Built-in app profile
Context-aware voice typing for WhatsApp
TalkMore helps WhatsApp users dictate quick replies that feel like chat, not email, while keeping corrected times, names, and requests intact.
WhatsAppApp-aware example
What you said
“In WhatsApp, tell the group the train leaves at 8:15, not 8:50, and ask Nora to share the platform.”
WhatsAppContext-shaped draft
OpenTypeless writes
The train leaves at 8:15, not 8:50. Nora, can you share the platform?
What changes here
OpenTypeless shapes the draft around WhatsApp while keeping final control with you.
Tone
WhatsApp group updates where a corrected plan should be easy to read.
Structure
For WhatsApp, TalkMore keeps the wording friendly and compact. It removes repeated speech, honors the final correction, and does not add emojis, greetings, or extra commitments by default.
Review boundary
OpenTypeless prepares text for review in WhatsApp. If the app is unknown, it uses the General fallback instead of app-specific assumptions.
Workflow
Use voice around WhatsApp without claiming direct app access.
WhatsApp group updates where a corrected plan should be easy to read.
WhatsApp personal replies that need a clear ask.
WhatsApp messages where speech should become natural chat text.
Setup
Keep the same desktop flow, then tune the final text for this app.
Step 1
Start from the WhatsApp field you are editing
Open the composer, editor, comment box, or reply area in WhatsApp. TalkMore treats WhatsApp as the place where the final text will be used, so the wording stays close to that surface instead of becoming a generic transcript.
Step 2
Speak the thought in your normal order
Dictate the point, correction, and requested action for WhatsApp without stopping to manually rewrite every clause. The personal chat profile is tuned for group-chat updates, personal plans, and short corrected replies, so it can keep the useful meaning while cleaning the phrasing.
Step 3
Review the app-shaped output before sending
Read the TalkMore result in WhatsApp, especially names, dates, numbers, negations, and requested actions. The profile is designed to preserve what you said, but you stay in control before anything leaves the draft field.
Step 4
Keep private context out unless WhatsApp needs it
Add only the context that should appear in the WhatsApp text itself. TalkMore does not need raw app history, page content, or hidden account details to shape the dictated sentence, so the safest workflow is to speak the facts you want reflected and leave unrelated private context out.
Privacy and limits
OpenTypeless prepares text for you to review. It does not claim account access, endorsement, or a dedicated connection with WhatsApp. Unknown apps use the General fallback instead of app-specific assumptions.
TalkMore does not select WhatsApp chats or add contacts automatically.
TalkMore does not inspect WhatsApp group history for missing context.
TalkMore cannot confirm travel details or platform numbers unless you dictate them.
Related profiles
Same-family pages for similar voice workflows.
FAQ
Does TalkMore connect to my WhatsApp account?
No. The WhatsApp profile describes how TalkMore shapes dictated text for that writing surface. It does not require account access to WhatsApp, does not claim special product status, and does not need private account data to describe the right writing style.
Will TalkMore send text automatically from WhatsApp?
No. TalkMore prepares text for WhatsApp; you review and send, post, save, or submit it yourself. That keeps final control with the person writing in WhatsApp, which is important when the dictated note includes customer details, project dates, or teammate requests.
What should I check before using the WhatsApp result?
For WhatsApp, check proper names, final dates, numbers, requested actions, and any correction you spoke. TalkMore is meant to reduce rewriting, not replace judgment on sensitive or high-stakes text, so the final review should confirm the result still matches your intended meaning.
Download OpenTypeless
Use one desktop voice workflow across WhatsApp, related apps, and the broader context-aware voice typing flow.