Aloud vs Praex: Features, Pricing & Which Is Better (2026)

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

Aloud

Wojciech Dobry

Free

Aloud records you talking through your app, cleans up what you actually meant, and hands your coding agents a precise plan with screenshots.

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.

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.

Freemium

Open-source AI coding copartner with its own Velox, Faber and Lucia models, available in terminal, mobile and web.

Own Model Family: Velox II, Faber II and Lucia II are tuned and served by Praex on its own infrastructure, sized from quick edits to frontier-scale problems.
Terminal CLI: Install with a one-line script and let the agent read files, run commands, edit code and verify tests directly in your terminal.
Cross-Device Sessions: Start a task in the terminal, steer it from your phone and review it on the web with the same agent, memory and session.
Bring Your Own Keys: Run Praex on any model with your own API keys or hardware at no extra cost.
Open-Source Core: The CLI is an MIT-licensed fork of opencode, so the agent harness can be inspected and modified.
No Sign-Up Chat: Start chatting on the web with the free Velox II model without creating an account.

Fixing Failing Builds: Hand the agent a broken deploy and let it read configs, run tests and patch source until tests pass.
Everyday Quick Edits: Use the free Velox II model for instant answers and small code changes in the terminal.
Deep Reasoning Tasks: Escalate to Faber II on Pro for complex coding and multi-step reasoning.
Mobile Task Steering: Kick off a refactor at your desk and monitor or redirect it from your phone.
Self-Hosted Workflows: Point the CLI at your own models or keys to keep code on infrastructure you control.