autoneat 0.2.2

Standalone Neat Video Auto Profile automation for DaVinci Resolve

autoneat

Standalone Neat Video Pro 6 Auto Profile automation for DaVinci Resolve.

Neat Video has no public scripting API for Auto Profile. autoneat scripts the parts Resolve exposes, then uses macOS window automation plus Apple Vision OCR for the two controls Neat does not expose: Auto Profile and Apply.

Install

python3 -m pip install autoneat

DaVinci Resolve Studio, Neat Video Pro 6, and macOS Accessibility / Screen Recording permissions are required. Run:

autoneat doctor

CLI

Run against the current Resolve project/timeline:

autoneat profile --state artifacts/neat/state.json

Run against a specific project/timeline and shot filter:

autoneat profile \
  --project "My Show" \
  --timeline "My Show_Neat" \
  --shot-ids 001,002,003 \
  --state artifacts/neat/state.json

Important options:

• --continue resumes from the state JSON.
• --retry-failed retries previously failed clips when resuming.
• --all-tracks processes all video tracks instead of --track 1.
• --no-color-wrap skips the ACES/HDR ColorSpaceTransform wrapper.
• --json prints the final summary object after the live log.

Python API

from autoneat import ProfileOptions, run_profile

result = run_profile(
    ProfileOptions(
        project_name="My Show",
        timeline_name="My Show_Neat",
        shot_ids=["001", "002"],
    )
)

How It Works

For each selected timeline clip, autoneat:

1. Moves the Resolve playhead to the clip.
2. Adds or reuses the Neat Video OFX node.
3. Wraps ACES/HDR clips with ColorSpaceTransform nodes so Neat sees display-referred pixels.
4. Opens Neat via the OFX Prepare Profile___ button control.
5. OCR-clicks Auto Profile, waits for readiness, then OCR-clicks Apply.
6. Writes a state JSON after every clip for resumable batches.

Development

python3 -m venv .venv
./.venv/bin/python -m pip install -e ".[test]"
./.venv/bin/python -m pytest

License

MIT.