Whisper.cpp Server

Whisper.cpp Server is an open-source, self-hosted speech-to-text and automatic speech recognition (ASR) server powered by Whisper models. It provides an HTTP API and web-based interface for converting audio into text, making it suitable for transcription services, voice applications, AI workflows, media processing, accessibility solutions, and developer integrations while retaining control over audio data and deployment infrastructure.

Key Features of whisper.cpp Server:

• Self-hosted speech-to-text and automatic speech recognition server accessible through HTTP APIs and modern web browsers.
• Provides the /inference endpoint for submitting audio files and receiving transcription results.
• Includes a built-in web interface for uploading audio files and testing speech transcription directly from a browser.
• Supports Whisper GGML models for efficient speech recognition and transcription workloads.
• Supports multilingual speech recognition using compatible Whisper models.
• Supports configurable transcription parameters including language, temperature, temperature increment, and no-speech threshold.
• Provides multiple response formats for transcription workflows, including JSON, text, SRT, and VTT where supported by the server build.
• Supports audio processing workflows for common media formats when used with compatible FFmpeg-based conversion pipelines.
• Provides a /load endpoint for loading compatible Whisper model files into the server.

whisper.cpp Server Usage:

$ sudo su
$ cd /opt/whisper.cpp

Check whisper.cpp files:
ls -la /opt/whisper.cpp

Check whisper.cpp version:
git -C /opt/whisper.cpp describe --tags --always

Check whisper.cpp server binary:
ls -lh /opt/whisper.cpp/build/bin/whisper-server

Check Whisper model:
ls -lh /opt/whisper.cpp/models/

Check whisper.cpp Server service:
sudo systemctl status whisper-server --no-pager

Access the whisper.cpp Server Web UI:
http://YOUR_SERVER_IP:8080/

  

Disclaimer:
whisper.cpp is an open-source project maintained by its developers and community contributors and is not affiliated with or endorsed by Microsoft Azure or any other cloud provider. Whisper model files may have their own licensing and usage requirements. Users are responsible for configuring network access, authentication, security settings, firewall rules, model licensing, audio data protection, privacy requirements, backup procedures, and user access controls when deploying and using whisper.cpp Server in a cloud environment.