GhostWriter by MyHandler vs Hand Wave: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of GhostWriter by MyHandler and Hand Wave — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
GhostWriter by MyHandler
MyHandler.ai
Windows writing assistant that reads the screen around your cursor on a hotkey double-tap and types a context-aware draft in your voice.
Key features
- Hotkey Double-Tap Drafting: No prompt or dictation is needed — a double-tap with the cursor in any text field triggers capture and drafting directly in place.
- Screen Context Capture: Reads the thread, form or partial sentence surrounding the cursor locally on the machine, using that on-screen context as the entire input.
- Writing Intent Classification: Determines whether the moment calls for a reply, a continuation, a filled-in answer or a fresh compose before writing a single word.
- Sender and Identity Mapping: Maps each message in a thread to its sender and works out which handle is the user's, so the draft answers the other party rather than the user's own words.
- Calendar Cross-Check: When a draft proposes a time, it is validated against the next two weeks of a connected calendar before the text appears.
- Selection Rewriting: Selecting existing text before the hotkey rewrites that selection instead of composing something new.
- Nothing Sent Automatically: The generated text appears at the cursor for the user to read, edit or delete; sending always remains a manual step.
- Local Vault with Zero-Retention Cloud: Capture runs against an encrypted vault on the user's own PC and the assembled context is processed by a zero-data-retention cloud model.
Best for
- Email Backlog: Clearing a queue of owed replies by drafting each one from the thread already on screen instead of retyping the same answer.
- Chat and Slack Replies: Answering a message in a team chat where the draft is grounded in who asked whom for what in the visible thread.
- Web Form Completion: Filling a blank answer box under a question on a web form or application without switching to a separate chat window.
- Sentence Continuation: Picking up a half-written paragraph exactly where it stops, without the assistant restating what was already typed.
- Meeting Scheduling Replies: Responding to a request for a time with a proposal that has already been checked against the user's calendar.
- Tone-Sensitive Rewrites: Selecting a blunt or rough draft and having it rewritten in the user's own voice before sending.
Hand Wave
Aadi Sanghvi
Real-time sign language recognition for a webcam or screen share that turns hand signs into text and speech in the browser.
Key features
- Live Camera Recognition: Recognises sign language directly from the device webcam without an install.
- Screen Share Recognition: Runs against any screen share, so signs in a video call can be captioned live.
- Text and Speech Output: Emits the recognised signs as caption text and can speak them out loud.
- On-Device Vision: Model runs in the browser tab — the video stream is not uploaded to a server.
- Zero-Setup Web App: Opens in the browser with two buttons — Start Camera or Share Screen.
- Smart-Glasses Friendly: Designed to work with a phone or smart-glasses camera feed for real-world conversations.
Best for
- Deaf-Hearing Conversations: Sign into the camera and let a hearing person read or hear the translation live.
- Accessible Video Calls: Add a live sign-to-text overlay to Zoom/Meet calls via screen share.
- Live Stream Captions: Twitch or YouTube creators who sign can auto-caption their broadcast.
- Classroom and Meeting Access: A Deaf student or colleague signs, everyone else sees text in real time.
- Assistive Wearables: Pair with smart glasses so signs are turned into audible speech for the person opposite.