Hey everyone!  I built Ottex for people who write a lot during the day - slack messages, emails, tickets, meeting notes, follow-ups, CRM updates, etc. If your work mostly becomes written text somewhere, Ottex is made for you. **Problem:** Dictation tools help with typing. Meeting tools help with notes. But a lot of the actual work is what happens after that: turning thoughts into written work - formatting, adding structure, proper tone, etc. The kind you would otherwise spend 15 minutes cleaning up manually, or paste into ChatGPT, prompt it to polish, and then copy back into Slack, Gmail, Linear, Notion, or your CRM. **Comparison:** \- Compared with **Wispr Flow**, Ottex is for people who want more than voice-to-text. It is more like voice to finished result, a bit similar to the way you might paste rough text into ChatGPT and ask it to rewrite the text, except Ottex allows you to skip that extra step. Speak and get a finished result with perfect formatting, wording, tone, etc in one shot - Ottex automatically detects the app/website you are working with and applies your custom instructions to structure and format the output. (check out the demo on the landing page to get a feel for how it works) \- Compared with **Granola**, Ottex puts more emphasis on local ownership and model choice. Meeting transcripts live locally in the Mac app and auto-exported to local folders. That means you can point tools like Codex or Claude Code at the directory and ask questions about your own meeting history without depending on a hosted notes workspace. \- Compared with **VoiceInk**, **Spokenly**, **SuperWhisper**, and similar Mac dictation apps, the main differences are profiles (ability to assign custom formatting instruction per app/website) and meeting recording support. Ottex is not only a dictation tool. It is built for written communication and post-meeting work: emails, repli...

Voice AI is no longer just about commands it’s shaping how we interact with technology. Key areas driving innovation today include: ● Virtual Assistants: Natural, adaptive conversations ● Accessibility: Tools empowering users with disabilities ● Real-Time Translation: Breaking language barriers ● Customer Support: Faster, personalized responses ● Productivity: Voice-driven workflows Personally, I’m most excited about real-time translation and its potential to connect people across languages. Which of these Voice AI developments do you think will have the biggest impact on the industry?