{
 "schema_version": 1,
 "generated": "2026-10-31",
 "repo": "ggml-org/whisper.cpp",
 "name": "whisper.cpp",
 "owner": "ggml-org",
 "slug": "ggml-org-whisper-cpp",
 "github": "https://github.com/ggml-org/whisper.cpp",
 "what": "whisper.cpp is a plain C/C++ port of OpenAI's Whisper speech recognition model with no dependencies. It runs fully offline on CPUs, Apple Silicon (Metal and Core ML), NVIDIA, AMD and Vulkan GPUs, supports integer quantization and voice activity detection, and ships a whisper-cli tool plus examples for iOS, Android, WebAssembly and Raspberry Pi.",
 "why": "55k stars, talked about in 2 AI sources we track",
 "language": "C++",
 "requirements": [
  "A C/C++ toolchain and CMake to build from source",
  "ffmpeg to convert audio to 16-bit WAV, since whisper-cli reads 16-bit WAV files",
  "Disk and RAM for the model you pick: about 142 MiB and 388 MB for base, up to 2.9 GiB and 3.9 GB for large",
  "Optional: Xcode command line tools and Python 3.11 for Core ML on Apple Silicon"
 ],
 "audience_note": "Developers, podcasters and privacy-minded users who want fast local transcription without sending audio to a cloud API.",
 "risk": "none",
 "section": "earlier",
 "weekly_rank": null,
 "category": "Content",
 "url": "https://dedupedai.com/use-cases/ggml-org-whisper-cpp/",
 "use_case_count": 3,
 "use_cases": [
  {
   "id": "ggml-org-whisper-cpp--transcribe-audio-offline-with-whisper-cpp",
   "title": "Transcribe audio files offline on your own machine",
   "best": true,
   "url": "https://dedupedai.com/use-cases/ggml-org-whisper-cpp/transcribe-audio-offline-with-whisper-cpp/",
   "json": "https://dedupedai.com/use-cases/u/ggml-org-whisper-cpp/transcribe-audio-offline-with-whisper-cpp.json"
  },
  {
   "id": "ggml-org-whisper-cpp--shrink-whisper-models-with-quantization",
   "title": "Run bigger Whisper models on small hardware with quantization",
   "best": false,
   "url": "https://dedupedai.com/use-cases/ggml-org-whisper-cpp/shrink-whisper-models-with-quantization/",
   "json": "https://dedupedai.com/use-cases/u/ggml-org-whisper-cpp/shrink-whisper-models-with-quantization.json"
  },
  {
   "id": "ggml-org-whisper-cpp--speed-up-whisper-on-apple-silicon-with-core-ml",
   "title": "Speed up transcription on a Mac with the Neural Engine",
   "best": false,
   "url": "https://dedupedai.com/use-cases/ggml-org-whisper-cpp/speed-up-whisper-on-apple-silicon-with-core-ml/",
   "json": "https://dedupedai.com/use-cases/u/ggml-org-whisper-cpp/speed-up-whisper-on-apple-silicon-with-core-ml.json"
  }
 ],
 "disclaimer": "Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk."
}