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Self-hosted Docker speech API for OpenAI-compatible transcription and text-to-speech, streaming ASR, voice cloning, phoneme recognition, and MCP.

Desktop audio-to-text transcription tool.

Add captions to any video or song, in any language — 100% on your device, no cloud. Hinglish-first. Free, open-source, and works with any AI agent.

OpenNoteTaker: free, open-source AI note taker for Google Meet, Zoom and Teams with no bot in the call. Records the tab and your mic, transcribes with Whisper in the browser, labels speakers. Nothing is uploaded. https://opennotetaker.app

Fonction JavaScript pour créer des rébus avec des emojis à partir de phrase en français. (peut aussi faire de la transcription phonétique)

Mirror of https://github.com/ptlc8/rebus

Transcribes audio files to text locally with WhisperX.

Local audio-to-text web app. Upload an audio file (MP3/WAV/M4A), a background job transcribes it with WhisperX, then view and download the transcript as JSON, SRT, TXT, or Markdown.

Spring Boot + Thymeleaf frontend, Python worker under the hood.

Runs locally, no cloud.

A robust CLI that turns recordings and PDFs into clean, structured Markdown notes end-to-end.

Audio — chunks with configurable length and overlap, transcribes via a dedicated Whisper STT endpoint or cascades to OpenAI-compatible multimodal and Native Ollama backends.

PDF — text PDFs pass through pdftotext straight to refinement; scanned PDFs are auto-detected by character count, rendered to page images, and read by a vision model (or tesseract via an explicit --ocr escape, never silently).

LLM refinement — dedupes overlapping boundaries and formats the raw transcript into clean notes.

Resumable content-addressed cache — keyed by input hash with per-chunk/page signatures; a changed parameter invalidates only what depends on it.

Config resolves CLI > env var > settings file > defaults, including persistent chunk sizes. Python 3.12, built with uv, 147 tests at 100% coverage. Architecture is protocol-based and documented via TIPs (docs/).

Audio capture service for the Oremi smart home ecosystem with wake word detection, speech transcription, and Home Assistant integration via MQTT.

https://demsking.gitlab.io/oremi-device/

Transcripción local de alta fidelidad en Apple Silicon (Metal GPU con MLX). Soporte multipista para grabaciones de OBS (.mka), mezcla de audio y diálogo entrelazado en Markdown.

A second brain for conversations you're already having: listens to your mic and system audio as two separate streams, transcribes both live, works out when the other side shut up, and hands you a reply draft before you panic. It drafts, never sends or speaks for you. Alpha — live capture is Linux/PipeWire only.

Apply LLM prompts to a transcript in consistent ways.

Drop a file, get a transcript, nobody else ever hears it. Local Whisper + pyannote transcription with speaker labels, on your own machine, Windows and Linux.

System-wide voice-to-text for macOS. Hold a hotkey, speak, text appears at your cursor. Supports OpenAI, Gemini, Apple Speech & local models. No subscription — bring your own API keys.

A Node.js application for transcribing audio files into word-level and phrase-level subtitles in SRT format.

Transcripty is a privacy-first, locally run transcription software using locally running AI-models for speech to text analysis. The software has light editing capability for splitting and merging text blocks and assigning speakers. The transcription result can be exported to a text doc for use in other applications.

MacWhisperer is a macOS desktop GUI for OpenAI Whisper that makes local speech transcription and English translation easy, with auto model loading, live recording, input device controls, and file-based workflows.

(Design WIP) Ext. tool adding a transcription (OCR) workflow to the EmuHawk (BizHawk) emulator, allowing retro games to be translated partially- or fully-automatically

A simple phonemic transcriber for the american english language.

Un simple transcriptor fonológico para la lengua española.