Owl Meeting

Introduction to Owl Meeting

Owl Meeting is a powerful and lightweight speech productivity tool designed for efficient meeting recording and transcription. It leverages local AI technology to ensure total privacy, with all data processed offline without the need for an internet connection. The product offers high-precision offline transcription, automatic speaker diarization, and seamless integration with local large language models (LLMs) such as Ollama for advanced text correction, translation, and summarization.

With a focus on user convenience and performance, Owl Meeting delivers blazing-fast CPU-based processing, eliminating the need for GPU acceleration. It supports real-time audio-to-text conversion, as well as the transcription of video and audio files. The software also includes robust features like custom dictionaries, speaker-specific recognition models, and a built-in interface for managing transcripts and historical records.

Takeaways

• Local Processing: All data is processed offline, ensuring complete privacy and no sensitive information leakage.
• High-Precision Transcription: Offers accurate and fast transcription using advanced ASR models.
• Speaker Diarization: Automatically identifies and separates different speakers in a conversation.
• Custom Dictionaries & Models: Allows users to assign specific recognition models to individual speakers for improved accuracy.
• Integrated LLM Support: Built-in Ollama for text correction, translation, and summarization.
• Powerful Editing Tools: Includes batch editing, text-to-audio navigation, and customizable prompts.
• Cross-Platform Compatibility: Supports Windows 10 and above, as well as macOS with optimized performance.

How Owl Meeting Works

Owl Meeting operates by capturing audio input either in real time or from pre-recorded files. It uses advanced automatic speaker diarization to distinguish between different participants, assigning unique recognition models based on voiceprint analysis. This ensures higher accuracy in transcriptions. Once the audio is transcribed, users can leverage built-in tools for editing, correcting, and enhancing the text through integrated LLMs like Ollama. The system also allows for custom prompt configurations to tailor AI assistance to specific tasks.

Core Benefits and Applications

The product is ideal for professionals who require secure, fast, and accurate meeting transcription, especially in environments where privacy and control over data are critical.