speaker diarization
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Speakr v0.8.0: New Diarization & REST API
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Speakr v0.8.0 introduces new features for its self-hosted transcription app, enhancing user experience with additional diarization options and a REST API. Users can now perform speaker diarization without a GPU by setting the TRANSCRIPTION_MODEL to gpt-4o-transcribe-diarize, utilizing their OpenAI key for diarized transcripts. The REST API v1 facilitates automation, compatible with tools like n8n and Zapier, and includes interactive Swagger documentation and personal access tokens for authentication. The update also improves UI responsiveness for lengthy transcripts, offers better audio playback, and maintains compatibility with local LLMs for text generation, while simplifying configuration through a connector architecture that auto-detects providers based on user settings. This matters because it makes advanced transcription and automation accessible to more users by reducing hardware requirements and simplifying setup, enhancing productivity and collaboration.
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Transcribe: Local Audio Transcription with Whisper
Read Full Article: Transcribe: Local Audio Transcription with Whisper
Transcribe (tx) is a free desktop and CLI tool designed for local audio transcription using Whisper, capable of capturing audio from files, microphones, or system audio to produce timestamped transcripts with speaker diarization. It offers multiple modes, including file mode for WAV file transcription, mic mode for live microphone capture, and speaker mode for capturing system audio with optional microphone input. The tool is offline-friendly, running locally after the initial model download, and supports optional summaries via Ollama models. It is cross-platform, working on Windows, macOS, and Linux, and is automation-friendly with CLI support for batch processing and repeatable workflows. This matters as it provides a versatile, privacy-focused solution for audio transcription and analysis without relying on cloud services.