Whisperflow

Lipflow is an open-source, cross-platform silent lip-reading dictation tool that uses a webcam to turn mouthed words into text pasted at the cursor. It runs locally on macOS, Windows, and Linux: face landmarks are tracked live, 96×96 grayscale mouth crops are sampled at 25 fps, and an Auto-AVSR visual-speech-recognition pipeline combines a 3D-convolutional ResNet front end, Conformer encoder, Transformer decoder, CTC scoring, and a subword language model with beam search. Users can train the language model and lip reader on their phrasing and face, import local Wispr Flow dictation history, and optionally apply cleanup through offline rules, an on-device Qwen model, Claude, Codex CLI, or Ollama. Whisper mode combines lip and audio input with an audio-visual model while the hotkey is held. The repository is MIT-licensed, although its LRS3-trained model weights are identified as for non-commercial research use.

Wispr Flow is an AI voice-to-text dictation tool and notetaker from Wispr that uses speech recognition and contextual editing to convert natural speech into polished, formatted text across applications on Mac, Windows, iPhone, and Android. It removes filler words, corrects repetitions and self-corrections, adds punctuation, and formats spoken input for writing, messaging, coding, creating prompts, and interacting with desktop applications. Wispr Flow Notetaker is available on Windows and Mac.

BetterWispr is a free, open-source, local-first voice-dictation app for macOS. It uses Apple on-device speech recognition, NVIDIA Parakeet, or Whisper to transcribe speech locally and paste the result into the active application; built-in models work offline after download. It supports hold-to-talk or toggle shortcuts, vocabulary and phrase replacements, voice commands, correction learning, and locally stored transcript history. Its meeting mode provides live transcripts, titles, summaries, and action items using Apple Intelligence or a local Ollama model. Optional Sarvam AI, Smallest AI, and OpenAI-compatible endpoints can be added, in which case audio is sent to the selected endpoint rather than handled entirely on-device. The project requires macOS 14 or later, recommends Apple Silicon, and is distributed under the Apache-2.0 license.