LiteScribe
LiteScribe is an AI transcription platform that turns any meeting, interview, or recording into accurate text in 100+ languages, then adds AI summaries, action items, topic tags and sentiment. It measures 94.1% word accuracy on real-world English audio, rising to about 95% in High Accuracy mode. Speaker diarization, translation, PII redaction and profanity filtering are built in. Ask AI questions across your whole transcript library using 14+ models or your own API key, and store reusable prompts in a Prompt Vault. Capture from direct upload, social links, cloud storage, a Chrome recorder, and native desktop and mobile apps. Meeting Mode records Zoom, Teams, Meet and Webex calls without putting a bot into the meeting. Export to DOCX, PDF, PPTX, XLSX and SRT. The Windows, macOS and Linux desktop app also runs fully offline with on-device transcription and an on-device LLM, so sensitive audio never leaves the machine.
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Paraspeech
Paraspeech is a speech-to-text app for Mac and iOS that turns spoken thoughts into clean text with a simple hold, speak, and release workflow. On Mac, users press and hold a hotkey in the app where they want to write, speak naturally, and release; Paraspeech processes the recording and attempts to insert the result directly into the active editable field, with clipboard fallback for unsupported fields. Apple Silicon Macs can use supported local speech modes, allowing audio to be transcribed on-device and work offline after setup, while eligible cloud-backed paths are also available depending on the selected backend. Fast local models cover English, Japanese, Mandarin Chinese, and 25-language dictation, while Multilingual Large expands coverage to more than 100 languages where available. AI Rewriting can turn rambling speech into cleaner, formatted text through Cloud Cleanup or, where supported, an on-device rewrite model.
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LFM2
LFM2 is a next-generation series of on-device foundation models built to deliver the fastest generative-AI experience across a wide range of endpoints. It employs a new hybrid architecture that achieves up to 2x faster decode and prefill performance than comparable models, and up to 3x improvements in training efficiency compared to the previous generation. These models strike an optimal balance of quality, latency, and memory for deployment on embedded systems, allowing real-time, on-device AI across smartphones, laptops, vehicles, wearables, and other endpoints, enabling millisecond inference, device resilience, and full data sovereignty. Available in three dense checkpoints (0.35 B, 0.7 B, and 1.2 B parameters), LFM2 demonstrates benchmark performance that outperforms similarly sized models in tasks such as knowledge recall, mathematics, multilingual instruction-following, and conversational dialogue evaluations.
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Gemini Audio
Gemini Audio is a set of advanced real-time audio models built on Gemini's architecture, designed to enable natural, fluid voice interaction and expressive audio generation through simple language prompts. It supports conversational experiences where users can speak, listen, and interact with AI in a seamless loop, combining understanding, reasoning, and response generation in audio form. It is capable of both analyzing and generating audio, allowing applications such as speech-to-text transcription, translation, speaker identification, emotion detection, and detailed audio content analysis. They are optimized for low-latency, real-time use cases, making them suitable for live assistants, voice agents, and interactive systems that require continuous, multi-turn dialogue. Gemini Audio also integrates advanced capabilities like function calling, enabling the model to trigger external tools and incorporate real-time data into responses.
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