I. Why Restaurants Need Food Short Videos
According to Xinhua News Agency, AI technology is shifting from an optional to an essential tool for restaurants—mainly for these reasons:
First: Platform traffic is shifting toward video (Douyin/Xiaohongshu/Bilibili)
In 2026, algorithm recommendations on major consumer decision-making platforms clearly favor short video content. A newly opened restaurant that only displays static images faces customer acquisition costs 3–5 times higher than a purely text-and-image approach. Food short videos significantly boost user dwell time and conversion rates through visual impact and dynamic presentation.
Second: Traditional filming is expensive and inefficient
Professional food photography teams charge approximately 3,000–8,000 yuan per day (including photographer, lighting technician, and post-production editor), and a single shoot typically produces only 5–10 finished videos. For restaurant chain brands that need to update 20–30 dish assets monthly, annual filming costs can reach 150,000–300,000 yuan.
II. How AI Lowers the Production Barrier
First: Generate high-quality visuals without a professional studio
Use Midjourney or GPT image generation to create dish concept images—prompt template example: "Professional food photography of Sichuan hot pot, steam rising from the broth, vibrant red chili oil surface, dramatic side lighting, shallow depth of field --ar 9:16." Then use LTX-2.3/SeeDance models to convert static images into dynamic videos, adding effects like rising steam, bubbling broth, and ingredients dropping into the pot.
Take a Shanghai hot pot chain as an example: the brand completed AI production for all 84 dishes in 2025—including 28 spicy broth varieties, 16 mild broth varieties, and 40 side dish assortments. Traditional filming would have required 3 studio workdays at approximately 25,000 yuan. With the AIGC approach, from generation to final delivery took 5 days, with total costs kept under 8,000 yuan.
Second: AI voiceover and automatic subtitle generation
Food short videos typically need narrations introducing dish features, ingredient origins, and cooking techniques. Tools like Qwen-TTS or Doubao TTS can generate natural, fluent Chinese voiceovers with multiple voice style options (e.g., enthusiastic for promotional videos, refined and intellectual for brand story pieces). Combined with CapCut's subtitle recognition feature, the entire post-production workflow can be completed in 2 hours.
Third: One-click export for multi-platform versions
Restaurants typically need to publish content simultaneously across Douyin, Xiaohongshu, Bilibili, and other platforms. AI tools can automatically generate adapted versions for different platform size requirements—Douyin 9:16 vertical (1080×1920), Xiaohongshu 4:3 square (1080×1350), and Bilibili 16:9 horizontal (1920×1080). What traditionally required an editor to manually adjust three times can now be batch-exported by AI in minutes.
III. Production Cost Reference
Basic (single 30–60 second dish showcase video): 500–1,500 yuan per video
Pure AI generation approach, including static-to-dynamic conversion plus standard voiceover and music. Suitable for social media account daily updates and new product launches.
Standard (single 90–120 second brand promo): 3,000–8,000 yuan per video
Hybrid workflow approach, including professional scriptwriting, AI special effects animation, and post-production color grading and packaging. Suitable for store openings and holiday promotions.
Premium Custom (single 5–10 minute brand documentary episode): 20,000–50,000 yuan per video
Combines real footage with AI-enhanced effects for cinematic quality. Suitable for annual brand films and large event opening videos.
IV. Technical Limitations to Note
First, AI-generated food visuals may have detail inaccuracies—such as unnatural ingredient textures or lighting inconsistencies. For commercial use, it's recommended to composite with real food photography in post-production. Second, dynamic effects currently work best with slow camera movements (like rising steam and bubbling broth); complex actions like quick stir-frying can cause visual distortions. Third, any frames containing brand logos and packaging designs must ensure copyright compliance.
V. Recommended Workflow
Step 1: Compile the dish list and core selling points (flavor features/ingredient sources/cooking techniques). Step 2: Use AI tools to generate the base scene framework and manually refine key details. Step 3: Import into editing software to add dynamic camera movements, voiceover narration, and brand logo watermarks. Step 4: Export multi-platform adapted versions and publish simultaneously.
