openai/whisper

Health v2 · maintenance only

Adoption not part of the score

109525 stars · 13284 forks observed · 2026-09-24

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OpenAI's Whisper is a general-purpose speech recognition model and Python library built on a Transformer sequence-to-sequence architecture. It performs multilingual speech transcription, speech translation, and language identification from diverse audio inputs.

Use cases

• transcribe audio recordings to text
• add subtitles to videos automatically
• translate foreign-language speech to English
• detect the spoken language in an audio clip
• transcribe podcasts or meeting recordings
• run offline speech-to-text without cloud APIs

When to choose

• you need robust, multilingual speech-to-text with a permissive MIT license
• you want local/offline transcription without sending audio to a cloud service
• you need speech translation or language identification alongside transcription

When to avoid

• you need real-time low-latency streaming transcription out of the box
• you lack the compute (ideally GPU) for larger model sizes
• you need speaker diarization, which Whisper does not provide

Facets

library · maturity stable

speech-recognition machine-learning deep-learning nlp cli speech-processing machine-learning artificial-intelligence python cross-platform cli asr transcription speech-translation language-identification transformer pytorch multilingual natural-language-processing gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="openai/whisper")