calls argmax-oss-swift “Use in Swift/Apple Silicon apps for a native on-device Speech AI API instead of C/C++ integration.”
Port of OpenAI's Whisper model in C/C++
argmax-oss-swift is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named argmax-oss-swift among their alternatives. The relationship is not symmetric — how argmax-oss-swift rates them is a separate judgement, made when argmax-oss-swift is analysed in its own right.
calls argmax-oss-swift “Use in Swift/Apple Silicon apps for a native on-device Speech AI API instead of C/C++ integration.”
Port of OpenAI's Whisper model in C/C++
calls argmax-oss-swift “Choose if you need on-device speech recognition in Swift on Apple platforms.”
Faster Whisper transcription with CTranslate2
calls argmax-oss-swift “Use for on-device speech AI on Apple Silicon with a Swift-native library, when you don't need cross-platform Android/Windows support.”
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
calls argmax-oss-swift “when building Apple apps with on-device speech models in Swift; similar to FluidAudio but different model set”
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
calls argmax-oss-swift “On-device speech AI framework for Apple Silicon; choose it for Apple-native development.”
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model