Features Built For Post Teams

Stamp cleaner metadata, rebuild timelines faster, and keep handoff confidence high from first conform to final delivery.

Accurate LTC Metadata

Inject Broadcast WAV-compliant start timecode metadata without touching audio samples.

Flexible Batch Matching

Use filename tokens or regex patterns to quickly align large stem sets.

Timeline Rebuild Tools

Turn Resolve-style exports into clean, practical FCPXML timelines for editorial.

Audit-Ready Outputs

Generate traceable CSV logs so assistants and mixers can verify every critical step.

LTC Timestamping Deep Dive

Precision controls for teams handling mixed LTC quality, varied frame rates, and high-volume stem batches.

Decode + Reference Controls

  • Choose anchor sources for each batch run.
  • Set frame-rate assumptions for stable start references.
  • Review candidate matches before writing metadata.
  • Keep sample data untouched while updating timing fields.

Outputs + Verification

  • Write compliant bext and iXML timing metadata.
  • Run quick verification passes on stamped outputs.
  • Export CSV run logs for assistant/editor review.
  • Spot-check files before conform or archive delivery.

Metadata Scenarios

Single

Choose one LTC lane and stamp synced timecode across all 5 stacked tracks.

Before
CH01No TC
CH02No TC
CH03No TC
CH04No TC
LTCNo TC
Select LTC
After
CH0101:12:43:08
CH0201:12:43:08
CH0301:12:43:08
CH0401:12:43:08
LTC01:12:43:08
Grouped

Select the bottom LTC channel once and stamp aligned regions across the channel matrix.

Before
CH01No TCNo TC
CH02No TCNo TC
CH03No TCNo TC
CH04No TCNo TC
LTCNo TCNo TC
Select LTC Row
After
CH0101:12:58:0701:12:21:13
CH0201:12:58:0701:12:21:13
CH0301:12:58:0701:12:21:13
CH0401:12:58:0701:12:21:13
LTC01:12:58:0701:12:21:13
LTC Detect

Detect cuts in LTC and split one music WAV into timestamped regions automatically.

Before
MUSIC.wav
No TC
LTC.wav
No TC
Detect Cuts
After
MUSIC Regions
LTC source retained for reference

Timeline Rebuild Deep Dive

Structure and normalize timeline data so editorial imports are cleaner and easier to troubleshoot.

Rebuild Mechanics

  • Interpret source XML structure and clip relationships.
  • Map clips against normalized timing references.
  • Resolve common naming mismatches during reconstruction.
  • Generate practical FCPXML outputs for downstream teams.

Risk Reduction

  • Catch potential import issues earlier in the handoff chain.
  • Reduce manual cleanup after conform stage begins.
  • Provide audit artifacts for team-wide traceability.
  • Support repeatable workflows across episodic or long-form jobs.

Example: Timeline Rebuild

Before
Timeline Source
Video Clips + Multicam
Stereo Mix WAV
Full-length guide mix
Folder: Timecoded Audio Files
Rebuild Engine
After
V1
A1 (Stereo Mix)
A2 (Timecoded Files)
A2 regions align vertically with V1 cuts

How The Workflow Runs

Built for real post pipelines: ingest, verify, stamp, and hand off with clear checkpoints at each stage.

1. Scan Inputs

Analyze selected folders, detect anchor LTC files, and read existing metadata before changes.

2. Match Stems

Apply token or regex matching to align dependent files with each reference source.

3. Stamp Metadata

Write bext and iXML timing info while preserving original sample data.

4. Validate & Export

Generate logs and delivery artifacts for editorial, mix, and archive handoffs.

Capability Breakdown

Granular controls for technical teams that need repeatable outcomes across varied session structures.

Area
What You Configure
Result
LTC Decode
Anchor source and frame-rate assumptions
Consistent start-time references across stem sets
Batch Match
Token mode, regex mode, and inclusion filters
Faster targeting with less manual relinking
Metadata Write
Output path, overwrite rules, and stamp fields
Broadcast-ready files with intact audio
Timeline Rebuild
Source XML and clip mapping strategy
Cleaner import behavior in editorial timelines
Validation
CSV exports and post-run verification checks
Auditable trail for assistants and mixers

Production Scenarios

Practical examples of where teams typically gain speed and reduce risk.

Assistant Editor Prep

Normalize metadata across delivery folders before handoff so relinks are predictable in conform.

Dialogue + FX Stems

Batch-align dense stem collections from mixed naming schemes using regex-based match groups.

Final Delivery Audit

Generate validation logs and confirm every exported file reports the expected start reference.

Supports dense multi-stem sessions

Designed to cut prep time per project

Local-first processing on macOS

Local-First

No cloud media processing for core workflows.

Operational Speed

Designed for repeatable runs under schedule pressure.

Verification Mindset

Audit logs and outputs make QA practical, not optional.

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