Built-in app profile
Lark
适用于 Lark 的上下文感知语音输入
TalkMore 帮助 Lark 用户把口述内容整理成适合团队聊天的简洁消息。只有在开启 AI 润色时，它才会根据本地识别出的 Lark 写作场景调整语气；识别不到时会使用 General 通用方式。
LarkApp-aware example
What you said
“在 Lark 里说，导出是十点四十完成，不是十点二十，请对方核对总数。”
LarkContext-shaped draft
OpenTypeless writes
导出完成时间是 10:40，不是 10:20。请核对总数。
What changes here
OpenTypeless shapes the draft around Lark while keeping final control with you.
Tone
Lark 更新里有日期、数字或状态修正，需要最终版本更醒目。
Structure
在 Lark 场景下，TalkMore 倾向于短句、明确动作和工作聊天语气。它会保留最后一次修正，避免把消息改成正式邮件，也不会编造提及、文档链接、审批结果或承诺。不同语音识别和 AI 润色供应商的输出细节可能略有差异。
Review boundary
OpenTypeless prepares text for review in Lark. If the app is unknown, it uses the General fallback instead of app-specific assumptions.
Workflow
Use voice around Lark without claiming direct app access.
Lark 更新里有日期、数字或状态修正，需要最终版本更醒目。
Lark 里给同事的轻量提醒，需要直接但不生硬。
Lark 跨团队回复，需要把口述里的动作要求整理清楚。
Setup
Keep the same desktop flow, then tune the final text for this app.
Step 1
Start from the Lark field you are editing
Open the composer, editor, comment box, or reply area in Lark. TalkMore treats Lark 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 Lark without stopping to manually rewrite every clause. The work chat profile is tuned for 跨团队更新、快速决定和带修正的任务消息, 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 Lark, 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 Lark needs it
Add only the context that should appear in the Lark 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 Lark. Unknown apps use the General fallback instead of app-specific assumptions.
TalkMore 不会为你选择 Lark 群组、添加提及或发送消息。
TalkMore 不会读取 Lark 文档、聊天记录或审批内容来补全事实。
TalkMore 无法验证运营数据、时间戳或总数是否真实，只处理你说出的内容。
Related profiles
Same-family pages for similar voice workflows.
FAQ
Does TalkMore connect to my Lark account?
No. The Lark profile describes how TalkMore shapes dictated text for that writing surface. It does not require account access to Lark, 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 Lark?
No. TalkMore prepares text for Lark; you review and send, post, save, or submit it yourself. That keeps final control with the person writing in Lark, which is important when the dictated note includes customer details, project dates, or teammate requests.
What should I check before using the Lark result?
For Lark, 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 Lark, related apps, and the broader context-aware voice typing flow.