How to streamline the process of creating stream clips
A finished stream holds more clips than anyone cuts by hand. Connect your stream once, let AI surface the highlights, review the best clips, then edit and schedule the ones worth posting.
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Free to sign up · AI clipping and editing run on a paid plan
Only stages three and four need you at the keyboard
Which part of Eklipse runs which stage
Every stage has one owner, so nothing gets done twice
Most clip workflows stall because the creator is not sure which tool handles what. Here is the map. Each capability has its own page with the detail.
The workflow itself
Five stages, and only two of them cost you an evening
The order matters more than the speed of any single step. Each stage hands the next one something finished, which is what stops a clip session turning into a VOD-editing job.
Connect the source
Link the channel you stream on so finished broadcasts arrive in Eklipse on their own. Done once per channel.
Out: VODs in the queueLet the AI pass run
Eklipse reads the whole stream and marks the moments worth cutting. This happens after the broadcast, not during it, so you can close the tab.
Out: candidate momentsReview and prioritise
Skim the candidates and keep the ones you would actually post. A pass through a list of marked moments is minutes, not hours of scrubbing.
Out: a short shortlistFinish the chosen clips
Only the shortlist gets edited: vertical reframe, captions checked, hook trimmed. Everything else stays in the library.
Out: posts, readySchedule the batch
Put the finished clips on the calendar in one sitting and let them go out across the week while you stream.
Out: a week of postsHow creators actually run it
The four decisions that keep this from becoming editing work
The tooling is the easy half. What separates a repeatable clip habit from a weekend lost to a timeline is where you put the judgement calls.
Decide what you are capturing before you go live
A stream you have already planned clips for is far quicker to review afterwards. Name the two or three things worth catching tonight, whether that is a ranked push, a first-time reaction or a segment you promised the chat, and the review stage turns into a search instead of a browse.
- Write the shortlist before the stream, not after it
- Note the rough time when something lands so the review has an anchor
- Say what you want when it happens, so the moment is flagged while it is fresh
- Skip the stretches you already know are filler
Treat the AI pass as a review queue, not a publisher
Detection is very good at finding where something happened and has no opinion about whether you want it on your channel. Keeping a human approval step between detection and posting is what keeps the feed yours, and it costs a few minutes per stream.
- Approve every clip before it reaches a platform
- Reject fast: a maybe is a no when there are twenty candidates
- Keep the near-misses in the library rather than deleting them
- Let the AI cover the categories you never think to check
Edit only the clips that earned it
Editing every candidate is how a clip workflow quietly becomes a second job. The shortlist gets the vertical reframe, the caption check and the trim. Everything else sits in the library costing nothing, ready if a theme turns out to be worth a montage later.
- Reframe to 9:16 and confirm the action stays in shot
- Read the captions once: auto-generated text still needs a human eye on names
- Trim the front so the hook is in the first second
- Leave the rest untouched instead of polishing clips nobody sees
Batch the posting so streaming and publishing stop competing
Posting by hand means opening apps on the night you are least likely to feel like it. Scheduling the finished batch in one sitting separates the two jobs: you stream on stream nights, and the queue publishes on all of them.
- Queue the whole shortlist at once instead of one upload at a time
- Spread posts across the days you are not live
- Write each caption while the clip is still in front of you
- Move a scheduled post rather than deleting a published one
What the workflow catches
The same five stages, whatever you play
A Valorant stream and a Just Chatting stream run through the identical workflow. What changes is the kind of moment stage two is looking for, and each title below has its own guide to that.
Clear before you connect
Free to create an account. The clipping workflow runs on a paid plan.
Know what happens next
Creating an account and connecting your stream channel costs nothing, and you can look around the dashboard first. The AI pass, the editor and the posting queue are the paid product, so check that before you plan a posting week around it.
Before you rebuild your routine
Workflow questions, answered directly
How do I streamline creating stream clips without editing the whole VOD?
Stop treating the VOD as the unit of work. Connect your channel so finished streams arrive on their own, let the AI pass mark the candidate moments, then review that list instead of the footage. You only open an editor for the clips you have already decided to post, which is usually a handful out of a long stream.
What is the fastest way to turn a finished stream into clips?
Have the source connected before you stream, so the VOD is already being processed while you are away from the desk. When you come back the work is a review pass and a finishing pass, both on a shortlist. The slow version is the one where you start by opening a four-hour recording.
Should I let the AI post clips automatically?
Keep an approval step. Detection finds where something happened, but whether it belongs on your channel is a judgement call, and a clip that is technically a highlight can still be a poor post. Approving a short queue costs minutes per stream and keeps the feed consistent with what you want it to be.
Which Eklipse feature do I need at each stage?
Auto-Clip Streams keeps new VODs entering the workflow, AI Highlights runs the detection pass, your clip library is where the review happens, Eklipse Studio does the vertical editing and caption fixes, and Content Planner schedules the finished batch. Each one has its own page with the detail.
Does Eklipse watch my stream while I am live?
The workflow described here runs on finished streams and VODs after the broadcast, not as a live monitor. That is deliberate: it means nothing competes with your PC during the stream, and the AI pass gets the whole broadcast to compare moments against rather than judging them one at a time.
What does it cost to start?
Creating an account and connecting a channel costs nothing. Eklipse itself is a paid product with no zero-cost tier, so the AI pass, the editor and the posting queue are part of a subscription. Connect first, look at the dashboard, then decide.
The rest of the toolkit
Features that sit inside this workflow
Each of these owns one job in the five stages above. Start with the stage that is costing you the most time.
Elsewhere on Eklipse
All features/ Free tools/ Use cases/ Compare/ How Eklipse works/ Help centre
Your next stream can arrive already clipped.
Connect the channel once, and the first four stages are waiting for you when the broadcast ends.
or sign up with Kick, Facebook, Xbox, or email
Free to sign up · AI clipping and editing run on a paid plan
