Native R 'torch' Implementation of 'OpenAI' 'Whisper' R package whisper version 0.5.1 Speech-to-text transcription using a native R 'torch' implementation of 'OpenAI' 'Whisper' model <https://github.com/openai/whisper>. Supports multiple model sizes from tiny (39M parameters) to large-v3 (1.5B parameters) with integrated download from 'HuggingFace' <https://huggingface.co/> via the 'hfhub' package. Provides automatic speech recognition with optional language detection and translation to English. Audio preprocessing, mel spectrogram computation, and transformer-based encoder-decoder inference are all implemented in R using the 'torch' package. Software Depends: R (>= 4.5.0) Imports: torch (>= 0.17.0), av, jsonlite, hfhub, safetensors, stats, utils Suggests: tinytest Troy Hernandez <troy@cornball.ai> Comprehensive R Archive Network (CRAN) Troy Hernandez [aut, cre] (ORCID: <https://orcid.org/0009-0005-4248-604X>), cornball.ai [cph], OpenAI [cph] (Whisper model architecture and mel filterbank data (MIT license)) MIT + file LICENSE (https://CRAN.R-project.org/package=whisper/LICENSE) 2026-08-03 application/tgz https://CRAN.R-project.org/package=whisper doi:10.32614/CRAN.package.whisper