Skip to main content
SideNote Pro
  • Features
  • Guide
  • Tips
  • FAQ
  • Privacy
Home/Features

Send a screenshot to AI without leaving Windows

Some questions are far easier to show than to describe. SideNote Pro has native screen capture built in, so an error dialog, a chart or a broken layout can go straight into a conversation without a round trip through a separate screenshot tool.

On this page

  1. Four capture modes
  2. Other ways to attach an image
  3. Your model needs image support
  4. Nothing is watching your screen

Four capture modes

Screenshot modes available from the composer
ModeWhat it captures
RegionA rectangle you drag over any part of the desktop
Active windowThe window that was in front before you summoned SideNote Pro
Current screenThe full pixel bounds of one monitor, not just its work area
Entire desktopThe whole Windows virtual desktop across every display

Region capture temporarily hides SideNote Pro, captures the virtual desktop as a visible backdrop, and shows a translucent selection overlay. You drag out the area you want and see a blue selection rectangle; Esc or a right-click cancels. The selected region is attached to your pending request as a PNG.

Active-window capture remembers the foreground window from the summon or capture flow, so it captures what you were looking at rather than the assistant itself, and uses DWM visible-frame bounds where available. Capture works in physical coordinates throughout, so multiple displays and negative virtual-desktop positions behave correctly.

Other ways to attach an image

  • The image picker. PNG, JPEG or JPG, and WebP.
  • Drag and drop onto the assistant window.
  • Clipboard paste with Ctrl+V when the clipboard holds a bitmap. Useful with the Windows snipping tools you already use.
  • The built-in screenshot tool, described above.

Up to five images can be pending per request. They are previewed locally before sending, can be removed from the composer individually, and are kept in deterministic order so *the first image* means what you expect. They travel to your provider as base64 data URLs in the OpenAI-compatible multimodal message shape.

Your model needs image support

Multimodal input is a model capability, not an application one. SideNote Pro can format and send the image correctly to any OpenAI-compatible endpoint, but a text-only model will refuse it or ignore it. If images seem to be dropped, check the model rather than the app. This applies to local providers too: many small local models are text-only.

SideNote Pro does not perform OCR of its own. Whatever text a model can read out of your screenshot, it reads with its own vision capability.

Nothing is watching your screen

This deserves to be stated flatly, because *screen awareness* has become a common feature in this category and it is not what SideNote Pro does. There is no background capture, no periodic screenshotting, no ambient screen understanding and no monitoring service.

A screenshot exists because you started one. A clipboard image is read because you pressed Ctrl+V. And an attached image is transmitted only when you send the message it is attached to. Protected or DRM-restricted surfaces may still come out blank, because Windows blocks their capture regardless of who is asking.

Keep reading

  • Screenshots and imagesCapture, attach, and ask questions that use the image well.
  • Local-first privacyThe exact boundary between your machine, your AI provider, and the licensing service.
  • For developersRepository questions, error triage, and knowing when to escalate.
  • Document inputPDF, DOCX, TXT and Markdown extracted locally, then sent as text to your provider.

Product

  • Features
  • Bring your own key
  • Windows AI sidebar
  • Local folder context
  • Local-first privacy

Guide

  • All guides
  • Getting started
  • OpenAI setup
  • Choosing a model
  • Troubleshooting

Resources

  • Tips and tricks
  • FAQ
  • BYOK and privacy
  • Reduce API costs
  • Contact
SideNote ProDeveloped by BediniLabs
  • Privacy
  • Terms & Conditions
  • Contact
© 2026 BediniLabs