Built-in app profile
Context-aware voice typing for LinkedIn
TalkMore helps LinkedIn users turn spoken professional thoughts into clear post or comment text that keeps the correction, audience, and requested action grounded.
LinkedInApp-aware example
What you said
“In LinkedIn, write that the workshop had 42 attendees, not 24, and ask Mara to share the recap link.”
LinkedInContext-shaped draft
OpenTypeless writes
Update: The workshop had 42 attendees, not 24. Mara, please share the recap link.
What changes here
OpenTypeless shapes the draft around LinkedIn while keeping final control with you.
Tone
LinkedIn posts where a corrected metric or date must be accurate.
Structure
For LinkedIn, TalkMore keeps wording polished but not inflated. It preserves final dates, numbers, and names, and avoids inventing achievements, praise claims, tags, or outreach promises.
Review boundary
OpenTypeless prepares text for review in LinkedIn. If the app is unknown, it uses the General fallback instead of app-specific assumptions.
Workflow
Use voice around LinkedIn without claiming direct app access.
LinkedIn posts where a corrected metric or date must be accurate.
LinkedIn comments that should sound professional without becoming stiff.
LinkedIn networking notes where the user wants a clear ask and no invented background.
Setup
Keep the same desktop flow, then tune the final text for this app.
Step 1
Start from the LinkedIn field you are editing
Open the composer, editor, comment box, or reply area in LinkedIn. TalkMore treats LinkedIn 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 LinkedIn without stopping to manually rewrite every clause. The social profile is tuned for professional posts, comments, and corrected networking updates, 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 LinkedIn, 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 LinkedIn needs it
Add only the context that should appear in the LinkedIn 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 LinkedIn. Unknown apps use the General fallback instead of app-specific assumptions.
TalkMore does not choose LinkedIn audiences, hashtags, mentions, or post settings.
TalkMore does not inspect LinkedIn profiles or conversations for missing context.
TalkMore cannot verify metrics, roles, or public claims beyond your dictated text.
Related profiles
Same-family pages for similar voice workflows.
FAQ
Does TalkMore connect to my LinkedIn account?
No. The LinkedIn profile describes how TalkMore shapes dictated text for that writing surface. It does not require account access to LinkedIn, 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 LinkedIn?
No. TalkMore prepares text for LinkedIn; you review and send, post, save, or submit it yourself. That keeps final control with the person writing in LinkedIn, which is important when the dictated note includes customer details, project dates, or teammate requests.
What should I check before using the LinkedIn result?
For LinkedIn, 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 LinkedIn, related apps, and the broader context-aware voice typing flow.