Aloud vs sizeless: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Aloud and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
A
Aloud
Wojciech Dobry
Aloud records you talking through your app, cleans up what you actually meant, and hands your coding agents a precise plan with screenshots.
Key features
- Synchronized Voice, Screen, and Transcript Capture: Records all three together for sessions lasting minutes or hours, while keeping the recorder UI itself out of the captured video.
- Intent-Aware Transcript Cleanup: Rewrites raw speech into what you meant — merging split sentences, removing filler, and keeping only the calls you stood by after changing your mind.
- Automatic Screenshot Resolution: Detects deictic phrases like 'this', 'here', or 'that button' and suggests the exact recording frame, with per-frame scrubbing and cropping before insertion.
- Clarifying Questions: When a request such as 'make it feel lighter' is ambiguous, Aloud asks and offers concrete options rather than guessing at your intent.
- Task Grouping and Planning: Organizes feedback into named groups and tasks, tagging each with the model tier it needs — fast model versus reasoning.
- Self-Contained Agent Export: Produces one file with prompt and images included that drops straight into Claude Code, Cursor, or Codex.
- On-Device Whisper Transcription: Audio and video are processed locally on Apple silicon and never leave the Mac; only transcript text is sent when you ask for cleanup.
Best for
- Reviewing an Agent-Built UI: Walk through a freshly generated interface out loud and hand back a precise, screenshot-annotated punch list instead of typing every nit.
- Reducing Ambiguous Prompts: Avoid the wasted agent runs and token spend that follow vague feedback, by catching ambiguity while you are still pointing at the screen.
- Long-Form Design Critique: Capture an hour of design commentary in one pass and let Aloud distill it into discrete, actionable tasks.
- Async Feedback Handoff: Non-engineers record their reactions to a build and the export goes directly to whoever's agent is doing the work.
- Bug Reporting with Visual Context: Narrate a reproduction while recording, so every step arrives paired with the frame that shows the problem.
- Privacy-Sensitive Workflows: Teams that cannot send screen recordings to a cloud service keep audio and video entirely on-device.
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