{"data":{"slug":"ggml-org-whisper-cpp","name":"whisper.cpp","tagline":"Port of OpenAI's Whisper model in C/C++ for speech-to-text inference","github_url":"https://github.com/ggml-org/whisper.cpp","owner":"ggml-org","repo":"whisper.cpp","owner_avatar_url":"https://avatars.githubusercontent.com/u/134263123?v=4","primary_language":"C++","stars":51715,"forks":5898,"topics":["inference","openai","speech-recognition","speech-to-text","transformer","whisper"],"archived":false,"github_pushed_at":"2026-07-11T15:53:59+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/ggml-org-whisper-cpp","markdown_url":"https://www.graphcanon.com/tools/ggml-org-whisper-cpp.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ggml-org-whisper-cpp","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ggml-org-whisper-cpp","description":"Port of OpenAI's Whisper model in C/C++","homepage_url":null,"license":"MIT","open_issues":1216,"watchers":460,"ai_summary":"A repository containing a port of the Whisper ASR model, optimized with the `ggml` library to transcribe audio files into text. Primarily useful for developers who need a lightweight and performant solution for integrating speech recognition capabilities.","readme_excerpt":"## Quick start\n\nFirst clone the repository:\n\n```bash\ngit clone https://github.com/ggml-org/whisper.cpp.git\n```\n\nNavigate into the directory:\n\n```\ncd whisper.cpp\n```\n\nThen, download one of the Whisper [models](models/README.md) converted in [`ggml` format](#ggml-format). For example:\n\n```bash\nsh ./models/download-ggml-model.sh base.en\n```\n\nNow build the [whisper-cli](examples/cli) example and transcribe an audio file like this:\n\n```bash","github_created_at":"2022-09-25T18:26:37+00:00","created_at":"2026-07-11T12:13:31.857333+00:00","updated_at":"2026-07-12T07:04:21.661223+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"speech-audio","name":"Speech & Audio","url":"https://www.graphcanon.com/categories/speech-audio","markdown_url":"https://www.graphcanon.com/categories/speech-audio.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/speech-audio"}],"tags":[{"slug":"inference","name":"inference"},{"slug":"openai","name":"openai"},{"slug":"speech-recognition","name":"speech-recognition"},{"slug":"speech-to-text","name":"speech-to-text"},{"slug":"transformer","name":"transformer"},{"slug":"whisper","name":"whisper"}],"trust":{"provenance":{"is_fork":false,"github_id":541269386,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:11:53.355Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":5,"days_since_push":0,"last_release_at":"2026-06-19T05:53:19Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:11:53.802Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-12T07:03:54.558Z"},"languages":{"value":["c++"],"source":"github.language","observed_at":"2026-07-12T07:03:54.558Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-12T07:03:54.558Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["Requires C++ setup and knowledge","Needs audio files converted into a compatible format supported by `ggml`."]},"constraints":null,"when_to_use":["You need a lightweight solution that does not require Python or PyTorch","Looking for performant, native integration into C++ applications without the overhead of traditional Python-based models"],"when_not_to_use":["When you prefer to work with higher-level languages like Python which might offer more ease-of-use and extensive libraries","If your project requires real-time speech transcription and has limited computational resources as `ggml` optimization might still require significant CPU/GPU power for high-performance"],"source":"enrich:decision_facts","observed_at":"2026-07-12T07:04:21.434Z"},"constraint_facets":null,"decision_summary":[{"label":"Requirements","value":"Requires C++ setup and knowledge; Needs audio files converted into a compatible format supported by `ggml`."},{"label":"Adopt for","value":"A port of OpenAI's Whisper model to C++, optimized with `ggml`, for lightweight speech-to-text transcription."},{"label":"License detail","value":"MIT License - permissive license that allows users to use the software in any way, including closed-source applications."}]}}