Honestly, I get asked this question around 800 times a day. Every time I see it, I can’t help but sigh—you're asking the wrong question! AI video tools are evolving at rocket speed; what’s trending today might be obsolete next month. What’s even more frustrating is that those who obsess over “the best tool” often end up not producing a single video.
The real question you should be asking is: Why do I want to use AI to create videos?
There’s no absolute best tool; it’s all about finding what fits your “battlefield.” Are you looking to crank out 300 short videos daily for platform subsidies, or are you aiming to create a high-quality YouTube channel that attracts brand partnerships? The purpose makes all the difference.
âś…1. Assess the scenario before choosing your tools
Choosing a tool isn’t like shopping in a supermarket; it’s about equipping yourself for battle. You need to know what kind of fight you’re entering.
If you’re after “speed and excitement”—mass producing content, for instance. If your goal is to make money from TikTok or YouTube Shorts through ad revenue, you don’t need the “best” tool; you need a full automation setup.
Our team has tested this: Using tools like n8n or Yingdao RPA to connect ChatGPT for scriptwriting, Dreamina for image generation, and Kling for video intro/outro, one person can produce 500 videos in a day. That’s the real efficiency lever; no single tool can match that.
If your aim is “quality and revenue”—creating mid-length YouTube videos—this is currently the most lucrative path I see. With 2 million views, the ad revenue from mid-length videos can be up to 20 times that of short videos.
In this scenario, you need high-quality visuals and control. Right now, Dreamina and Kling are the two strongest domestic competitors.
💡 Dreamina: A product of ByteDance, it generates content at 3.2 times the industry average speed, and its understanding of Chinese prompts is impressively accurate—even handling dialect voiceovers.
đź’ˇ Kling: Produced by Kuaishou, it offers cinema-quality 1080P visuals with smooth character movements, making it perfect for narrative shorts.
If you're just looking to “copy the homework”—quickly analyze trending content, Gemini 2.5 Pro is a game-changer. It can analyze any YouTube video frame by frame, automatically generate scripts, break down pacing, and even reverse-engineer prompts, allowing you to “pixel-perfect mimic” hit videos.
âś… 2. Tools are evolving, and so should your strategy
This is the most mind-blowing point. With the advent of tools like Dreamina Seedance 2.0 and Kling 3.0, the barriers to entry for video creation have been flattened. And they’ll keep getting lower.
What does this mean?
It means that “software operators” will become less valuable—because these tools are so user-friendly that anyone can be trained to use them. Your anxiety about technology becoming less significant is real, but you’re looking in the wrong direction.
The real asset is shifting from “execution” to “taste and ideas.”
When AI can easily produce a standardized mediocre video, can you discern what makes a truly great script, shot list, or rhythm? That’s the ability that will hold value in the future.
As tools get more powerful, your aesthetic judgment and decision-making become even more crucial.
✅ 3. Don’t go it alone, build your “AI workflow”
What sets the experts apart from the average person isn’t the tools they use but whether they’ve turned their skills into a replicable system.
Behind every viral video, there’s an efficient, customized workflow. You need to think about how to seamlessly combine topic selection, script generation (using ChatGPT/Claude), image creation (Dreamina/Flux), video production (Kling/Dreamina), and voice editing into a streamlined process.
Many creators online have shared comprehensive workflows, detailing the entire process from topic selection to final video. This kind of hands-on experience is worth a hundred tool reviews and is something you should pay attention to.
What’s even more interesting are the ecosystem opportunities. As tools become more common, ancillary services will emerge. We’re already seeing platforms that sell AI art keywords; could there be a marketplace for “viral video workflows” in the future? It’s worth keeping an eye on.
âś… 4. Watch out for these three common pitfalls
⚠️Pitfall 1: Chasing “the best” and hesitating to take action.
There’s no “best”—only what’s “good enough.” Choose a tool that meets your core needs right now and make your first video immediately. Iterating through real-world practice is far more valuable than sitting idle for three months.
⚠️Pitfall 2: Treating skills as an endpoint instead of a ticket to entry.
Learning to create videos with AI is like learning to write a public account before—it’s just the “basic literacy” of this era, your ticket to the game. Don’t waste all your energy perfecting your technique.
⚠️Pitfall 3: Ignoring platform benefits and niche selection.
Tools are meant to serve your goals. The ad revenue opportunities for mid-length YouTube videos are right there for the taking; your combination of tools should be aimed at seizing these chances, not reinventing the wheel.
To wrap it up:đź‘€
Stop overthinking it. Use Dreamina or Kling today to create your first video and upload it for real feedback. Shift your focus from “Which tool is the best?” to “What problem do I want to solve?” and “How can I use these tools to make money?”
That’s the only genuine path for ordinary people to benefit from the AI era. Trust me!
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