
Aloud records you talking through your app, cleans up what you actually meant, and hands your coding agents a precise plan with screenshots.
Aloud records you talking through your app, cleans up what you actually meant, and hands your coding agents a precise plan with screenshots.
Aloud is a macOS app that turns spoken product feedback into instructions a coding agent can act on. You hit record and talk through the build the way you would to someone sitting next to you, while Aloud captures voice, screen, and a live transcript together and keeps the recorder itself out of the video. It then rewrites the raw transcript into what you actually meant — merging fragments, dropping filler, and honoring the moments where you reversed yourself mid-sentence — and resolves deictic language by suggesting the exact frame you were pointing at when you said 'this', 'here', or 'that button'. Where a request could be read two ways, Aloud asks a short clarifying question instead of guessing. The result is grouped into tasks and exported as one self-contained file you drop into Claude Code, Cursor, or Codex. Transcription runs on-device with Whisper, so audio and video never leave the Mac and only transcript text is sent out when you request the cleanup.
Aloud records you talking through your app, cleans up what you actually meant, and hands your coding agents a precise plan with screenshots.
Aloud works by combining 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. to help users with 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..
Key features include 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..
Aloud is useful for anyone interested in 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..
Aloud is free to use.
Visit https://aloud.sh/ to sign up and explore Aloud.
Browse by use case: Voice & Audio
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