	Scales each cut to one size (default 1080×1920, `cover` crops to fill, `contain` pads), one frame rate (default 30), square pixels and yuv420p. Then it hard-cuts them in order with the `filter_complex` concat filter, never the `-f concat` demuxer. Each cut gets an exact frame count, so the output length equals the EDL total.
`captions`	Burns an SRT, a JSON cue list, or word timings (one cue per `--per` words) into the video. The cue text is kept exactly as given (wrapping only turns spaces into line breaks).
`mix`	Lays the VO over the video and adds an optional music bed that ducks under the VO (sidechain compression, 20:1). Then it masters to -14 LUFS / -1 dBTP with two-pass loudnorm.
`run`	Runs all four steps from one spec and writes `manifest.json`.

Each step prints a one-line JSON summary. Exit codes: 0 ok, 1 ffmpeg failed, 2 bad spec or arguments, 3 a tool is missing (ffmpeg, ffprobe, or a caption renderer).

Run it

After gooseworks fetch stitch-videos-ffmpeg (or as a dependency of a format package), the scripts are in /tmp/gooseworks-scripts/stitch-videos-ffmpeg/scripts/:

S=/tmp/gooseworks-scripts/stitch-videos-ffmpeg/scripts   # or this folder's scripts/ in a checkout

python3 $S/montage.py run --spec montage.json --out edits/master.mp4 --workdir edits/work

# or one step at a time
python3 $S/montage.py edl      --spec montage.json --out edits/edl.json
python3 $S/montage.py assemble --edl edits/edl.json --out edits/body.mp4
python3 $S/montage.py captions --video edits/body.mp4 --words audio/vo.words.json \
    --respell '{"symbiotic": "synbiotic"}' --color "#FFE800" --out edits/captioned.mp4
python3 $S/montage.py mix      --video edits/captioned.mp4 --vo audio/vo.mp3 \
    --music audio/bed.mp3 --out edits/master.mp4

Spec format

Paths are relative to the spec file. Times are seconds or a timecode string ("SS", "MM:SS", "HH:MM:SS", optional .ms).

{
  "output": {"width": 1080, "height": 1920, "fps": 30, "fit": "cover"},
  "words": "audio/vo.words.json",
  "clips": [
    {"file": "clips/scene-01.mp4", "label": "hook", "word_range": [0, 4]},
    {"file": "clips/scene-02.mp4", "label": "feature", "in": 0.2, "out": 1.6},
    {"file": "clips/scene-03.mp4", "label": "reaction", "in": "00:00.5", "duration": 0.9},
    {"file": "clips/scene-04.mp4", "label": "b-roll", "t_in": 4.1, "t_out": 5.0},
    {"file": "clips/scene-05.mp4"},
    {"file": "overlays/landing-page.png", "label": "landing-page", "duration": 1.5,
     "pan": {"from": {"x": 0.5, "y": 0.2, "zoom": 1.0}, "to": {"x": 0.5, "y": 0.7, "zoom": 1.6}}},
    {"file": "brand/end-card.png", "label": "end-card", "duration": 2.0}
  ],
  "clip_audio": "drop",
  "captions": {"words": "audio/vo.words.json", "per": 1, "respell": {"symbiotic": "synbiotic"},
               "style": {"color": "#FFE800", "y": 0.5}},
  "audio": {"vo": "audio/vo.mp3", "music": "audio/bed.mp3", "music_start": 14.2}
}

How long each cut is (first match wins):

word_range: [i, j] cuts on the VO's word boundaries. It needs a top-level words file, used as the transcriber wrote it: a flat [{text|word, start, end}] list, {words: [...]} (OpenAI, ElevenLabs; spacing entries are skipped), Whisper's {segments: [{words: [...]}]} (goose-studio's transcribe-audio-fal), or fal's {chunks: [{text, timestamp: [s, e]}]}. Words with no time are skipped, and leading spaces are stripped. The cut runs from the start of word i to the start of word j + 1, or to the last word's end. The first cut starts at 0 so it covers the lead-in. Consecutive ranges tile the VO with no gaps.
t_in / t_out give a window on the timeline. The cut is t_out - t_in long. A window that does not start where the previous cut ended is reported as a gap or overlap warning; --strict turns warnings into errors.
in + out, or in + duration, trim the source clip.
With nothing set, the whole clip plays (from in, default 0).

Every cut starts at in in its source (default 0). A still image (.png, .jpg, .webp) needs a length; pan zooms and pans across it. The still is first cover-cropped to the output aspect (9:16 by default), and x/y are the window centre as a fraction of that cropped image (zoom ≥ 1). A video clip may be up to 0.1 s short of its cut, and then its last frame is held. Anything shorter is an error.

clip_audio (--clip-audio on assemble): drop (default) or keep. keep keeps each clip's own sound and fills silence under stills and silent clips.

Captions

Sources: srt, cues (a list or a JSON file of {start, end, text}), or words (any of the word-file shapes above) plus per and an optional respell map. respell swaps a misheard word for the locked spelling and keeps the punctuation around it. Overlapping cues: the later one wins.
Look: each cue is drawn whole, in one colour with an outline. With per: 1 that is one word at a time, each held until the next. There is no active-word (karaoke) highlight.
Timing: a cue shows from the first output frame at or after its start until the first frame at or after its end (a 1 ms caption grid; ffmpeg older than 5 falls back to 1/25 s and says so in the step's warnings).
Style: font, font_size (px, default 4.5% of the height), color, outline_color, outline (px), y (centre of the caption block as a fraction of the height, default 0.72) and max_width (default 0.86 of the width).
Renderers: auto uses Pillow when it is installed, so captions look the same on every machine. Otherwise it uses libass, which needs an ffmpeg with the ass filter. Homebrew's default ffmpeg has no libass and no drawtext, so on a Mac run python3 -m pip install pillow. With neither, the step exits 3 and says so.

Mix defaults (all overridable)

Setting	Default	Meaning
`vo_lufs`	-16	VO level before mixing (static gain from a measured pass)
`music_lufs`	-24	Bed level between VO lines, before ducking
`duck_threshold` / `duck_ratio`	0.02 / 20	The bed ducks while the VO is above the threshold. ffmpeg caps the ratio at 20.
`duck_attack` / `duck_release`	20 / 400 ms	How fast the bed dips and comes back
`vo_start`, `music_start`	0	Where each track enters on the timeline. `vo_start` moves only the VO audio, not `word_range` cuts or word captions, so keep it 0 when those come from the same VO.
`music_fade_in` / `music_fade_out`	0 / 1 s	A bed shorter than the video loops (with a warning)
`target_lufs` / `target_tp`	-14 / -1	Master loudness. `off` skips it.
`keep_video_audio`	false	Mix the video's own audio in too (not ducked)

A VO that runs past the end of the video is cut and reported as a warning, so lengthen the EDL (for example, the end card) instead.

Tests

tests/test_stitch_montage.py makes tiny synthetic clips, a still and two tones with ffmpeg, then checks: the output length equals the EDL total to the frame, size/fps/pixel shape are normalized, captions appear only on their cue frames with the exact text, the bed ducks under the VO (about 14 dB on the fixture), and the master is at -14 ±1 LUFS. It runs in CI (media-tests) and locally:

python3 -m pytest -q skills/ads/packs/video-ad-formats/stitch-videos-ffmpeg/tests

The older scripts here (composite.py, composite_final.py / .sh, normalize_clip.sh, voiceless/composite.py) are unchanged.
mix-master remains the multi-clip VO + SFX mix. A montage.py master is already at -14 LUFS, so a later -14 LUFS finishing pass barely changes it.
caption-burn remains the place for plate, seam and hook-card caption styles.

Inputs

A clear user brief or source asset path.
Brand, product, audience, platform, and approval constraints when relevant.
Required credentials or provider access for any external service used by this skill.
Output directory or test-run directory where artifacts should be saved.

Workflow

Read the brief and confirm all required inputs are present.
Load any referenced files in this skill folder only when they are needed.
Run the provider, script, or planning workflow described by this skill.
Save outputs under the requested output folder or skills/test-runs/<timestamp>/<skill-name>/ during tests.
Write or update a manifest.json for executable runs with status, provider, outputs, warnings, and errors.

Output

Primary artifact or written plan requested by the skill.
manifest.json for executable runs.
verification.md or a short verification summary that names the checks performed.
Any generated source assets, intermediate files, or final exports in the run folder.

Quality Checks

Required files exist and paths in the manifest are valid.
Output matches the requested format, platform, duration, dimensions, or text structure.
Brand claims, captions, on-screen text, and CTAs follow the provided brand rules.
Provider failures, skipped integrations, and human-review needs are explicit.

Failure Modes

Missing credentials, provider access, or source files.
Output does not match requested dimensions, duration, structure, or brand constraints.
Generated media contains artifacts, unreadable text, unsafe claims, or caption collisions.
Scaffolded skills cannot run production workflows until implementation details are added.

Repository: gooseworks-ai/goose-skills
Path: skills/ads/packs/video-ad-formats/stitch-videos-ffmpeg/SKILL.md
Commit: cc3e518

Last updated: 1 day ago
First committed: 3 months ago

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