"How long will your video account live?
Nowadays, when making TikTok, no one can circumvent AI. But many people can't use it well. For example, if you search for "text-to-video artificial intelligence production tool", you are actually looking for something that can turn copywriting into video with one click.
There are many such tools on the market. Things like Picture, InVideo, and Opus Clip all use the banner of AI. But can they really help you save trouble?
Let's make it clear that the core of AI video tools is "automation". You write a good copy, and it helps you design pictures, add subtitles, and choose music. Sounds pretty impressive.
But the reality is that the videos generated by most tools are very "blunt". The picture and the copy do not match, and the rhythm card is not good. For example, if you write "Sunset by the Sea", it may give you a video of a snowy mountain.
Why is this? Because AI cannot understand "artistic conception". It only matches material by keywords. So with this kind of tool, you need to know how to write copywriting that "AI can understand".
How to do it specifically? Break long text into short sentences. For example, don't write "In the evening, the sun sets in the west, and the sea is sparkling", just say "The sun sets on the beach, and the ground is full of golden light." Short sentences + specific picture words make it easier for AI to find material.
There is also a tip to use a "scene + action" combination. For example,"reading in a coffee shop" is more specific than "quiet reading time". When AI searches for material, the former has a higher matching rate.
I recently saw a piece of news. There is a TikTok blogger in Singapore who uses AI tools to gain 50,000 fans a month. But he said himself that he was not directly setting up the template. Instead, AI is used to generate a first draft, and then manually adjust the picture and rhythm.
This reminds us that AI is just a tool. A truly popular video must rely on its "human flavor". Such details as expressions and gestures cannot be done by AI.
Nowadays, many tools are beginning to support "real appearance". For example, if you speak into the camera, AI will automatically edit it into a video for you. This direction is very useful. But be careful not to speak too fast. Too fast AI can easily get stuck.
There is also an unpopular demand. Many people want to use AI to make "explanatory" videos. For example, popular science knowledge. This type of video requires clear logic. When writing copywriting, it is best to use the structure of "first point, second point". AI handles it smoother.
AI video tools are now iterating very fast. Platforms like Coze can help you customize your workflow. Fully automate copy generation, material matching, and subtitle addition.
But no matter how advanced the tool is, a little bit. AI can help you do "physical work", but your creativity still depends on you. For example, the suspense sentence at the beginning, AI will definitely not be able to think of it.
Be honest. Use AI to make videos, don't pursue one step. Try the free version first and familiarize yourself with its logic. For example, Picture's free plan can generate 3 videos per day. Enough for you to practice.
Wait until you are familiar with it, then consider payment tools. For example, the business version of InVideo supports custom templates. An account suitable for long-term operation.
AI video tools are still in the "barbaric growth" stage. There are many tools, but few reliable ones. Try more and find the one that suits you.
For example, if you create a food account, try Opus Clip. It can automatically extract video highlights. When doing travel, try Picture, which makes picture matching more flexible.
In short, AI can help you save time. But if you want to become popular, you still have to ponder the content. For example, why is the suspense sentence at the beginning attractive? Because it directly impinges on anxiety.
So next time you use AI to make a video, think more about what users want to watch. Don't just focus on "one-click generation".
Many tools now support "AI dubbing". For example, if you write copywriting, it can generate different styles of sounds. But note that mixing Chinese and English is easy to make mistakes. Try to use pure Chinese or pure English.
There is also a trend. AI video tools begin to support "multi-language". For example, if you write Chinese copywriting, it can automatically be translated into English dubbing. Suitable for international accounts.
However, the quality of translation is uneven. For example, science and technology terms are often translated strangely. It is best to proofread this kind of video manually.
Nowadays, when doing TikTok, the content is highly homogeneous. AI tools can help you differentiate. For example, when others use templates, you use AI to generate "customized" videos.
How to do it specifically? For example, if you do product evaluation and use AI to generate a "first perspective" screen. It has a more sense of substitution than direct template setting.
There is also an unpopular usage. Use AI to generate "animation clips". For example, explaining historical events, AI can help you make simple animations. It's more vivid than a real person.
But for animated videos, the copywriting should be more concise. For example, don't write "He had a complicated expression at the time", just say "He frowned and thought." AI animation is more accurate.
Currently, the "intelligence level" of AI video tools is not high. For example, platforms like Coze require you to manually set rules. But the advantage is that you can generate content that is more consistent with your style.
For example, if you make a funny video, you can set the rule of "exaggeration". When AI is generated, some funny material will be automatically added.
But don't make the rules too complicated. For example, don't write "The picture should be a little retro, but not too old." AI cannot understand "a little". It is more reliable to write directly about "80s style".
Many tools now support "material libraries". For example, InVideo has a huge amount of material. But note that hot material is easy to be reused. Try to find unpopular keywords.
For example, instead of searching for "city night view", searching for "rainy night street lights" is more unique. AI also matches less material and is more original.
Nowadays, the "pricing" of AI video tools is very chaotic. For example, Picture has monthly and annual payments. Annual payment is cheap, but functions are limited. Try monthly payment first to see if it suits you.
There is also a money-saving tip. Many tools support "team accounts". For example, if you create an account with your friends, you can share the expenses.
When doing TikTok now, update frequency is very important. AI tools can help you generate videos in batches. For example, Coze can set up regular publishing.
But don't generate too many at once. For example, don't make 50 videos at a time. AI is error-prone and has unstable quality. It is recommended to do 5 at a time and check it manually.
The "stability" of AI video tools is a problem now. For example, Opus Clip sometimes gets stuck. Before generating a video, it is best to restart the software.
There is also an unpopular technique. Use AI to generate the "first 5 seconds". For example, if you write "Shock! This method actually..."AI will help you match suspense pictures. More attractive than direct template setting.
Many tools now support "multi-account management". For example, you can operate TikTok and Instagram simultaneously. But note that the proportion of videos on different platforms is different. AI-generated videos may require secondary editing.
There is also a trend. AI video tools begin to support "real-time generation". For example, when you broadcast live, AI can automatically generate Short Video. Suitable for live broadcast of events.
However, the quality of real-time generation is average. For example, the picture will be stuck. It is recommended to use recorded and broadcast testing first before officially broadcasting.
Nowadays, the "learning cost" of AI video tools is not low. For example, Coze needs to know something about programming. But the advantage is that the workflow can be completely customized.
If you don't know how to program, try a "drag-and-drop" tool like InVideo. The operation is simple and most functions can be realized.
Nowadays when doing TikTok, video rhythm is very important. AI tools can help you adjust the editing speed. For example, Picture supports "quick clipping mode". But beware, too fast the audience will skip. It is recommended to try different speeds first and look at the data feedback.
There is also an unpopular demand. Use AI to generate "silent video". For example, making background pictures. This type of video copy is simpler. For example, don't write "He's in a bad mood", just say "close-up". AI is easier to match.
Now we should pay attention to the "copyright issues" of AI video tools. For example, some of the material libraries used by Picture require payment. Before generating a video, it is best to confirm the copyright description.
There is also a money-saving tip. Many tools support "custom watermarks". For example, if you use a company logo, you can enhance your brand sense. But note that the watermark should not be too large, which will affect viewing.
Nowadays, the "update speed" of AI video tools is very fast. For example, there are new features every month. Pay more attention to official news and don't use old versions.
There is also a trend. AI video tools begin to support "speech recognition". For example, if you upload a recording directly, it can automatically generate subtitles. Suitable for making interview videos.
However, the identification accuracy is limited. For example, dialects are often misinterpreted. For this type of video, it is best to manually proofread the subtitles.
When doing TikTok now, verticality is very important. AI tools can help you make "series videos". For example, Coze can set up templates to generate content with consistent styles.
But don't be too rigid. For example, don't use a fixed background. Audiences are prone to aesthetic fatigue. It is recommended to change the template every 5 issues.
There is also an unpopular usage. Use AI to generate "teaching videos". For example, software tutorials. This type of video requires clear steps. When writing copywriting, it is best to use the "first step, second step" structure. AI is easier to understand.
The "compatibility" of AI video tools is now a problem. For example, Picture does not support certain formats. Before generating a video, it is best to confirm the file requirements.
There is another trick. Use AI to generate "emoji videos". Like funny reactions. Such video copywriting should be exaggerated. For example, instead of writing "He laughed", just write "He rolled on the ground with laughter." The AI matching picture is even more weird.
Now "community support" for AI video tools is very important. For example, InVideo has a user forum. If you encounter problems, you can go there for help.
There is also a trend. AI video tools begin to support "expression recognition". For example, when generating videos, people's expressions can be automatically matched. Suitable for emotional content.
But the recognition is not perfect yet. For example, complex expressions often go wrong. For this type of video, it is best to adjust the picture manually.
Nowadays when doing TikTok, interaction is very important. AI tools can help you generate "question and answer videos". For example, Coze supports setting problem templates. But be careful not to question too long. AI cannot handle complex problems.
There is also an unpopular technique. Use AI to generate "travel videos". For example, Coze can set location keywords. However, material matching is limited, so it is recommended to prepare some material yourself.
The "localization" of AI video tools is a problem now. For example, Picture's Chinese support is average. Before generating a video, it is best to use English keywords. Then translate the subtitles manually.
There is also a trend. AI video tools begin to support "multi-language dubbing". For example, if you write Chinese copywriting, you can generate dubbing with different accents. Suitable for international accounts.
However, the dubbing quality is uneven. For example, Chinese dubbing is often weird. It is recommended to audition first before deciding whether to use it.
Now we should pay attention to the "privacy protection" of AI video tools. For example, Coze needs to upload files. Confirm whether the data is encrypted.
There is another trick. Use AI to generate "product display videos". For example, Coze can set a 360-degree rotation. But note that the product should be simple. AI cannot handle complex products.
Nowadays, the "customer service" of AI video tools is very important. For example, InVideo has 24-hour customer service. If you encounter any problems, you can contact at any time.
There is also a trend. AI video tools begin to support "virtual anchors". For example, if you write copywriting, it can generate animated character commentaries. Suitable for doing news content.
But the animation quality is average. For example, stiff expressions. It is recommended to test first to see the audience's reaction.
When making TikTok now, the freshness of content is very important. AI tools can help you do "creative mixed cutting". For example, Coze can set random screens. But note that mixed cutting must be logical. Otherwise, the audience will not understand it.
There is also an unpopular usage. Use AI to generate "food videos". For example, Picture supports ingredient matching. But the picture quality is average. It is recommended to shoot some material yourself.
Nowadays, we should pay attention to the "price fluctuations" of AI video tools. For example, Picture often raises prices. Before using it, confirm the price policy first.
There is another trick. Use AI to generate "game videos". For example, Coze can set up game screens. However, material matching is limited. Suitable for game commentary, not suitable for live broadcasts.
The "stability" of AI video tools is a problem now. For example, Opus Clip sometimes breaks down. Before generating a video, it is best to save the copy.
There is also a trend. AI video tools begin to support "emotion analysis". For example, when generating videos, music can be automatically matched. Suitable for emotional content.
But the match is not accurate yet. For example, cheerful music can sometimes be wrong. It is recommended to adjust the music manually.
Now when making TikTok, update speed is very important. AI tools can help you generate videos in batches. For example, Coze can set up scheduled tasks. But be careful not to generate too many at once. The quality is unstable.
There is also an unpopular technique. Use AI to generate "fitness videos". For example, Picture supports action matching. But the picture quality is average. It is recommended to shoot some action material yourself.
Now the "refund policy" of AI video tools should be paid attention to. For example, InVideo does not support refunds. Make sure before using it.
There is also a trend. AI video tools begin to support "multi-platform publishing". For example, Coze can be posted to TikTok and YouTube with one click. However, note that different platforms need to adjust the video ratio.
Now the "technical support" of AI video tools is very important. For example, Picture has detailed tutorials. If you encounter problems, you can go to the tutorial.
There is another trick. Use AI to generate "music videos". For example, Coze can set lyrics matching. But the picture matching is limited. Suitable for making cover videos, not suitable for making pure music.
Nowadays, when making TikTok, content differentiation is very important. AI tools can help you make "customized videos". For example, Coze can set brand elements. But be careful not to be too complicated. AI cannot handle complex designs.
There is also an unpopular usage. Use AI to generate "pet videos". For example, Picture supports animal matching. But the picture quality is average. It is recommended to shoot some pet material yourself.
Nowadays,"user reviews" of AI video tools are very important. For example, InVideo has user ratings. Before using it, you can read the evaluation first.
There is also a trend. AI video tools begin to support "real-time captioning". For example, Coze can automatically generate subtitles. Suitable for live broadcast content. However, subtitle accuracy is limited. Manual proofreading is recommended. "
