Viska: Private AI Meeting Notes

Introduction to Viska: Private AI Meeting Notes

Viska is a mobile application designed for private, offline voice recording, transcription, and AI-powered note analysis. It enables users to capture meetings, lectures, interviews, or personal voice memos without transmitting audio or text data to remote servers. Target users include professionals handling sensitive information—such as legal counsel, healthcare providers, journalists, executives, and researchers—as well as privacy-conscious individuals who require full control over their voice and textual data.

Unlike cloud-based AI transcription services, Viska performs all processing locally on the user’s device. This eliminates reliance on internet connectivity and removes risks associated with third-party data storage, surveillance, or unintended data exposure. The app supports both iOS and Android platforms and operates as a one-time purchase with no recurring subscriptions.

Key Takeaways

• Records high-fidelity audio directly on-device with no cloud uploads
• Uses OpenAI’s Whisper speech-to-text model running entirely offline for accurate transcription
• Integrates local large language models (e.g., Llama, Qwen) for AI chat, summarization, and action-item extraction
• Stores all recordings, transcripts, and AI interactions using end-to-end encryption on the device
• Supports transcript editing, find-and-replace functionality, and encrypted export/import for device migration
• Works fully offline: no internet connection required for recording, transcription, or AI interaction
• Offers plain-text transcript export; PDF and JSON export options are planned for future release
• Requires iPhone 14 or newer for optimal iOS performance; Android requires 8GB+ RAM for reliable AI chat functionality

How Viska Works

Viska follows a four-step local-first workflow. First, the user taps the record button to capture audio—whether a meeting, lecture, or voice memo—with no data leaving the device. Second, the on-device Whisper model processes the audio file to generate a text transcript, operating without internet access and preserving complete data isolation. Third, users review and edit the transcript using built-in tools including find-and-replace to correct common transcription errors, with all changes saved to the encrypted local vault. Fourth, users interact with a locally deployed LLM to ask questions about the transcript, request summaries, extract key dates or action items, or clarify content—all computations occurring exclusively on the device.

The application architecture ensures that no component—audio input, speech-to-text inference, language model reasoning, or data storage—depends on external infrastructure. Model weights for Whisper and the LLM are downloaded once during setup and remain resident on-device. Encryption keys are generated and managed locally, meaning even physical access to the device’s storage does not permit plaintext access to notes without authentication.

Core Benefits and Applications

Viska supports use cases where confidentiality and data sovereignty are critical. Legal professionals can transcribe client consultations without violating attorney-client privilege requirements. Healthcare workers may document patient discussions in compliance with HIPAA-like regulations when used on appropriately secured devices. Journalists conducting off-the-record interviews can preserve source material privately. Researchers collecting qualitative data benefit from verbatim transcription without exposing interview content to external services. Additionally, students and knowledge workers use Viska for lecture notes, idea capture, and meeting follow-ups—retaining full ownership and portability of their intellectual output through encrypted backups and cross-device transfers.