Vocemo — on-device AI for your Mac

What

Vocemo is an on-device AI productivity application built for macOS (Apple silicon and Intel) that handles audio, document, and visual tasks locally. It targets Mac users who require privacy-conscious tools for dictation, meeting transcription, document conversions, and translation without sending sensitive information to cloud servers. The product positions itself as a unified, private alternative to multiple standalone subscription services and web-based conversion utilities.

Features

• System-Wide Voice Typing: Dictates directly into any Mac application by holding a key, automatically stripping filler words and formatting digits while keeping audio local.
• On-Device Meeting Transcription: Transcribes live or pre-recorded audio with speaker diarization, summaries, and action items without requiring external bots to join calls.
• Local Document Utilities: Executes 21 document tasks locally, such as PDF editing, conversion to Word, OCR for searchable scans, and parsing receipts or bank statements into spreadsheets.
• Offline Translation and Read-Aloud: Translates text and full documents and provides customizable text-to-speech reading without requiring an active internet connection.
• Screen Analysis and Live Subtitles: Enables users to highlight on-screen areas to query content locally and generates live subtitles for video playback across languages.

Helpful Tips

• Hardware Verification: Ensure the device runs macOS 13 or later; while both Apple silicon and Intel are supported, Intel Macs do not offer voice cloning and feature slower local chat processing.
• Initial Model Download Planning: Allocate network bandwidth and disk space for the initial feature use, as the initial 6.6 MB installer downloads specific AI models on demand.
• Offline Operation Limits: Vocemo allows complete offline functionality once models are present, but it must connect online at least once every 14 days to validate licensing.

OpenClaw Skills

The provided website does not document any native APIs, webhooks, or direct integrations with OpenClaw. In a hypothetical implementation, an OpenClaw agent running locally on macOS could coordinate file system workflows with Vocemo, such as feeding ingested local receipts or meeting recordings into Vocemo's local processing directory and collecting the resulting Markdown or spreadsheet outputs for internal knowledge bases. This architecture could allow privacy-focused operations teams to run automated, end-to-end data processing pipelines without exposing corporate media or financial records to external cloud endpoints.