OpenTimelineIO

Editorial exports an EDL from Avid.

A Python script uses OTIO to read the EDL.

The script extracts clip names and timecode ranges.

OTIO metadata is queried to find the source camera files.

The script automatically creates shot entries in a tracking system like ShotGrid.

Export Premiere XML from the source project.

Run the project through the OTIO converter.

OTIO preserves the metadata markers and transition logic.

Export the OTIO object to a format compatible with Resolve.

Import into Resolve with structural integrity intact.

AI engine generates a series of video clips based on a script.

The engine outputs an OTIO JSON file defining the sequence of these clips.

The OTIO file includes AI-generated markers for 'pacing' or 'action points'.

An editor opens the OTIO file in their NLE of choice for final polish.

The server generates an OTIO representation of the master timeline.

A web-based viewer (e.g., opentimelineio-view-browser) loads the OTIO JSON.

The viewer uses the OTIO data to enable frame-accurate seeking and cut-point visualization.

Comments made in the browser are saved as OTIO markers.

Load the offline editorial OTIO and the online conform OTIO.

Run a comparison script using the OTIO API.

Identify discrepancies in frame duration or clip order.

Generate a report highlighting problematic areas for the conform artist.