Video Editing Automation

Automation for
video editing and
video production

From transcription and subtitles to batch export and AI-assisted editing. See which parts of a modern post-production workflow can be automated reliably today.

Automation pipeline
01
Source media
import
02
Analysis
speech · pauses · scenes
03
Edit
rough assembly
04
Titles
captions · graphics
05
B-Roll
contextual inserts
06
Export
formats · platforms
Result
finished video, faster
captions, graphics, export and publishing prep without repeating the same manual steps
Save production time
reduce repetitive work
Less routine
more time for editorial work
Consistent output
repeatable production standards
Scale content
handle more releases with the same workflow

How the workflow is automated

Source media

Import and organize the media pool

Manual workflow
30 min
AI
2 min

Audio analysis

Transcription, pause detection and voice cleanup

Manual workflow
60 min
AI
5 min

Rough edit

Build an initial cut from transcript and scene structure

Manual workflow
180 min
AI
30 min

Captions & titles

Subtitles, timestamps and title preparation

Manual workflow
60 min
AI
5 min

Graphics & B-roll

B-roll suggestions, infographics and motion graphics

Manual workflow
90 min
AI
5 min

Export

Batch delivery for required formats and platforms

Manual workflow
30 min
AI
15 min

Publishing prep

Descriptions, chapters, thumbnails and publishing assets

Manual workflow
30 min
AI
2 min
Total for a 20-minute videoManual workflow: ~8 hoursAutomated workflow: ~2 hours

Example workflows and time savings

2-hour podcast

RAW: 45 GB
Manual workflow
8–12 hours
With automation
3–4 hours
Time saved: up to 70%

20-minute YouTube video

RAW: 10 GB
Manual workflow
3–4 hours
With automation
60–90 min
Time saved: up to 60%

Shorts / Reels

RAW: 2 GB
Manual workflow
40 min
With automation
10 min
Time saved: up to 75%

Automation for modern video production

From repetitive DaVinci Resolve actions to AI-assisted production: transcription, captions, B-roll, export and publishing preparation can be connected into one workflow.

What video-editing automation actually means

Video-editing automation moves repeatable operations from manual work into scripts, templates, AI-assisted modules and predefined workflows. In DaVinci Resolve this can include transcription, subtitle generation, pause detection, title preparation, batch export, media-pool organization and publishing assets.

How to automate a DaVinci Resolve workflow

In Resolve, useful automation usually combines project templates, Fusion macros, Python/Lua scripts, render presets and AI-assisted tools. The goal is not to remove editorial control, but to stop rebuilding the same captions, exports, markers and project structure every time.

Where AI can help

AI is most useful where a workflow needs to understand speech, scene context or the structure of an episode. It can prepare transcripts, identify semantic blocks, suggest B-roll positions, build a rough structure, help with YouTube chapters and draft publishing copy. Deterministic scripts then handle the precise repeatable operations.

How Lora AI fits into the workflow

Lora AI is designed as an intelligent layer above deterministic production tools. It can analyze media and decide which supported operations should run next — transcription, rough-cut preparation, subtitles, B-roll suggestions or export. That is why the automation section connects Scripts, Lora AI, Motion Engine, Fusion and Training into one production ecosystem.

Want to remove repetitive work from your editing workflow?

We can map the repetitive parts of your workflow and choose the tools that are actually worth automating.

Discuss your workflow →