Uberi/speech_recognition Alternatives

choose for Whisper-based ASR with word-level timestamps and diarization.

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

choose for a Whisper pipeline with speaker diarization.

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

choose for real-time streaming ASR with diarization and translation.

Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.

choose for low-latency STT with VAD and wake-word support.

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.

choose for a full ASR toolkit with training, streaming, and pipelines.

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

choose for a trainable speech toolkit rather than a simple wrapper.

A PyTorch-based Speech Toolkit

choose for training custom STT models, though unmaintained.

🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

choose for modern offline SR with a lightweight API.

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

choose for a fast C++ Whisper port for native environments.

Port of OpenAI's Whisper model in C/C++

choose for JAX/TPU-accelerated Whisper inference.

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

choose for Apple Silicon optimized speech processing.

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.

choose for a faster Whisper implementation with CTranslate2.

Faster Whisper transcription with CTranslate2

choose for a proven on-device STT engine, though it is abandoned.

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

choose for a ready-made offline subtitle conversion tool, not a library.

Voice Recognition to Text Tool / 一个离线运行的本地音视频转字幕工具，输出json、srt字幕、纯文字格式

choose for a fast command-line Whisper client, not a Python integration.

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

choose for a self-hosted transcription service instead of a library.

Self-hosted AI audio transcription

choose to deploy a REST API for Whisper, not in-process usage.

OpenAI Whisper ASR Webservice API