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‘Nice Touch’ Workflow Assistant for Premiere Pro and DaVinci Resolve Introduced

February 13th, 2026Jump to Comment Section1
'Nice Touch' Workflow Assistant for Premiere Pro and DaVinci Resolve Introduced

Recently, we’ve been seeing a growing number of AI tools in postproduction shift away from standalone platforms and toward tighter integration within established editing workflows. Nice Touch enters this space as a workflow assistant built for professional video editing teams working primarily in Adobe Premiere Pro and DaVinci Resolve. It doesn’t replace the NLE; it runs alongside it, focusing on footage analysis, early rough assemblies, and brief refinement through a conversational interface. Let’s take a look.

The focus here is speeding up that first pass. Instead of manually building stringouts or assembling interview selects from scratch, the editor can prompt the system to organize material against a brief and produce a rough structure to react to. That rough cut remains fully editable inside Premiere or Resolve, where shaping, pacing, and decision-making still happen. The 45-second demonstration below shows this process in action, with the editor prompting the system to build and refine an initial assembly before continuing work inside the NLE.

Interface design and familiarity

One of the more deliberate design decisions behind Nice Touch is familiarity. According to the company, the interface borrows heavily from the visual structure of professional NLEs, with restrained panels and a layout that feels consistent with Premiere Pro or Resolve. For editors who spend most of their day inside those environments, that visual continuity matters.

Structurally, the workspace is divided into two main areas. The Project panel is where users set up their work, including naming the project, adding a brief, and connecting to the NLE. The AI Editor functions as a text-driven workspace where the editor can interact with the analyzed material and request specific outcomes.

Image credit: Nice Touch

How it works

Once a project is connected, Nice Touch reviews the available footage along with transcripts and any brief or project notes. The editor can then type simple prompts to organize material around a theme, surface relevant moments, generate a rough assembly, or isolate shorter segments suitable for social cutdowns. The system processes the footage and produces a draft sequence that appears inside the NLE, where the editor can immediately continue cutting, trimming, and reshaping the material as usual.

Image credit: Nice Touch

Where it fits in a real workflow

In practice, a tool like this makes the most sense in projects with a large amount of dialogue-driven material, interviews, or repeatable formats where similar versions need to be assembled quickly. In those situations, the mechanical work of building stringouts, organizing takes, and roughing out a structure can take hours. Reducing that effort at the start can free up more time for pacing and refinement.

It’s less about replacing editorial judgment and more about removing repetition. The shaping of performance, the rhythm of a scene, and the final narrative decisions still happen inside the NLE. Nice Touch appears aimed at shortening the path to a workable draft rather than redefining how editors construct a story. The company also states that Nice Touch does not store client IP or train its models on user content, which may be particularly relevant for commercial or broadcast teams handling sensitive footage.

Image credit: Nice Touch

Price and availability

Nice Touch is currently available through the company’s website. Pricing has not been publicly disclosed; interested teams are directed to contact the company directly for further information. More details, including the short demonstration video, can be found at nicetouch.app.

Would a tool like this meaningfully reduce the time you spend building first-pass assemblies? Would you feel comfortable integrating an assistive layer into your NLE environment, or do you prefer keeping that process entirely manual? Let us know in the comments.

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