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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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Meeting Transcription CLI with Small Language Models
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A new command-line interface (CLI) for meeting transcription leverages Small Language Models, specifically the LFM2-2.6B-Transcript model developed by AMD and Liquid AI. This tool operates without the need for cloud credits or network connectivity, ensuring complete data privacy. By processing transcriptions locally, it eliminates latency issues and provides a secure solution for users concerned about data security. This matters because it offers a private and efficient alternative to cloud-based transcription services, addressing privacy concerns and improving accessibility.
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Plaud’s NotePin S: Now with a Button
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Plaud has introduced an updated version of its NotePin AI recorder, the NotePin S, which now features a button for easier operation compared to the original's haptic controls. This change addresses user feedback about recording difficulties with the previous model's squeeze mechanism. The NotePin S retains its compact design and comes with additional accessories like a lanyard and wristband included in the package. Alongside this, Plaud has launched a new desktop app for recording audio from online meetings, enhancing the integration and usability of their devices. This matters because improved ease of use and integration can significantly enhance productivity and user satisfaction with AI recording devices.
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Top AI Dictation Apps of 2025
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AI-powered dictation apps have significantly improved by 2025, thanks to advancements in large language models and speech-to-text technology. These apps now offer features like automatic text formatting, filler word removal, and context retention, making them more efficient and accurate. Popular options include Wispr Flow, which allows customization of transcription styles and integrates with coding tools, and Willow, which emphasizes privacy and local data storage. Other notable apps include Monologue, which offers offline transcription, Superwhisper with its customizable AI models, and Aqua, known for its low latency and autofill capabilities. These innovations are making dictation apps more accessible and versatile, catering to various user needs and preferences. This matters because enhanced dictation apps can significantly boost productivity and accessibility for users across different fields and languages.
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AI-Doomsday-Toolbox: Distributed Inference & Workflows
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The AI Doomsday Toolbox v0.513 introduces significant updates, enabling the distribution of large AI models across multiple devices using a master-worker setup via llama.cpp. This update allows users to manually add workers and allocate RAM and layer proportions per device, enhancing the flexibility and efficiency of model execution. New features include the ability to transcribe and summarize audio and video content, generate and upscale images in a single workflow, and share media directly to transcription workflows. Additionally, models and ZIM files can now be used in-place without copying, though this requires All Files Access permission. Users should uninstall previous versions due to a database schema change. These advancements make AI processing more accessible and efficient, which is crucial for leveraging AI capabilities in everyday applications.
