Audio Hub › Speech-to-text

expo-speech-recognition alternatives (speech-to-text)

expo-speech-recognition: Speech Recognition for React Native Expo projects Below are the closest alternatives in the same category — every entry with a live profile in the hub.

Need the recording as text?

Whatever you record or edit with expo-speech-recognition, Whipscribe turns it into an accurate, speaker-labeled transcript — 100+ languages, SRT/VTT/DOCX export, private self-hosted Whisper. About $2 per audio hour, 30 minutes free daily.

Transcribe a file →
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.whisper.cppPort of OpenAI's Whisper model in C/C++voiceboxThe open-source AI voice studio. Clone, dictate, create.HandyA free, open source, and extensible speech-to-text application that works completely offline.meetilyPrivacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloudllamafileDistribute and run LLMs with a single file.faster-whisperFaster Whisper transcription with CTranslate2whisperXWhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)buzzBuzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.screenpipeYC (S26) | Record your screen 24/7 and plug into your agents. Local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps

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Frequently asked

What is expo-speech-recognition?

Speech Recognition for React Native Expo projects

Is expo-speech-recognition free?

expo-speech-recognition is open source — free to use; check its license for redistribution terms.

What are the best expo-speech-recognition alternatives?

The closest alternatives in the same category include transformers, whisper.cpp, voicebox, Handy, meetily — each has a live profile with facts and its own alternatives list on this hub.

How were these expo-speech-recognition alternatives chosen?

By category match, ranked consumer-first then by GitHub activity for open-source projects — live facts, no pay-for-placement.