Offline Speech-to-Text and Transcription

WhisperX is an open source speech-to-text tool for people transcribing interviews, meetings, and long recordings on their own computer. It builds on OpenAI's Whisper to produce transcripts with word-level timestamps and optional speaker labels.

Wyoming Faster Whisper is a local speech-to-text server for Home Assistant and other clients that use the Wyoming protocol. It turns spoken audio into text on your own hardware, with support for names specific to your home. It's open source under the MIT license and runs as a Home Assistant add-on, a Docker container, or a local Python service.

Buzz transcribes and translates speech on your own computer using OpenAI's Whisper. It's for people who need transcripts or subtitles from recordings, plus live captions from a microphone. Local transcription works offline; the optional OpenAI Whisper API sends audio to a cloud service.

Nextcloud Assistant brings AI into Nextcloud Hub's documents, email, chat and calendar. It's for teams that want help with shared work while choosing where AI processing happens. With an on-premises model, data stays on your server. The app is open source under AGPL-3.0.

Lemonade is an open source local AI server for people who want to use models on their own hardware or connect them to apps and agents. It handles chat, coding, image generation, speech, transcription, and embeddings. A built-in interface lets you use those capabilities directly, while its server makes them available to other software.

Speaches is a self-hosted speech server for developers who want transcription, translation and speech generation on their own hardware. Its OpenAI-compatible API lets applications use local speech models through tools and SDKs built for OpenAI's API. The project is open source under the MIT license.

Xinference serves language, speech and multimodal models through a shared API on your own computer or servers. It's an open source platform under Apache 2.0 for developers and researchers who want to build applications around models they host. You can also deploy it on cloud infrastructure.

subgen generates subtitles on your own hardware for personal media libraries, including films and shows that don't have usable subtitles available. It's an open source, MIT-licensed Python service that runs in Docker or as a standalone application. Speech recognition runs locally using Whisper models through faster-whisper and stable-ts, with support for CPU processing and NVIDIA GPUs through CUDA.

Vibe is an open source desktop app for people who need transcripts or subtitles without uploading their recordings to a transcription service. It runs on macOS, Windows and Linux under the MIT license. Audio transcription works fully offline, with processing on your own computer.

KubeAI is an open source Kubernetes operator for teams serving AI models on their own infrastructure or cloud clusters. It manages model servers and scales them with demand, including starting from zero running replicas. It uses the Apache 2.0 license and can run on CPUs, GPUs or TPUs, including in a local Kubernetes cluster.

Vexa is a meeting bot and transcription API for developers building meeting features and teams feeding calls into AI agents. Bots join Google Meet, Microsoft Teams and Zoom, then send live transcripts with speaker labels to your application or agent. You can host the full platform on your own infrastructure or use Vexa's cloud service.

Whisper ASR Webservice turns Whisper speech recognition into a self-hosted API for developers adding transcription to their apps or services. It runs in Docker on your own machine or server, with CPU processing or CUDA GPU acceleration. The Python project is open source under the MIT license.

Whispering turns speech into text through a browser interface, a Chrome extension, or a desktop app. It's for people who prefer dictating to typing and want a shortcut to start recording. The app is open source under AGPL-3.0-or-later.

Speech Note combines offline dictation, reading aloud and translation in a desktop app for Linux and Sailfish OS. It's for people who want to take multilingual notes, type by voice or listen to text without sending their words to a cloud service. Speech and text processing stay on your device; models are downloaded separately through the app's graphical browser.

Subtitle Edit is an MIT-licensed subtitle editor for Windows, macOS and Linux. It's for people creating captions, translating dialogue or fixing subtitles that don't match the video. Its core editing, conversion and video playback work offline on your device, with optional AI tools for transcription and translation.

faster-whisper is a Python library for people building local speech transcription into their own software. It runs OpenAI's Whisper models through CTranslate2, with faster processing and lower memory use than the original Whisper implementation in the project's comparisons. It runs on a CPU. NVIDIA GPUs are supported too, and the code is open source under the MIT license.

Whisper is an open source speech recognition model for people who want to transcribe audio on their own hardware. It suits developers adding voice features to an app and anyone working with recordings in multiple languages. OpenAI publishes the models and inference code under the MIT license, so audio can stay on the machine running them.

Google AI Edge Gallery is an open-source app for people who want to try generative AI on their own phone. It runs model inference locally, so offline chat, image analysis and audio tasks don't send your inputs to a server. It supports Android and iOS and uses the Apache 2.0 license.

Google AI Edge Eloquent is an AI dictation app for iPhone and iPad that turns spoken thoughts into edited text using on-device Gemma models. It's for people who prefer speaking to typing but don't want every hesitation or self-correction carried into their notes and drafts.