How to Create a Rough Cut in Minutes with AI

What You'll Need

Before you start, gather the materials and tools that make the AI workflow efficient. Most of this is the same as a traditional rough cut workflow -- the difference is software, not source.

Source footage organized in folders. Camera files, audio recordings, and any other media you want included. Do not feed the AI duplicate copies, render exports, or unrelated material -- the AI indexes everything you give it, so cleanliness matters.

A script, outline, or shot list. Even a rough one. Knowing what you are trying to build dramatically improves your search prompts. "Three-minute branded explainer for a fitness app, with founder intro, product demo, and customer testimonial" is enough.

An AI footage tool. For this walkthrough I am using Wideframe because it outputs native Premiere Pro .prproj files, which is the most editor-friendly path. The same general approach works with other AI footage tools -- the steps are similar, the export format may differ.

Premiere Pro (or your preferred NLE). The AI is doing the rough cut work, but you will be refining the output in your real editing tool. If you are on FCP or DaVinci Resolve, check what export formats your AI tool supports.

30 to 90 minutes of focused time. Less than the traditional rough cut process, but more than zero. The AI is fast; you still need to make decisions.

Step 1: Organize Your Footage

The output of any AI tool is only as good as the input you give it. Spend 10 to 15 minutes organizing your footage before you start.

Consolidate everything into one project folder. Camera files from each card, external audio, screen recordings, B-roll, music. If you have proxy files, decide whether you want the AI to index proxies (faster) or originals (more accurate). Most modern tools handle both gracefully.

Name folders by source or scene. "Camera A," "Camera B," "Audio," "B-roll - Office," "B-roll - Exterior" is a useful structure. The AI typically does not need this for indexing, but it helps you make sense of the results.

Remove obviously unusable material. If a take had a hard interruption, if you accidentally recorded the floor for ten minutes, if a clip is corrupted -- remove or archive these now. Indexing junk takes time and surfaces noise in search results.

Verify codecs. Most AI tools handle common codecs (H.264, H.265, ProRes, DNxHD) without issue. Less common formats -- camera RAW, some MXF variants, GoPro 360 -- sometimes need transcoding first. Check your tool's supported formats list before ingest.

Step 2: Ingest into AI

Now feed your footage to the AI tool. In Wideframe, this is a drag-and-drop operation that uploads your media (or references it locally, depending on your setup) and begins indexing.

Indexing typically takes longer than playback time but much less than the source duration. As a rough rule:

• 30 minutes of footage indexes in 5-10 minutes
• 2 hours of footage indexes in 15-25 minutes
• 10 hours of footage indexes in 90 minutes to 3 hours

The indexing happens in the background, so you can keep working on other things. While it runs, the AI is doing several things:

Transcribing dialogue. Speech-to-text on every audio track, with timecoded results that map directly back to your clips.

Detecting scenes. Identifying moments where visual content changes significantly -- new shots, new locations, new compositions.

Generating visual descriptions. Tagging clips with descriptions of what is visible: shot type, subject, setting, action.

Identifying speakers. Distinguishing between different voices and labeling speaker turns.

Building a search index. Combining all of the above into a queryable database that you can search with natural language.

When the indexing is done, you have a searchable footage library. Every clip is tagged. Every spoken word is timecoded. Every visual change is detected. This is the foundation that makes the rest of the workflow fast.

Step 3: Search and Mark Selects

This is where the time savings become dramatic. Instead of scrubbing through hours of footage to find the moments you want, you search for them.

Open the search interface and type queries that match what you need. Some examples that work well:

• "Founder explaining what the product does"
• "Anyone laughing or smiling genuinely"
• "Wide shot of the office"
• "The line about pricing"
• "Product demo, hands on screen"
• "Customer testimonial about results"

Each search returns a ranked list of clips matching the query. The AI shows you the relevant snippets with timecodes, so you can preview them in seconds rather than scrubbing through full clips.

For each search result, you make a quick judgment: is this a good take? If yes, mark it as a select. If no, skip it and check the next result. Most queries return 5 to 20 candidates; you typically pick the best one or two.

The pattern that works best is to do searches in story order. Start with searches for the opening scene, mark your selects, then move to the next scene, and so on. This builds your selects in the order you will need them, which makes step four faster.

Step 4: Build the Sequence

Once you have selects for every scene, build them into a sequence. In Wideframe, this is a drag-and-drop operation in a timeline view: drag your selects into scene order, set rough in/out points, and you have a draft sequence.

The AI can also propose an initial sequence based on your script or outline. If you provided one in step one, ask the tool to generate a starting sequence. It will arrange your selects in the order suggested by the script, picking the best take for each beat. You then refine from that starting point rather than from scratch.

At this stage, you are working at the assembly cut level -- every shot you might use is in the sequence, in roughly the right order, at roughly the right length. Do not try to perfect anything. The goal is a complete draft you can react to.

Trim each clip to a working length. The AI usually offers suggested in/out points based on detected speech boundaries or visual cuts. Accept the suggestions for now; you can refine them in Premiere Pro.

Add placeholders where needed. If you are missing a graphic, mark a slate. If a B-roll shot is needed but you do not have it yet, leave a gap with a note. The rough cut should be complete enough to evaluate, but not so complete that you spend time on details that may change.

By the end of step four, you should have a sequence that plays from beginning to end with the intended structure. It will be longer than the final video and rougher than the final video, but it will tell the story.

Step 5: Export to Premiere

This is the moment that distinguishes Wideframe from generic AI editing tools. Instead of giving you a flat exported video, it generates a native Premiere Pro project file (.prproj) with your sequence intact, all your clips linked correctly, your in/out points preserved, and your bin structure organized.

Click export, choose the .prproj target, and download the file. Open it in Premiere Pro. Your sequence is there. Your clips are linked. Your timeline is editable. Everything you do from here is normal Premiere editing on a sequence the AI built for you.

If you are working in Final Cut Pro or DaVinci Resolve, check your AI tool's export options. Many tools support FCPXML or DaVinci Resolve project formats with similar fidelity. The principle is the same: the AI does the rough cut, your NLE does the refinement.

One detail worth knowing: the .prproj file Wideframe generates uses your original media paths, not copies. Keep your source footage in its original location, or update the project's media paths after import. This avoids re-rendering and preserves your existing project structure.

Step 6: Refine in Premiere Pro

The AI rough cut is a starting point, not a finished rough cut. The remaining work happens in Premiere Pro, and it is mostly the work that matters most: creative refinement.

Watch the sequence end to end. Get a feel for the overall flow. Where does it drag? Where does the energy lift? Are there scenes in the wrong order? This is structural review of the AI's work, and you should not skip it.

Trim each clip to working length. The AI's in/out points are usually reasonable but not perfect. Tighten where needed. Loosen where the AI cut too aggressively.

Add or remove material. If the AI missed a moment you wanted, find it in the bins (which are organized for you) and drop it in. If a scene is dragging, remove the weakest part.

Address the rough cut feedback. Once your refined rough cut is ready, share it with stakeholders for structural feedback, then iterate. From this point forward, the workflow is the same as a traditional rough cut process.

The total time from organizing footage to having an in-Premiere rough cut sequence is typically 30 to 90 minutes, depending on footage volume and project complexity. The same work traditionally takes 4 to 16 hours. The savings are not from cutting corners; they are from automating the parts that did not need human creative input.

Worked Examples by Project Type

Here are realistic time budgets for three common project types using this workflow.

The pattern across project types: AI rough cuts take roughly 25 to 40 percent of the time of traditional rough cuts. The biggest absolute savings come on dialogue-heavy and footage-heavy projects, where transcription and search compress the most work.

What AI Still Can't Do

Be honest with yourself about the limitations. AI rough cut tools have specific weaknesses, and pretending otherwise leads to disappointment.

The takeaway is that AI is excellent at the mechanical layers of rough cut work and weak at the creative layers. The workflow above is designed around this -- AI handles the search, indexing, and assembly; you handle the creative refinement in Premiere Pro. Used this way, AI rough cut tools deliver real time savings without compromising the parts of the work that depend on human judgment.

For a side-by-side look at how this compares to fully manual editing, see our analysis of AI edit prep vs manual footage review. For a deeper look at the tools available, see our roundup of the best AI video editors for Premiere Pro.

Frequently asked questions