wjs-syncing-multicam
Compute a single time offset for each multi-source recording of the same event using audio cross-correlation, and emit a
sidecar next to each original.
Originals are never modified, copied, or re-encoded. Downstream tools use
to apply the offset at consume time.
Design principle — sidecar over re-encode
Earlier versions of this skill produced
files by trimming + re-encoding to bake the offset into the file. We removed that:
- Disk — a 75-min 4K shoot from 3 cameras is 60+ GB. Re-encoded synced copies double that for no information gain.
- Quality — every re-encode is lossy. The originals are the source of truth; sidecars are reversible metadata.
- Speed — generation took 10+ min per file on Apple Silicon; sidecar emission takes seconds.
- Composability — any downstream tool (autoedit.py, NLE import, ffmpeg one-liners) reads the sidecar and applies the offset itself. No tool-specific file format lock-in.
When NOT to use
- Single-camera footage — nothing to sync to. For splitting one source into clips, use video-segmentation.
- Sources already aligned in an NLE timeline — don't fight the editor.
- For the auto-edit / cut / PiP rendering step that comes AFTER sync, use wjs-editing-multicam (consumes these sidecars).
Why envelope-based, not raw waveform
Raw PCM cross-correlation gives weak peaks and false matches when the two mics have different gain / room response — i.e., almost always with a secondary cam. The log-energy envelope captures dialogue and music dynamics, which both mics hear regardless of frequency response. Don't skip the envelope step — it's the entire reason this skill is robust at low SNR.
Algorithm
- Extract mono PCM at 8 kHz, 16-bit from each input.
- Log-energy envelope at 100 Hz (10 ms hop, 50 ms window). High-pass with a 2nd-order Butterworth, 0.05 Hz cutoff, filtfilt — removes slow drift and gain offsets.
- FFT cross-correlate envelopes end-to-end → coarse offset (~10 ms).
- Refine at sample level with a 60 s probe from B near the coarse-aligned position in A, ±2 s search window, parabolic peak interpolation.
- Multi-probe drift check — repeat step 4 every ~3 min. Linear fit
delta(t) = slope·t + intercept
reveals real clock drift (5–50 ppm typical). Use the midpoint-canonical offset (slope · midpoint + intercept
) so residual error is symmetric around zero.
- Compute overlap window in the reference timeline:
overlap = [max(0, delta), min(ref_dur, delta + src_dur)]
.
- Emit sidecar next to each non-reference input. No file is copied, trimmed, or re-encoded. The reference input gets a sidecar too (with ) so downstream code can treat all inputs uniformly.
is the implementation.
Note: the current script still emits
files alongside the sidecar — that path is deprecated; the sidecar is the only authoritative output.
Sidecar schema ()
One sidecar per original input, written next to it. Pure JSON, no comments in-file — the field reference below is canonical.
json
{
"_about": "Sync metadata for cam_b.MOV. Apply via ffmpeg -itsoffset. See wjs-syncing-multicam SKILL.md for full schema.",
"schema_version": 1,
"source": "cam_b.MOV",
"reference": "cam_a.MOV",
"delta_seconds": 12.345,
"drift_slope": 1.8e-5,
"overlap_in_reference": [12.345, 4512.180],
"overlap_in_source": [0.000, 4499.835],
"verification": {
"median_residual_ms": 4.2,
"residual_spread_ms": 11.8,
"probe_count": 24
}
}
Field reference
| Field | Type | Meaning |
|---|
| string | Human-readable one-liner. Includes pointer back to this SKILL.md. Always present. |
| int | Bumps on any breaking change to this schema. Current: . |
| string | Filename of the original this sidecar describes. Relative to the sidecar's directory. Never points to a re-encoded file. |
| string | The input whose timeline we're aligned to. Reference's own sidecar lists itself here. |
| float | The source's expressed in the reference's timeline. If positive, source starts after reference; pass to ffmpeg as . Can be negative (source starts before reference, e.g. early-rolling camera). |
| float | Linear clock-drift slope (dimensionless, ~10⁻⁵). means no measurable drift. Downstream applies to the source ONLY for sync-sound / long-form lip-sync — for camera-cut editing, ignore. |
| (seconds) | The window during which both source and reference have coverage, expressed in the reference's timeline. Use this to trim outputs to mutually-valid time ranges. |
| (seconds) | Same window expressed in the source's local timeline. overlap_in_reference[0] - delta_seconds = overlap_in_source[0]
. |
| object | Output of running verify.py — drives a "did sync converge?" gate. should be a few ms; > 1 frame at delivery fps means drift correction was needed but skipped. |
How downstream consumes the sidecar
is per-input in ffmpeg and applies BEFORE
. Always read the source's
from the sidecar:
bash
# Play cam_b aligned to cam_a's timeline
ffmpeg -itsoffset $(jq -r .delta_seconds cam_b.MOV.sync.json) -i cam_b.MOV \
-i cam_a.MOV \
-filter_complex "[0:v][1:v]hstack" out.mp4
# Trim to mutual overlap window (read from cam_b.MOV.sync.json)
ffmpeg -ss <overlap_in_source[0]> -i cam_b.MOV -t <overlap_dur> ...
For
, the EDL builder in
ingests every
automatically; you don't compose these flags by hand.
Partial-coverage clips
Common case — main cams cover 75 min, a Riverside / phone / lavalier recorder only covers the middle 30 min.
scripts/sync_partial.py REF.MOV NEW.mp4
:
- Cross-correlates the new input against the reference.
- Finds where the new clip's sits in the reference timeline ( may be large, e.g. 1842.5).
- Writes the sidecar — that's it. No black padding, no audio padding, no re-encode. tells consumers exactly when this input has coverage; outside that window, fall back to the main cams.
flag is meaningful only for hinting downstream that this source has no video stream — there's no encoding step to skip anymore.
When to skip drift correction
For camera-cut editing (the common case), ±25 ms residual across an hour is below human perception — pass
and use only the midpoint
.
For sync-sound / lip-sync at long durations (>30 min and
verification.residual_spread_ms > 40
), downstream applies
to the source. Source files are still not modified — the
filter runs at consume time.
Verification (always run)
scripts/verify.py REF.MOV SRC.MOV SRC.sync.json
re-extracts audio from BOTH originals (with
applied to the source per the sidecar) and runs multi-probe correlation again. Writes results back into the sidecar's
field.
Pass criteria —
and
residual_spread_ms < 1 frame at delivery fps
. Fail = retry with drift correction enabled.
Common pitfalls
- Raw waveform cross-correlation gives false peaks under low SNR. Always envelope first — this is not a tunable, it's the entire premise.
- semantics differ for audio vs video — for sync-correctness it must be the FIRST flag for that input.
ffmpeg -i src -itsoffset X
is wrong; ffmpeg -itsoffset X -i src
is right.
- Sidecar paths must be relative to the sidecar file's directory, not the working directory of the consuming process. Resolve / against .
- Don't bake into the sidecar's . They're separate fields for a reason — naive consumers can ignore drift, sync-sound consumers can apply it. Mixing them loses information.