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

A side-by-side comparison of ABrush and MailToDock — 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

One-click conversion of Gmail emails into Google Tasks using AI to create manageable tasks from your inbox.

One-Click Task Creation: Converts a selected Gmail email into a Google Task with a single click to reduce friction when capturing work from your inbox.
AI-Powered Extraction: Uses AI to identify actionable items and relevant content from email text to populate the task title and details.
Direct Google Tasks Integration: Creates tasks directly in the user's Google Tasks account so items are tracked alongside existing task lists.
Inbox-Centric Workflow: Keeps task creation and management inside Gmail, minimizing context switching between apps and improving productivity.
Quick Capture for Follow-Ups: Enables rapid conversion of emails that require follow-up into manageable tasks for better tracking and completion.
Convert Gmail emails into Google Tasks with one click
AI-powered parsing of email content to generate task title and description
Populate task details (task content, context) automatically from email
Direct integration between Gmail and Google Tasks
In-inbox workflow to create tasks without switching apps
Creates tasks that reference the original email for context

Turning actionable emails into tracked tasks so follow-ups and to-dos are not lost in the inbox.
Rapidly capturing meeting-related action items from email threads into Google Tasks for scheduling and completion.
Managing client or customer requests by converting request emails into tasks assigned to a personal task list.
Organizing operational or project-related emails into task lists to maintain a clear workflow and status tracking.
Clearing inbox clutter by converting emails that require action into tasks and keeping the inbox for new messages.
Capture actionable items from emails into Google Tasks for personal productivity
Convert client requests and follow-ups into tasks to track deadlines
Organize inbox by turning emails into a task-oriented to-do list
Quickly create tasks from meeting notes, requests, or instructions received by email