How to select the truly memorable moment from a long broadcast using shorts automatic editing AI

Shorts' automatic editing AI saves you the effort of cutting out scenes from long videos, changing the vertical ratio to 9:16, and even translating speech into subtitles. Instead, choosing which clips to actually upload and the final visual inspection are still the responsibility of humans. Particularly in cases where the broadcast context is important, like Czizyk and SOOP, what signal is used to pinpoint ‘that moment’ differs greatly between tools.

Shorts automatic editing AI, what exactly can it do and what can it not?

The saying, “Just insert a video and it will do everything for you” is only half true. What machines are good at is repetitive tasks: cutting scenes, converting them vertically, and adding subtitles. On the other hand, what about judgments such as “Does this clip fit the color of my channel?” or “Can I really upload this cut?” From here, it is difficult for automation to take over.

Setting expectations first will make it less confusing when comparing tools. The division of labor, where AI makes the draft and humans make the final decision, generally fits the picture.

Why would it be a shame to edit the broadcast replay using the regular YouTube shorts tool?

Most general-purpose shorts tools only cut by looking at video and audio. Points where there are frequent scene changes or where voices become louder are assumed to be highlights, but this does not work well in game broadcasts. The moment when you are quietly concentrating and then the chat window pops up is often the real highlight.

The input length is also an obstacle. You may not be able to digest the hours-long replay in its entirety, or even if you do, you will often only pick out ambiguous scenes because you cannot grasp the context of the game. Tools like Vrew and Alphacut are powerful for editing subtitles and summarizing short videos, but they were not originally created for streamer broadcasting.

How do you find the ‘true moments’ in a 4-8 hour broadcast?

The key is the off-screen signal. Viewers flood the funny moments with chats and respond with dones like star balloons (SOOP) and cheese (zizijic). What if we superimpose the point where this reaction is concentrated on the running time? Even in a broadcast lasting several hours, the candidate section stands out.

ClipSpray uses this principle. Instead of just looking at video and audio, we pick up chat volume surges and even spikes as signals, and scan the replay from beginning to end to select the 'real moment' (Function summary). In other words, the reaction data points out what a person was looking for while rewinding with their eyes for four hours. If you are curious about how to read these signals by hand, you may want to first look at Broadcast Highlight Editing Guide.

From subtitles to upload text, to what extent is automated?

After making the cut, the section requires a lot of work. The repetitive work of adding subtitles, adding titles, and exporting both vertically and horizontally takes up time. The extent to which this pipeline continues smoothly determines the completeness of the tool.

Although AI automatic captioning (STT) transcribes speech into text, it is not perfect. Game terms, new words, and broadcasting slang are often written incorrectly, so you have to look them over with a human eye. ClipSpray creates 9:16 vertical shorts and 16:9 horizontal clips with automatic subtitles, titles, and upload text all at once (ClipSpray).

✅ Cut: Automatic division of highlight candidate sections

✅ Subtitles: Automatic subtitle generation based on voice recognition (typo correction by humans)

✅ Title: Automatically draft title for upload

✅ Upload text: Automatically draft description text

✅ Export: Simultaneous 9:16 portrait / 16:9 landscape output

Can I just upload the clip selected by AI? (Report showing why this scene)

Rather than uploading it right away, it is safer to check why this moment was nominated and then send it out. ClipSpray displays a timeline report showing what signal each clip was pulled from (chat, voice, voice). All the streamer has to do is look at the evidence and select the clip to upload. Rather than blindly trusting and throwing in automatic editing, the trend is to verify and then export.

In particular, I have to watch the scene where Done appears on the screen one more time because the sponsor's nickname or story can be exposed as is. Even if you just point out the five things below before posting, accidents will be greatly reduced.

• Context: Is the cut understandable even if viewed without context?
• Typo in subtitle: STT may have misrepresented game terminology and slang.
• Cut Boundary: Make sure the start and end are not cut awkwardly.
• Title: Does it match the channel tone and is not excessive for fishing?
• Copyright, Done Exposure: BGM, sponsor nickname, and personal information are exposed as is (broadcast replay copyright)

If you are a Czizyk and SOOP streamer, choose an automatic shorts editing AI like this

The selection criteria ultimately differ depending on the type of broadcast. If you're just trimming a short edited video, this general-purpose tool is sufficient. But it's a different story when you have to salvage highlights from a 4-8 hour live replay. It's better to watch the long VOD as a whole and read the chat and Done's reactions.

Chzzk is a platform operated by Naver (Chzzk), and SOOP is where the old Afreeca TV changed its name (SOOP). Both places have distinct Done culture, such as star balloons and cheese. Therefore, tools that cannot read reaction signals are likely to miss the actual scene of an explosion. If you are aiming to make money based on views by uploading the shorts you made on YouTube (YouTube Shorts Monetization), it is definitely less work to make two sets, vertically and horizontally, at once.

The cost can be adjusted based on how many shorts you pull out per month Price Plan], and you can compare side by side in Tool Comparison] to see what is different from the general-purpose tool. If you are wondering where to upload the shorts you made, Shorts Upload Strategy] is the next article.

Frequently Asked Questions

Does the Shorts automatic editing AI really do everything just by inserting a video?

Repetitive tasks like cropping, 9:16 portrait conversion, and automatic subtitles (STT) are handled automatically. However, humans still have to do the actual selection of clips to upload, channel tone, and copyright verification.

Why is it disappointing to edit game broadcast replays with regular YouTube shorts tools?

Most general-purpose tools only cut out video and audio signals, so it's easy to focus quietly and miss the real highlight of the chat. Also, there are many cases where you cannot fully digest or understand the context of a several-hour long replay.

How do you find the ‘real moments’ in a 4-8 hour broadcast?

If you superimpose the point where the chat volume surges and reactions like star balloons and cheese are overlaid on the running time, the candidate section stands out. ClipSpray also analyzes these response signals to select highlights from long live replays.

Can I use the subtitles automatically created by AI?

STT often uses game terms, new words, and broadcast slang incorrectly. It is safe to have someone visually correct typos and misidentifications before uploading.

Is it okay to upload the clip selected by AI right away?

We recommend checking five things first: context, subtitle typos, cut boundaries, title, copyright, and donee exposure. ClipSpray shows you in a timeline report which signals (chat, voice, and voice) each clip was selected for, so you can verify them and then export them.

Source

• How ClipSpray Works
• CHZZK
• SOOP
• YouTube Shorts Monetization
• ClipSpray plans