Import the long video
Upload livestream replays, course recordings, or podcast videos; long footage is analyzed in automatic segments — no need to split it by hand first.
AIMIX DESKTOP VIDEO EDITOR
Long Video to Shorts
Batch-Cut Highlight Clips from Livestream Replays and Courses
Import livestream replays, online courses, or podcast long-form videos — AI automatically identifies highlight segments, slices them by theme, and batch-produces vertical shorts. Topic selection criteria and a full slicing workflow included.
Download AIMIXHow it works
A two-hour livestream or a complete online course often hides a dozen independently shareable shorts inside — but nobody has time to rewatch two hours ten times over to find the highlights. Long video to shorts lets AI do the first pass: candidate segments are flagged by content heat, emotion, and information density; you review and confirm, then batch-cut vertical shorts. One long video becomes a content library.
AI identifies highlight segments
AI produces a candidate list scored by content completeness, emotional intensity, and information density: complete arguments, quotable lines, and demo climaxes are each labeled with duration and topic, ranked by priority.
Review and batch-slice
Preview each candidate, keep or drop it, and fine-tune the in and out points; once confirmed, batch-slice with vertical format as the default for short-video platforms. Sliced clips land on the editing timeline for further refinement.
Real-world examples
The cases below are real usage records of this feature in the AIMIX desktop app, unedited.
Knowledge streamer: one livestream yields 12 days of daily content
Best for: livestream commerce recaps, knowledge livestreams, course clips · repurposing long content
结构Workflow: stream ends → import replay → AI flags → review and slice → add subtitles and publish in batches
- One stream = a batch of topics
- AI shortlists, humans make the final call
- Sliced clips go straight to refinement
The trap for long-form creators is content that sinks the moment it is posted. Slicing turns a one-off long video into a steady stream of short-form assets, multiplying how much of your content actually gets distributed.
Which segments are worth slicing
Not every highlight works as a standalone clip — run candidates through four criteria before slicing:
Complete argument
The clip makes sense without surrounding context; only self-contained clips can travel on their own.
Conflict or contrast
Segments that challenge assumptions, show sharp contrasts, or reveal surprising data get clicked.
Emotional peaks
The most forceful, most engaged passages — emotion is the most direct retention signal.
Right duration
15-60 seconds fits the feed best; anything over 90 seconds is worth splitting into two parts.
AI ranks candidates by these signals — the final call belongs to you, who knows your channel's positioning best.
Expected output by content type
Typical yields from different types of long content:
| Content type | Original length | Highlight clips available | Best platforms |
|---|---|---|---|
| Livestream commerce replay | 2-3 hours | 8-15 clips | Douyin / Kuaishou / WeChat Channels |
| Online course | 60-90 minutes | 6-10 clips | Bilibili / Douyin / Xiaohongshu |
| Podcast interview | 60-120 minutes | 5-8 clips | Bilibili / Xiaohongshu / WeChat Channels |
| Product launch event | 40-60 minutes | 4-6 clips | WeChat Channels / Bilibili / Douyin |
Yields vary with content density; actual review results are what count.
What to do after slicing
Sliced clips are raw material, not finished posts — three more steps:
Add subtitles and covers
Most feed videos play on mute: subtitles decide completion, covers decide clicks.
End with a hook
Close each clip by pointing to the full version or a follow, routing short-form traffic back to the long video.
Schedule the posts
Space out each batch of clips — one livestream can feed your channel for a week.
Combined with batch voiceovers and batch subtitles, the whole set of clips moves down the pipeline.
Keep control of the final edit
Double your content utilization
One livestream or course yields a dozen-plus shorts — long content no longer sinks after posting.
AI shortlisting saves hours
No more rewatching a two-hour replay ten times; the candidate list is ready in minutes.
Clips go straight to refinement
Not a simple crop — clips land on the timeline, where you can add subtitles, text effects, and adjust pacing.
Batch vertical output
Defaults to short-video platform ratios, so multi-platform distribution needs no per-clip rework.
Frequently asked questions
How long a video can it handle?
Standard livestream and course lengths are all fine; extra-long footage is analyzed in automatic segments, with no pre-splitting needed.
Are AI-selected clips accurate?
AI ranks candidates by content and emotion signals, and every clip is previewed and confirmed by you before it is cut — nothing is sliced blindly.
Can I choose the output aspect ratio?
Yes — vertical is the default, and you can export landscape or square per platform.
Does it work with batch editing?
Yes — after clips are batch-produced, chain batch subtitles and batch voiceovers into a complete pipeline.
Can I slice a livestream before it ends?
You need the replay file first; once the stream ends, import the replay to get started.
Does slicing compress the quality?
Encoding follows your export settings; at standard resolution settings the quality loss is negligible.
Does it work for non-educational content?
Vlogs, launch events, and interviews all work; for purely visual content, usefulness depends on narration density.
How many clips should I cut?
Quality over quantity — prioritize self-contained, independently shareable clips; low-quality slices dilute your channel's weight.