Kogvio vs sizeless: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Kogvio and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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Kogvio
Kogvio
Chrome extension that overlays an AI vision agent on any screen to decode diagrams, math, handwriting, and technical docs without leaving your tab.
Key features
- 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.
Best for
- 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.
sizeless
sizeless
Turns a smartphone video of an open trench into a centimetre-accurate 3D point cloud, CAD as-built plan and GIS-ready digital twin of buried utilities.
Key features
- Smartphone capture: Field crews record an open trench with a standard iPhone Pro — no specialist scanning hardware and no separate surveying appointment
- Centimetre-accurate point clouds: Reconstruction algorithms developed at ETH Zurich build a high-resolution 3D point cloud of the excavation from the video alone
- Standards-compliant CAD output: Generates as-built plans in DWG and DXF, with couplings and pipe runs identified and measurements simplified
- 3D digital twin and GIS export: Produces a model of the pipe route including building entries that drops into existing GIS systems
- Works without GPS: Captures basement sections and building entry points where GNSS-based surveying fails
- Immediate backfilling: Because capture takes minutes, trenches close right after filming instead of waiting on a survey crew
- Documentation in about 72 hours: Complete records arrive weeks earlier than conventional surveying, enabling prompt connection billing
- Third-party utility capture: Records crossing utilities and as-laid geometry as unbroken 3D evidence, replacing hand sketches
Best for
- A utility network operator documenting residential service connections without booking a surveyor for every site
- A contractor closing a trench the same day instead of leaving it open pending a survey appointment
- Capturing a building entry point in a basement where GPS-based surveying cannot get a fix
- A district heating project producing as-built DWG plans for regulatory sign-off
- Spotting a laying error in the 3D point cloud before backfilling, while the fix is still cheap
- Feeding as-built pipe geometry into a GIS system for long-term network maintenance planning