AI video editing program, the key is what to cut from a long broadcast

When cutting three or four shorts in a six-hour live replay, the real bottleneck is not the editing function, but where to cut. There are already a lot of AI video editing programs with automatic subtitles and automatic cuts, but the task of picking out the right moments in a long broadcast still remains in the hands of humans. So, in addition to comparing tools, we also organized the criteria for deciding ‘what to cut’.

The editing tools are the same, but why does the streamer stay up all night?

Even though I've installed Filmora, Capcut, and Brew, the reason I end up going through all the replays is not because of the tool's performance, but because the texture of the work is different. While general video editing involves refining the source material for which the 'scene to be used' has already been determined, live clip work involves finding the scene to be used from original material that is over 6 hours long. General purpose editors have little help with this latter part of the process.

When it comes to working with broadcast clips, the points where general-purpose AI editors get stuck largely overlap.

• Original with over 6 hours of input: Timeline loading is difficult.
• Judging where to cut: Cutting is automatic, but ‘selecting’ is manual.
• Chat and context: The tool does not know the off-screen response.
• Simultaneous delivery in portrait and landscape: 9:16 and 16:9 must be created separately
• Title, upload text: What remains even after editing is finished

What AI editing tools will be useful now in 2026?

The main tools are divided into three categories according to their characteristics. Filmora and Adobe Premiere are services that allow for manual editing but include AI functions, CapCut and Vrew automatically create subtitles and cuts, and the rest are specialized services for broadcast replays. The ones that actually implement automatic subtitles and automatic cuts are Capcut and Brew, while Filmora and Premiere have a structure where AI helps with elaborate hand editing.

No matter how much I search through the list of recommendations in DC or community reviews, I end up stopping at the introduction of features. In fact, most AI video editing program ranking articles only cover this point. In fact, ‘what to cut’ does not appear in any table in a long broadcast.

How do you find ‘explosive scenes’ in long replays?

Exploding clips are more about ‘moment selection’ than editing techniques. If you only watch the video and audio, it's easy to miss the chat and Done (star balloon, cheese) reactions. The chat window tells you which sections are crowded with viewers before the screen. In a long live, the scenes that will explode usually overlap with the point where the chat explodes or the group gathers.

These four signals fit particularly well in platforms where chatting and sponsorship circulate in real time, such as Chzzk and SOOP (forest, old African TV). Rather than just looking at the screen and taking pictures by feel, it is quick and accurate to first point out the seconds when the reaction is concentrated and then open the front and back. What to catch and what to miss for each signal is covered in more depth in Broadcast Highlight Editing Guide.

Can I upload automatic subtitles and automatic cuts as is?

If you ask whether you can upload it as is, the answer is 'only as a draft.' STT frequently misspelled streamer memes, game terms, and nicknames, and auto-cuts frequently cut back and forth between fast and slow. If you upload it as is, typos and awkward spaces will be visible. Automatic subtitles and cuts are drafts, not finished versions. Be sure to undergo a review before uploading, even if it is short.

In short-form editing, you can receive the subtitles as a draft, but just quickly scan the items below before uploading them.

• Typos in proper nouns, slang (memes, nicknames, game terms)
• Is the wallpapered chat mixed in with the subtitles?
• Secure approximately 0.3 seconds of space before and after the [ ] cut
• Processing of profanity and sensitive sections
• Is the subtitle longer than two lines?

Tip: Place subtitles at the bottom of the screen, and break sentences beyond two lines. On a vertical screen, one line is best read.

Should I start for free or is it better to pay? If you count the time

Starting with a free tool is the right choice. With the free version of Capcut and Brew, subtitles and basic cuts are taken care of. The time to change is not when a feature is lacking, but when editing time per episode becomes a waste. Rather than looking through the rankings of free AI video editing program recommendations, you can make a faster decision by measuring how many hours you spend on one clip.

Shorts receive revenue distribution based on views through YouTube Partner Program, so production time per episode directly leads to revenue efficiency. When estimating the cost of an automated service, don't just look at the monthly subscription fee, but also look at 'how many clips are extracted per month'. I have to convert it to a cost per piece so it compares fairly to the time I spend on free tools.

What is the workflow for making Chzzk, SOOP clips, and YouTube shorts?

Czizyk and SOOP clips have a slightly different sequence from the general-purpose workflow. Instead of just looking at the screen, we read chat and responses first, narrow down the candidates from there, and then move on to editing. By combining AI clip editing with reaction analysis, the time to find candidates in long replays is greatly reduced.

1️⃣ VOD upload (original live replay)

2️⃣ Chat and Done (Star Balloon, Cheese) reaction analysis

3️⃣ Check candidate moments + evidence timeline

4️⃣ Select only the clips you want to upload

5️⃣ Delivery of 9:16 shorts and 16:9 clips

Broadcast-specific services such as ClipSpray] automatically run this order. Chat and response analysis take over the selection of 'what to cut' that general-purpose editors cannot touch, and people only select clips to upload among candidates (How it works, Comparison of tools). How to upload the completed shorts to which platform is continued in Shorts Upload Strategy].

Lastly, the choice depending on the situation varies as follows.

Frequently Asked Questions

Can I upload the automatic subtitles and automatic cut results from the AI video editing program?

I recommend writing only as a draft. STT often misspelles memes, game terms, and nicknames, and the auto cut is prone to misalignment, so if you upload it as is, typos and awkward spaces will be noticeable. Just scan for typos in proper nouns, 0.3 second margins before and after cuts, and sensitive sections quickly before uploading.

How do you find the right scenes to explode in long broadcast replays?

It's easy to miss it if you only watch the video and audio, and it's more accurate to first point out the chat explosion and Done (star balloon, cheese) surge section. Since the chat window notifies you before the screen when there are a lot of viewers, it is quick to find the number of seconds when there is a lot of response and open the front and back.

Can I start with a free AI video editing program?

Yes, subtitles and basic cuts are solved with the free version of Capcut and Brew. The time to switch to a paid version is not when there is a lack of features, but when the editing time required for one clip becomes a waste, so you can make a quicker decision by first measuring the work time per clip.

Which is better for streamer clips: Capcut, Brew, or Filmora?

The ones that actually run automatic subtitles and cuts are Capcut and Brew, while Filmora and Premiere have a structure where AI helps with precise hand editing. However, neither method takes care of selecting ‘what to cut’ from the 6-hour original, so it is best to consider response-based automation for broadcast clips as well.

What is the workflow for creating YouTube shorts with Chzzk and SOOP Broadcasting?

After uploading the VOD, we analyze chat and Done reactions to narrow down candidate moments, select only the clips to upload, and deliver them as 9:16 shorts and 16:9 clips. Unlike general-purpose editing that scans the screen first, candidates are selected first using response signals, greatly reducing the time to find candidates in long replays.

Source

• CHZZK
• SOOP (Forest, Old Afreeca TV)
• YouTube Partner Program