LAS AI Operator Automates Viral Clip Editing from Raw Short Dramas

Why Ad Creative Production Bottlenecks at Hit Discovery and Scale

Pain point 1: Many episodes, hard to quickly locate true hit moments. File names and manual tags only indicate episode numbers; they cannot answer which conflict is strongest, which shot works as a hook, or where to leave a cliffhanger. A 100-episode short drama requires long manual viewing, and different editors' judgment of "highlights" can vary significantly.

💡 The Hit Material Editing Operator combines visual change detection with subtitle semantic understanding to parse plot, breaking video into analyzable shots and outputting shot importance ratings (S/A/B/C), hook scores for openings and endings, functional tags, and content descriptions — helping teams locate usable plot nodes faster.

Pain point 2: Ad placement relies on batch testing; single precision edits cannot meet material demand. The same drama usually needs continuous testing of different openings, plot combinations, pacing, and durations — requiring dozens of differentiated creatives, not just one finished cut. Traditional per-clip editing takes 30 minutes to 2 hours; as titles pile up, throughput and turnaround become bottlenecks.

💡 The operator accepts up to 100 videos per run and generates multiple proposals by target duration and count. Sequential mode preserves narrative integrity; jump-cut mode skips flat content to concentrate conflicts and reversals; highlight-front mode places 5–15 second high-energy segments at the start for rapid hook testing.

Pain point 3: Editing ≠ ready-to-run; cleaning and packaging still cause rework. Freeze frames, cross-episode duplicates, truncated dialogue, and swallowed endings degrade quality; ad packaging (title, prompt, corner mark, pre-roll, post-roll) also requires per-clip handling.

💡 The operator identifies and removes non-main content, and supports the three short-drama elements (title, prompt, corner mark), up to 20 pre-rolls and post-rolls, playback speed, target bitrate, and 9:16 horizontal-to-vertical conversion with letterboxing (no cropping) — moving clips straight from edit to unified delivery spec.

Four Core Capabilities: From Plot Understanding to Batch Output

1. From "fixed slicing" to plot understanding. The operator fuses shot-boundary detection via visual changes with subtitle semantic localization, then rates each shot S/A/B/C for importance, scores opening/ending hooks, assigns functional tags, and writes content descriptions. It judges a shot's narrative role rather than cutting at fixed intervals.

2. Sequential, jump-cut, and highlight-front modes, combinable by placement goals. Sequential mode keeps complete narrative; jump-cut mode drops flat sections to pack high-energy beats; highlight-front mode fronts 5–15 second peaks. Teams can rapidly generate varied plot combinations around one title to continuously test hooks and pacing.

3. Extends from plot editing to ad packaging. Beyond narrative assembly, the operator adds title/prompt/corner-mark triad, up to 20 pre/post-rolls, playback speed, target bitrate, and 9:16 conversion with letterboxing (preserves full frame).

4. Delivers finished clips plus structured artifacts simultaneously. On completion you receive video files, preview links, and the full storyboard, clips list, timeline, and script reconstruction. The once-computed shot ratings, hook scores, descriptions, and material timeline feed downstream retrieval, tagging, human review, and post-campaign analysis.

Two Real-World Demos: From Raw Episodes to Editable Creatives

Demo 1: Overseas Short Drama "Sense and Sensibility"

Input: Episodes 1 and 2 of the overseas short drama "Sense and Sensibility".

Output: Two edited creatives generated from the above episodes.

Demo 2: Domestic Short Drama "Mistaken Heiress: Ice-Cold Captain Spoils Me"

Input: Episodes 1 and 2 of the domestic short drama "Mistaken Heiress: Ice-Cold Captain Spoils Me".

Output: Two edited creatives generated from the above episodes.

Using raw episodes as input, the LAS Hit Material Editing Operator performed plot understanding, highlight localization, irrelevant footage removal, segment assembly, and final render — outputting two independently previewable creatives. In production, material count, playback speed, pre/post-rolls, and horizontal-to-vertical settings are tuned per requirement.

Customer Practice: Business Validation at Scale

Beyond functional demos, a top-tier client using LAS now supports 2,000+ creatives per day ; in sampled titles, hit-selection match rate reaches 70%+ ; the client's ad ROI improved 10x ; manual review rework dropped ~50% . (Note: data from specific client engagements, not directly tied to the two demo dramas; actual results vary by content, parameters, placement strategy, and workflow.)

Ready to Use: 3 Steps to First Batch of Placement Creatives

Step 1: Enable service and create API Key. After activating LAS-AI, go to LAS Console → Resource Management → API Key Management to create a key. Store the secret in environment variables, not in scripts or public docs.

Step 2: Prepare real business videos and initial parameters. For first validation, pick the first 10–20 free episodes covering main characters, core conflicts, and major reversals. Common placement creatives can start at 3–5 minutes; adjust sequential/jump-cut modes and output count based on results.

Step 3: Submit task and retrieve results. Configure video list, output TOS bucket, editing mode, target duration, and material count; call Submit to get a task_id, then Poll for status. On completion, fetch finished clips, preview links, shot analysis, and material timeline.

💡 First-try suggestion: Use 10–20 real episodes to generate 3–5 minute creatives with highlight-front enabled; confirm plot selection, then scale input volume and output count gradually.

• Input limits: Max 100 videos per request; each video 1 second to 10 minutes; total duration ≤ 2 hours; total size ≤ 10 GB. • Video requirements: MP4, MOV, AVI, MKV; all inputs must carry subtitles and share the same resolution. • Regions & storage: Currently Beijing and Shanghai; TOS input/output must meet official account, region, and permission rules. • Pricing: AI analysis of input video ¥1.5/min; output video synthesis ¥0.06/min. Example: 10 inputs × 3 min → 1 output × 1 min = ¥45.06 total.

From dozens of raw episodes to multiple testable placement creatives — now just one task submission. If your team still spends hours binge-watching, hunting hooks, and re-packaging, try running one real title through the operator for comparison.