Built-in app profile
Spark
Context-aware voice typing for Spark
TalkMore helps Spark users dictate a fast reply and receive concise email wording that fits a focused inbox workflow while preserving the facts the speaker actually said. It is useful when the reply is short, but the date, owner, or requested next step still needs to be exact.
SparkApp-aware example
What you said
“In Spark, say the review window closes May 14, not May 12, and ask Elena to use the newer date.”
SparkContext-shaped draft
OpenTypeless writes
Hi Elena, The review window closes May 14, not May 12. Please use the newer date, Elena.
What changes here
OpenTypeless shapes the draft around Spark while keeping final control with you.
Tone
Spark replies where a corrected deadline must replace an earlier one.
Structure
For Spark, TalkMore keeps the result brief and action-oriented. It resolves the latest correction, keeps the requested next step visible, and avoids adding team assignments, signatures, or Smart Inbox details that were not spoken. That keeps the draft usable for quick triage without turning a focused reply into a long formal email.
Review boundary
OpenTypeless prepares text for review in Spark. If the app is unknown, it uses the General fallback instead of app-specific assumptions.
Workflow
Use voice around Spark without claiming direct app access.
Spark replies where a corrected deadline must replace an earlier one.
Spark follow-ups that need a clean ask without extra email ceremony.
Spark delegated notes where the wording should stay short and reviewable.
Setup
Keep the same desktop flow, then tune the final text for this app.
Step 1
Write from the Spark reply field
Open the Spark composer or reply area where the final note belongs. TalkMore shapes the dictated text for this email surface while keeping the final wording under your review.
Step 2
Dictate the correction and action together
Say the Spark reply fact, the correction, and the requested action in one pass. This email profile keeps the latest correction as final and removes speech clutter.
Step 3
Keep the inbox context explicit
Speak the date, person, and ask that should appear in Spark instead of relying on hidden thread history. TalkMore does not inspect the inbox, so the safest result comes from the facts you provide.
Step 4
Check facts before using the result
Review the Spark output for names, dates, numbers, negations, and actions. TalkMore prepares text; you decide whether to send, save, or keep editing it.
Privacy and limits
OpenTypeless prepares text for you to review. It does not claim account access, endorsement, or a dedicated connection with Spark. Unknown apps use the General fallback instead of app-specific assumptions.
TalkMore does not choose Spark recipients, teams, or shared inbox actions.
TalkMore does not inspect Spark thread history for context you did not dictate.
TalkMore cannot verify review dates or inbox status beyond the spoken text.
Related profiles
Same-family pages for similar voice workflows.
FAQ
Does TalkMore connect to my Spark account?
No. TalkMore uses the Spark profile to shape dictated text for that writing surface; it does not require account access or private app history.
Will TalkMore send from Spark automatically?
No. TalkMore prepares text for Spark, and you review the result before any send, save, or shared inbox action.
What should I verify in Spark?
Check names, dates, numbers, negations, and requested actions in Spark. TalkMore reduces rewriting, but you remain responsible for the final email wording.
Download OpenTypeless
Use one desktop voice workflow across Spark, related apps, and the broader context-aware voice typing flow.