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VSCO introduces AI Lab with a new Remove feature for photographers

The new VSCO Remove feature uses AI from Black Forest Labs’ FLUX.1 model to smartly clean up images without damaging authenticity or detail.

By
Shubham Sawarkar
Shubham Sawarkar's avatar
ByShubham Sawarkar
Editor-in-Chief
Shubham Sawarkar is a technology journalist at GadgetBond, covering Apple, AI, consumer technology, software, gadgets, and product launches. His work explores emerging technologies, industry developments, product...
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Oct 20, 2025, 3:51 AM EDT
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VSCO app
Image: VSCO
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VSCO has spent the last decade-plus cultivating a reputation as the app for people who take mobile photography seriously — not just a place to slap a filter on and call it a day, but a workshop of sorts where taste and subtlety matter. That’s why the company’s October 15, 2025, launch of AI Lab — and its first feature, Remove — feels both inevitable and fraught: inevitable because every editing competitor is leaning into AI, fraught because VSCO’s brand is built on authenticity and craft.

A gentle but decisive entry into AI

Remove does exactly what the name promises: point at something in a photo you don’t want (a trash can in the skyline, a photobomber, a stray power line), and VSCO’s model will try to erase it and fill the gap in a way that looks natural — and crucially, at the image’s full resolution. The UI is familiar: brushes, tap-to-remove, and a lasso selection for more precise work. VSCO positions Remove as more of an automation of tedious pixel-level work than a way to invent new realities — the company says edits are non-destructive, and originals are preserved.

VSCO app interface
Image: VSCO

Behind the feature is a partnership with Black Forest Labs: VSCO’s AI Lab uses FLUX.1 Kontext, a model family designed for in-context image editing and generation, combined with VSCO’s in-house tooling to make outcomes feel, in the company’s words, “authentic, not artificial.” FLUX.1 Kontext is built for understanding local image context — which, in theory, helps it patch backgrounds and textures in a way that matches a scene’s grain, lighting and color.

Why this matters to photographers

For many photographers — especially those who shoot on mobile or who do a lot of quick edits — a faster, more accurate remove tool is a real time-saver. What used to require careful cloning or Photoshop-level healing can now be an interaction or two. VSCO’s pitch isn’t “make impossible edits,” it’s “take boring chores off your plate so you can spend more time on composition and vision.” That framing is intentional: CEO Eric Wittman told Engadget that VSCO’s approach is “photographer-centric” and that AI’s role should be to support, not replace, creator work.

Still, that support-versus-replacement distinction is a thin line. Photo communities prize provenance and honesty; tools that make it easy to remove, add, or alter elements can undercut trust if used carelessly. VSCO seems aware of the optics — Wittman emphasized preserving image quality and the integrity of creators’ work as guiding principles. Whether that reassurance will settle critics depends on how visible and detectable edits are, and on the norms that develop around disclosure.

The tech: FLUX.1 Kontext and VSCO’s pipeline

If you dig into the technical claims, the interesting part is less the concept of “AI remove” and more the stack choice. FLUX.1 Kontext markets itself as a model optimized for in-context editing: give it an image and a targeted instruction, and it will produce coherent, context-aware fills without wrecking textures or introducing obvious artifacts. VSCO combines that general-purpose capability with a processing pipeline it says is tuned for photographic authenticity (color fidelity, grain, preserving composition). That combination is meant to avoid the common early-AI pitfalls: oversmoothing, color shifts, and weird artifacts at high resolutions.

VSCO also says AI Lab supports high-resolution RAW files and performs edits non-destructively. That’s not trivial: delivering convincing fills on 24–45MP RAW images on mobile (or even mobile-to-cloud) requires both a capable model and a backend that preserves data fidelity while managing latency and compute. PetaPixel and other outlets note VSCO’s support for RAW and the promise of full-resolution outputs as a selling point to prosumer and professional photographers.

Pro-only, for now

VSCO’s Remove is not free. The feature lives under the AI Lab umbrella and is accessible to VSCO Pro subscribers through the VSCO Studio app on iOS (the company says Android support is planned, but hasn’t given a date). The Pro tier is priced at about $12.99 per month or $59.99 per year, and includes a broader toolkit of editing and profile features beyond the AI tools. For VSCO, bundling AI into Pro is both a revenue move and a way to keep potentially controversial capabilities behind a paid gate and a community that already understands photographic standards.

That approach mirrors how other apps have rolled out advanced AI features — gate the most powerful tools behind subscriptions, so power users pay for convenience while the company retains control over distribution and potential misuse. It also raises the question of accessibility: if the best AI edits live behind a paywall, who gets to define the visual language of “good” editing? For a platform that built an identity around taste, that’s an interesting tension.

VSCO’s AI Lab is a cautious, photographer-focused foray into a technology that’s already reordering how photos are made and edited. The Remove tool is an exercise in pragmatism: automate the tedious, keep the original, and pitch the tech as a prosthetic for the photographer’s hand rather than a replacement for their eye. Whether that posture holds up depends on real-world performance, the company’s transparency about what the AI does, and how creators choose to use — or not use — the new tools. For those who’ve built their taste and reputation on subtlety, VSCO’s move will feel like a useful new brush in the kit or, for some, an unsettling sharpener on the blade.


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