W

whisper

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/).

Fast, lightweight Crystal CLI for YouTube channel management, metadata editing, and transcript extraction.

Local-first, private voice-to-text dictation for Windows

Self-hosted speech server in one Docker image. OpenAI-compatible /v1/audio/transcriptions and /v1/audio/speech across 12 ASR models (Whisper, Parakeet, Canary, Sherpa-ONNX, Vosk) and 3 TTS engines (Kokoro, Qwen3-TTS voice cloning, Chatterbox Turbo). Live WebSocket ASR, file staging, MCP built in. CPU + CUDA images.

Self-hosted Telegram bot that transcribes voice/audio/video using Whisper (Bun + Python).

FairLiebt Voice-Transcription-Service — Python + Whisper (VPS Docker)

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.

Multi-source RAG pipeline with hybrid vector + keyword retrieval, LLM-powered concept knowledge graph, adaptive search weighting, and evaluation framework.

No more typing. Use local-AI (whisper) to transcribe mic-Input (or files) into any textfield

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.

Embedding of text and audio converted text

Audio transcription service built with FastAPI and OpenAI Whisper.

Ophelia - Voice Coding is a cross-platform experimental tool designed to help developers with disabilities by enabling hands-free coding through code dictation.

Application python permettant de transcrire un fichier audio, de générer une réponse à ce fichier avec un lightrag ou non puis de générer un fichier audio de la réponse en copiant une voix à l'aide d'un extrait.

(WIP) (shitty) interface for openai's whisper, including task system, use of yt-dl(p), and getting transcription data while processing

Adds timing to song lyrics when given the song and the lyrics using OpenAI Whisper.

Testing of the main ASR frameworks with reduced models for low-resource languages speech recognition