Blaizzy
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nativ
Nativ is a native macOS app that lets you run AI models locally on Apple silicon, offering chat, model management, performance analytics, and an OpenAI/Anthropic-compatible API server.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It combines real-time on-device Whisper-based transcription with optional AI translation, editable transcript revisions, full-text search, and ICS timetable integration, all while prioritizing privacy and requiring user consent before recording.
Who it is for
- Non-native English-speaking students attending English lectures
- Educators who want to create searchable, bilingual lecture archives
- Self-learners studying recorded or live English courses
- Researchers needing time-stamped, revision-tracked transcripts
Use cases
- Live captioning of English lectures with optional Chinese translation displayed in a floating window
- Building a searchable lecture library with bookmarks, notes, and exports (Markdown, SRT, JSON, PDF)
- Structuring study notes that link directly to specific transcript revisions for evidence
- Managing weekly class schedules via ICS import and automatic sync
Strengths
- Local-first design: audio capture and English ASR run entirely on-device, ensuring privacy and offline capability
- Editable transcript timeline with revision history, preserving previous versions for audit
- Full-text search across transcripts, translations, notes, and bookmarks with timestamped results
- Explicit consent flow and recording policy acknowledgment to encourage ethical use
Considerations
- English-only speech recognition in the production path, no multilingual support
- Translation requires a separately configured OpenAI-compatible API endpoint, which may incur costs
- No speaker diarization; pre-built binary not provided – must build locally from source
README quick start
Quick Start
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