Built-in app profile
DingTalk
Context-aware voice typing for DingTalk
TalkMore helps DingTalk users turn spoken coordination notes into clear chat-ready wording for workplace updates and direct asks.
DingTalkApp-aware example
What you said
“In DingTalk, say the sample count is 36, not 63, and ask Chen to update the tracker.”
DingTalkContext-shaped draft
OpenTypeless writes
Sample count is 36, not 63. Chen, please update the tracker.
What changes here
OpenTypeless shapes the draft around DingTalk while keeping final control with you.
Tone
DingTalk operations updates with corrected times or counts.
Structure
For DingTalk, TalkMore keeps the message compact and practical. It cleans up repeated speech, keeps the final correction, and avoids adding approvals, recipients, or deadlines that were not spoken.
Review boundary
OpenTypeless prepares text for review in DingTalk. If the app is unknown, it uses the General fallback instead of app-specific assumptions.
Workflow
Use voice around DingTalk without claiming direct app access.
DingTalk operations updates with corrected times or counts.
DingTalk team asks that should be clear in one short message.
DingTalk replies where the user wants polished wording without extra formality.
Setup
Keep the same desktop flow, then tune the final text for this app.
Step 1
Start from the DingTalk field you are editing
Open the composer, editor, comment box, or reply area in DingTalk. TalkMore treats DingTalk 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 DingTalk without stopping to manually rewrite every clause. The work chat profile is tuned for operations updates, team coordination, and short corrected requests, 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 DingTalk, 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 DingTalk needs it
Add only the context that should appear in the DingTalk 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 DingTalk. Unknown apps use the General fallback instead of app-specific assumptions.
TalkMore does not select DingTalk groups or add contact mentions.
TalkMore does not read DingTalk task or approval context for you.
TalkMore cannot verify counts, trackers, or operational status outside your dictation.
Related profiles
Same-family pages for similar voice workflows.
FAQ
Does TalkMore connect to my DingTalk account?
No. The DingTalk profile describes how TalkMore shapes dictated text for that writing surface. It does not require account access to DingTalk, 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 DingTalk?
No. TalkMore prepares text for DingTalk; you review and send, post, save, or submit it yourself. That keeps final control with the person writing in DingTalk, which is important when the dictated note includes customer details, project dates, or teammate requests.
What should I check before using the DingTalk result?
For DingTalk, 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 DingTalk, related apps, and the broader context-aware voice typing flow.