Selects by Cutback

1. Multicamera synchronization: Automatically aligns footage from different cameras using video and audio, reducing the time spent finding synchronization points manually.
2. Speaker recognition and camera assistance: Identifies the current speaker and helps organize the corresponding multicamera footage.
3. Intelligent segmentation: Divides long footage into chapters based on scenes, content, or topics for faster review.
4. Automatic rough cuts: Detects silence, pauses, repeated content, and selected filler words to create an initially tighter timeline.
5. Natural-language search: Finds footage from a written description, eliminating the need to play through hours of material section by section.
6. Professional NLE export: Sends the organized project to Premiere Pro, Final Cut Pro, or DaVinci Resolve for final editing.
7. Nondestructive processing: AI selections do not alter the original footage, so everything can still be adjusted after entering the editing software.

The part of Selects that editors are most likely to notice is the first few hours of a project.

Suppose you have a 90-minute interview.

There are two or three camera angles, a separately recorded dialogue track, and some additional footage from the location.

The traditional workflow begins with importing and synchronizing everything, checking the timing of each camera, listening through the content, adding markers, and removing obvious empty sections.

A considerable amount of time may have passed before you even begin thinking about how the episode should be edited.

Selects aims to handle that preparation first.

After importing the footage, you let it analyze the material. Processing time still depends on the length of the source footage, so it does not finish in a few seconds.

Once the analysis is complete, you can see the transcript, chapters, and an initially organized media structure.

Its greatest benefit is not that it creates a beautiful edit for you. It is that you do not have to begin with a completely empty timeline.

The difference may not be obvious with a ten-minute vlog.

It becomes much easier to see with a three-hour podcast, a multicamera panel discussion, or a large collection of interviews.

Natural-language media search is also well suited to these projects.

A few days after filming an interview, you may only remember:

“The guest mentioned an example about a failed startup somewhere in the middle.”

You may no longer remember whether it happened at minute 27 or minute 68.

Searching by content is much faster than repeatedly scrubbing through the timeline and listening again.

Automatic silence removal cannot be left completely unattended.

Some pauses in an interview are wasted time, while others are part of the speaker’s tone and delivery.

If the AI removes pauses too aggressively, the speech can suddenly feel rushed.

I would therefore treat it as a first cleanup pass and return to the NLE to adjust the final pacing manually.

The same applies to multicamera editing.

Automatically cutting to whoever is speaking is useful for a basic rough cut.

However, deciding when to hold on a reaction shot and when to remain on the main speaker is an editorial judgment. Basic speaker detection cannot solve it.

This is also what makes Selects’ positioning feel sensible.

It stops at the rough-cut stage instead of presenting itself as an “AI that edits the entire finished video for you.”

Pros

• Well suited to long footage: The more source material you have, the more noticeable the time savings from automatic organization become.
• Convenient multicamera synchronization: You do not need to begin every project by manually aligning audio.
• Easy media search: Several hours of interviews can be searched directly by content.
• Preserves the existing professional workflow: After organization, the project can return to Premiere Pro, Final Cut Pro, or DaVinci Resolve.
• AI decisions remain editable: Editors can manually override an unsatisfactory rough cut.
• A restrained product scope: It focuses on preparing footage rather than forcing AI to make creative editorial decisions.

Cons

• Not a one-click finished-video tool: Final pacing, story structure, graphics, and polish still need to be completed manually.
• Automatically removed pauses need review: Meaningful pauses and vocal nuance may be mistaken for empty space.
• Automatic camera switching is not the same as real directing: Reaction shots and narrative rhythm still require human judgment.
• Better suited to professional NLE users: The benefits are less noticeable if you only use lightweight editing apps.
• Allowances are consumed according to the source footage: Long multicamera projects can use a large amount of analysis time.
• Compatibility needs to be checked per project: With different software versions or complex timelines, it is best to test the complete round-trip workflow first.

Best for / Not ideal for

Best for

• Podcast editors: Suitable for people handling one- or two-hour interviews every week.
• Multicamera production teams: Useful when synchronizing and organizing camera angles consumes substantial time.
• Long-form YouTube creators: Helpful for obtaining a rough cut quickly before manually refining the pacing and presentation.
• Documentary editors: Useful for searching large interview libraries for a particular quotation or topic.
• Professional post-production teams: Suitable for teams already using Premiere Pro, Final Cut Pro, or DaVinci Resolve that do not want to change their existing finishing workflow.

Not ideal for

• People who only create very short videos: With little source footage, automatic preprocessing saves limited time.
• People expecting AI to deliver a finished video: Selects is clearly not designed for that role.
• People who only use lightweight tools such as CapCut: Its professional NLE export advantages are difficult to use fully.
• People focused mainly on animation and VFX: It is built for live-action footage and spoken content, not compositing.
• Creators with very little footage: A monthly subscription may offer less value than spending ten minutes organizing the material manually.

Selects by Cutback addresses a very specific problem in the editing workflow:

Can it eliminate several wasted hours before the real editing begins?

It synchronizes multicamera footage, transcribes interviews, removes silence, and organizes content by topic.

Once those tasks are complete, the project is handed back to the editor.

It will not decide which moment should remain on screen for three seconds, choose the best reaction shot, or automatically turn an ordinary interview into a viral hit.

For people who face several hours of raw footage every day, that narrower role is actually more practical.

For your first test, do not use a five-minute video.

Choose the kind of project that normally causes the most trouble—such as a complete multicamera podcast episode.

Record how long it previously took to go from importing the footage to producing the first rough cut, then run the same project through Selects.

At the end, evaluate only two things:

How much time it saved, and how much of the AI-organized timeline needed to be corrected.

If six hours of preparation can be reduced significantly without spending another two hours fixing the AI’s mistakes, the value of a Starter or Pro subscription becomes much easier to calculate.

Whether Selects is worthwhile does not depend on how closely it edits like a human.

What matters is this: Can it handle the tedious work that happens before you actually begin telling the story?