#speech-to-text

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.

YC (S26) | Record your screen 24/7 and plug into your agents. Local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps

Add Hume AI to any TypeScript project

A free, open source, and extensible speech-to-text application that works completely offline.

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

Whisper.net. Speech to text made simple using Whisper Models

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

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

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

A unified interface for various AI model providers

C# SDK for the ElevenLabs API -- text-to-speech and speech-to-text

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

Every meeting, every idea, every voice note — searchable by your AI. Open-source, privacy-first conversation memory layer.

A lightweight Python package for Automatic Speech Recognition using ONNX models

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