Transcribe audio locally to text with NVIDIA Parakeet TDT 0.6B.
npx skills add https://github.com/dcarmitage/claws --skill parakeet-stt
Please help me install this Agent Skill. Skill: parakeet-stt Source: https://github.com/dcarmitage/claws/tree/main/skills/parakeet-stt Command: npx skills add https://github.com/dcarmitage/claws --skill parakeet-stt
Transcribes audio locally into text without cloud services, preserving privacy and giving you full data control.
Start the Parakeet TDT service using Docker compose (recommended) or run locally with Python. Then transcribe an audio file by posting to the API at $PARAKEET_URL/v1/audio/transcriptions with the file and desired response_format (e.g., text, json, verbose_json, srt).
High-intent search queries and answers about installing and using this skill.
Local speech-to-text transcription on CPU is handled by the NVIDIA Parakeet TDT 0.6B model, which processes audio entirely offline to preserve privacy and data control. It can be deployed via Docker Compose or a local Python FastAPI server.
Yes, an OpenAI-compatible API is exposed for offline audio transcription, allowing seamless integration into local applications and workflows. You post audio files to the /v1/audio/transcriptions endpoint and select text, json, verbose_json, or srt response formats.
Automatic language detection supports offline speech-to-text across 25 languages. The Parakeet TDT model identifies the spoken language from the audio input and transcribes it into text without requiring manual language selection.
The best way to integrate local transcription is through its OpenAI-compatible API, which drops into existing OpenAI client configurations. Start the service via Docker Compose or Python, then post audio files to get text or subtitle formats back.
No, a GPU is not required because the speech-to-text transcription runs entirely on CPU using the ONNX-optimized Parakeet TDT 0.6B v3 model. This allows local deployments on standard hardware without GPU dependencies.
giladresisiInitialize a Python project environment with dependencies, Dockerized PostgreSQL, migrations, and FastAPI server.
akrindevTranscribe video audio into timestamped SRT, VTT, or JSON transcripts.
borgheiDeploy and monitor production ML systems with Kubernetes and CI/CD pipelines.
openclaw-easyConvert input text to speech locally using sherpa-onnx and ONNX models.
