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OpenASR Desktop is a private, offline speech-to-text and dictation application for Windows, published by Caelum Inc. and currently available in version 0.1.8, the only version listed in this catalog. The software belongs to the speech recognition and transcription category, with an emphasis on privacy-focused, on-device processing. Its core purpose is to deliver system-wide dictation and audio/meeting transcription entirely on the local machine, without relying on any cloud infrastructure. OpenASR Desktop is powered by the open-source OpenASR speech-recognition engine, which is released under the Apache-2.0 license, uses a ggml-backed architecture, supports eleven model families, and offers both CPU and GPU inference, allowing users to select the configuration that best fits their hardware. A defining characteristic of the application is that nothing is uploaded: there is no cloud fallback, no telemetry, and no account requirement, making it suitable for users and environments where data confidentiality is a priority. Speech models are downloaded once from a signed catalog, after which all recognition runs fully offline, so transcription and dictation remain available even without an internet connection. Typical use cases include system-wide voice dictation across Windows applications, transcription of recorded audio, and transcription of meetings, all handled locally on the device. By combining the flexibility of an open-source engine with a fully local execution model, OpenASR Desktop addresses the needs of users who require accurate speech-to-text capabilities without exposing audio data to third-party services. Its single cataloged release, version 0.1.8, reflects the current state of the product as documented here, and all described capabilities—including offline operation, signed model distribution, support for eleven model families, and CPU and GPU inference—apply to that release.
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