ABrush vs Kogvio: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of ABrush and Kogvio — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

ABrush

Freemium

AI image generation and editing studio that runs as a panel inside Adobe Photoshop, with 23+ models, ControlNet, LoRA styles and layer-native output.

Photoshop-native panel: Generation, editing and upscaling happen on the open document and land on real layers, with no export-import round trip
23+ models in one panel: Switch between Stable Diffusion, Flux, Qwen Image and others per stage of a piece rather than committing to one provider
Targeted editing: Inpaint or regenerate only the region that needs changing, keeping the rest of the composition untouched
Pro conditioning controls: ControlNet support plus IP-Adapter and reference images for pose, composition and style control
Custom LoRA styles: Load your own LoRA or style models to keep generations consistent with an established look
Generation history: Every generation is saved and recoverable, so artists can return to an earlier variation without regenerating
Shareable presets: Save prompts and settings as presets and share them across a team to reproduce a house style
Commercial-safe data policy: Generated images belong to the user and customer images are not used for model training

A concept artist generating multiple variations of a character directly in the working file and painting over the strongest one
A retoucher fixing a single element of a composite with inpainting rather than regenerating the whole image
A studio distributing a shared preset pack so several artists produce work in a consistent house style
A freelance illustrator using a custom LoRA to keep generated assets on-style with a client's brand
A designer upscaling and cleaning up a low-resolution asset without leaving Photoshop
An agency handling commercial client work that needs assurance the images aren't used for model training

Freemium

Chrome extension that overlays an AI vision agent on any screen to decode diagrams, math, handwriting, and technical docs without leaving your tab.

Highlight-to-Understand Overlay: Draw a box over any part of the screen and get an instant explanation without leaving the active tab.
Keyboard-only Trigger: Global Cmd/Ctrl + Shift + E shortcut keeps users in flow — no mouse or context switch required.
Messy Handwriting OCR: Vision engine reads bad handwriting, photographed physical notes, and board formulas that generic OCR misses.
Native LaTeX Rendering: Complex math equations are rendered inline as LaTeX rather than raw ASCII.
Color-Coded Code Blocks: Programming snippets keep syntax highlighting when rendered in Kogvio's response panel.
Contextual Chat: Ask follow-up questions about a specific part of the scanned region (e.g., 'what does node 3 represent here?') without re-uploading.
No API Key Required: Runs on Kogvio's backend — users don't need their own ChatGPT or Gemini account.
Cross-Platform via Chromium: Works on Mac, Windows, and Linux through Chrome, Brave, or Edge.

Studying Dense Material: Students highlight equations or diagrams in PDFs and lecture slides to get inline explanations.
Decoding Technical Diagrams: Engineers and architects hover Kogvio over system diagrams to identify components and flow.
Reading Board Photos: Learners scan photos of whiteboard/blackboard formulas and get a clean LaTeX transcription.
Understanding Code in Docs: Developers highlight code snippets in technical documentation for quick contextual explanation.
Rapid Research: Analysts working through equations or notation in academic papers ask follow-ups without leaving the page.
Handwritten Note Digitisation: Users scan photographed personal notes into readable, formatted content.