Kling vs Seedance: How Their Prompts Differ

Short answer: Seedance wants dense timestamped segments ([0-3s], [3-8s]) with a big character budget and responds well to Chinese; Kling wants labeled shots (Shot 1, Shot 2) in a tighter limit with explicit camera and dialogue per shot. Same video, two different prompt shapes — OpenRevo analyzes the video once and exports a correctly-formatted prompt for each.

The comparison

SeedanceKling
Prompt structureTimestamped segments covering the full clipNumbered shots (Shot 1, Shot 2…)
Practical lengthLarge budget; long clips split into sectionsTighter — prioritize action and dialogue
DialogueInline with timestamps, quotedPer shot, with speaker and tone
LanguageEnglish or native Chinese (often better)English
Camera languageTags per segment: (WIDE), (CU), (TRACKING)Explicit movement sentences per shot
StrengthsLong one-take clips, audio sync, fast-cut fidelityMulti-shot narrative, physics, character acting

What stays the same on both

One video, both prompts

Rather than maintaining two hand-written prompts, analyze the source video once in OpenRevo. The analysis (scenes, verbatim dialogue, camera, lighting, sound) is platform-neutral; the Export tab formats it per generator — Seedance (English or Chinese), Kling, Google Veo, and MiniMax — each within its own limits. Edit once (swap a character, replace a brand name) and every export reflects it.

Which should you use?

If your source is a fast-cut ad or trend clip with audio doing heavy lifting: start with Seedance. If it's a multi-scene mini-story with character acting: start with Kling. Testing both costs one copy-paste each — the analysis is already done.

Analyze a video free and export both →