ahmetoner/whisper-asr-webservice

Health v2 · maintenance only

Adoption not part of the score

3326 stars · 584 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Dockerized REST webservice that wraps OpenAI Whisper (plus Faster Whisper and WhisperX engines) for automatic speech recognition. It exposes a Swagger-documented API that transcribes audio/video files into text, JSON, VTT, SRT, or TSV with optional word-level timestamps, VAD filtering, and speaker diarization.

Use cases

• self-host a speech-to-text API server
• transcribe audio files to text via REST API
• generate SRT or VTT subtitles from audio
• run Whisper transcription with GPU acceleration in Docker
• add speaker diarization to transcriptions
• convert voice recordings to text for my app
• multilingual speech recognition service

When to choose

• you want a ready-to-run Docker container exposing Whisper as an HTTP API
• you need multiple output formats like SRT/VTT subtitles or word-level timestamps
• you want to switch between Whisper, Faster Whisper, and WhisperX engines via config
• you need GPU-accelerated transcription on Linux with CUDA

When to avoid

• you need an embedded or offline CLI transcription tool rather than a web service
• you want to fine-tune or train Whisper models yourself
• you need real-time streaming transcription over websockets
• you run on macOS and require GPU acceleration (Docker GPU passthrough is unsupported there)

Facets

service · maturity active

speech-recognition http-server api-framework machine-learning llm-inference speech-processing artificial-intelligence self-hosted apis self-hosted python cross-platform whisper asr speech-to-text transcription docker-image fastapi subtitles speaker-diarization gpu-acceleration docker web-server gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ahmetoner/whisper-asr-webservice")