#asr

Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.

The AssemblyAI JavaScript SDK provides an easy-to-use interface for interacting with the AssemblyAI API, which supports async and real-time transcription, audio intelligence models, as well as the latest LeMUR models.

Natural voice conversations with Claude Code

Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces

Give your tools a voice — speech to text and back, 25 languages, up to ~19× faster than Whisper. On your machine.

A small speech recognizer

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages

FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI.

A lightweight Python package for Automatic Speech Recognition using ONNX models

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