AiTiger

What

AiTiger is an AI video creation platform that turns short story outlines into share-ready videos with visuals, characters, narration, and subtitles. It appears to serve individual creators as well as brands and agencies that need faster video production without building everything manually.

The product supports a guided workflow from story setup and visual style selection through character creation, scene and shot generation, timeline editing, and final rendering. AiTiger also offers a premium B2B service where its internal team produces custom AI-generated videos such as ad films, explainers, brand films, and commercials, positioning it as both a self-serve creation tool and a managed production option.

Features

• Story-to-video generation: Users can start with a title, genre, location, and short outline, and the platform converts that input into structured scenes and video shots.
• Visual style and format controls: AiTiger lets users choose styles such as real-life, animated, Pixar-like, or cartoon, along with aspect ratios like 16:9 and 9:16 for different publishing contexts.
• AI character creation and customization: The platform auto-generates characters from the story and allows users to adjust appearance, outfits, or personality details for better alignment with the concept.
• Built-in editing timeline: A multi-track editor supports trimming clips, swapping shots, and refining timing, which adds manual control after AI generation.
• Narration support: Final videos can include AI narration in English or Hindi, which is useful for faster production of explainers, story videos, and promotional content.
• Flexible delivery models: In addition to subscription and credit-based self-serve access, AiTiger offers an enterprise plan with team features and a managed B2B production service for ready-to-publish videos.

Helpful Tips

• Test output consistency early: Since the site notes that results may vary depending on prompts and usage, teams should validate style consistency, scene quality, and narration quality with a small pilot before scaling production.
• Use the managed service for campaign-critical work: Brands and agencies with strict quality or deadline requirements may find the B2B production model more predictable than relying only on self-serve generation.
• Plan prompt and storyboard standards: For repeatable output, especially across teams, it is useful to define templates for story briefs, character descriptions, aspect ratios, and shot structures.
• Review publishing risk internally: The company states that users are responsible for compliance with laws, platform guidelines, and copyright regulations, so legal and marketing review remains important before distribution.
• Match plan choice to production volume: The platform uses credits and estimated video duration, so buyers should assess expected generation, revision, and experimentation needs rather than only looking at headline plan names.

OpenClaw Skills

AiTiger could fit well into the OpenClaw ecosystem as a likely downstream content-generation engine for creative and marketing workflows. Likely OpenClaw skills could include a campaign brief interpreter that converts product messaging into story outlines, a storyboard planner that prepares scene structures for AiTiger, and a publishing-prep agent that generates titles, subtitles, metadata, and channel-specific packaging around finished videos.

For agencies, ecommerce teams, travel marketers, and product storytellers, this combination could reduce the manual gap between idea, script, production, and distribution. While the page does not confirm a native OpenClaw integration, a likely use case would be an end-to-end workflow where OpenClaw agents gather brand inputs, create structured prompts, route projects into AiTiger for generation, then return outputs for review, localization, and performance testing across ad and social channels.