Speech Recognition Python Packages

transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

faster-whisper

Faster Whisper transcription with CTranslate2

speechrecognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

deepgram-sdk

Official Python SDK for Deepgram.

openvino

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

vosk

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

rev-ai

Rev AI Python SDK

pvporcupine

On-device wake word detection powered by deep learning

pocketsphinx

A small speech recognizer

kaldiio

A pure python module for reading and writing kaldi ark files

whisperx

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

mlx-audio

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

funasr

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

speechmatics-rt

Python SDKs for Speechmatics APIs

cn2an

📦 快速转化「中文数字」和「阿拉伯数字」～ (最新特性：分数，日期、温度等转化）

whisper-ctranslate2

Whisper command line client compatible with original OpenAI client based on CTranslate2.

onnx-asr

A lightweight Python package for Automatic Speech Recognition using ONNX models

speechmatics-voice

Python SDKs for Speechmatics APIs

speechmatics-agent-stt

Python SDKs for Speechmatics APIs

whisper-timestamped

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

speechmatics-python

Python library and CLI for Speechmatics

speechmatics-batch

Python SDKs for Speechmatics APIs

openvino-dev

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

pytorch-pretrained-bert

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.