{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Sherpa-onnx runs speech recognition, text-to-speech, speaker identification, voice activity detection, keyword spotting, and other audio processing tasks locally using ONNX models across multiple platforms and architectures.","skillfed_tags":["speech-recognition","audio-processing","edge-ai"],"use_cases":["Build offline speech-to-text applications for edge devices or privacy-sensitive environments","Add real-time voice commands and keyword spotting to embedded systems or IoT devices","Implement speaker identification or diarization for audio analysis and meeting transcription","Deploy text-to-speech synthesis on mobile or server applications without cloud API costs","Process audio locally on Raspberry Pi, Jetson, or other ARM-based platforms","Integrate voice activity detection or speech enhancement into audio pipelines"],"what_it_does":"Sherpa-onnx is a Python wrapper around ONNX Runtime for running speech and audio AI models locally without cloud dependencies. It supports a wide range of tasks\u2014speech-to-text (streaming and offline), text-to-speech, speaker identification and diarization, voice activity detection, keyword spotting, audio tagging, speech enhancement, and source separation\u2014across diverse platforms including Linux, macOS, Windows, Android, iOS, and specialized hardware like Raspberry Pi and NVIDIA Jetson boards.\n\nThe package is built on ONNX Runtime and requires sherpa-onnx-core as its runtime dependency. It targets developers who need on-device audio AI without external API calls, with support for multiple programming languages and NPU accelerators (Rockchip, Qualcomm, Ascend). Installation uses prebuilt wheels for Python 3.7+ on common architectures, though model files must be obtained separately.","worth_installing":"Yes. Sherpa-onnx is actively maintained, permissively licensed, has no known vulnerabilities, and offers broad platform and task coverage for local audio AI. Install it if you need on-device speech or audio processing without external dependencies. The medium install friction is offset by prebuilt wheels and strong community adoption."},"id":"sherpa-onnx","links":{"html":"https://skillfed.io/packages/sherpa-onnx","md":"https://skillfed.io/packages/sherpa-onnx.md","pypi":"https://pypi.org/project/sherpa-onnx/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"permissive","name":"sherpa-onnx","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":634735,"position":5642,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.13.5"}