WhisperX API Server is a FastAPI-based server designed to transcribe audio files using the Whisper ASR (Automatic Speech Recognition) model based on WhisperX (https://github.com/m-bain/WhisperX) Python library.

Accelerated transcription, word-level timestamps and diarization with whisperX large-v3 · Public · 5.4M runs · License · GitHub · Paper · Playground API Examples README Versions · This model costs approximately $0.019 to run on Replicate, or 52 runs per $1, but this varies depending on your inputs.

⚡ One-command transcription API. GPU-powered OpenAI Whisper + speaker diarization. Self-hosted, fast, free. Just run: uvx whisperx-api - namastexlabs/murmurai

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A basic API to perform transcribing tasks using WhisperX, which uses the faster-whisper model.

Run sandboxes, inference, and training with ultrafast boot times, instant autoscaling, and a developer experience that just works.

The WhisperX API is a containerized solution for transcribing audio files with diarization using the powerful whisperX project.

Build your application with our easy-to-use transcription API.

pip install whisperx Copy PIP instructions · Latest version · Released: Oct 16, 2025 · Time-Accurate Automatic Speech Recognition using Whisper. These details have been verified by PyPI · Barabazs m-bain · These details have not been verified ...

whisperx french_sample.mp3 --model large-v2 --language fr · For more control, you can use the Python API in your scripts: import whisperx import gc # Device setup device = "cuda" # or "cpu" for CPU processing audio_file = "sample.mp3" batch_size = 16 # Reduce if low on GPU memory compute_type = "float16" # Change to "int8" if low on GPU memory # 1.

This API provides a seamless interface for integrating WhisperX into your existing workflow, whether you're building a transcription tool, voice assistant, or any other application that requires accurate voice recognition.

STT APIs · WhisperX is an enhanced version of OpenAI’s Whisper model that provides additional capabilities including speaker diarization, word-level timestamps, and improved accuracy. It’s designed for more advanced speech recognition tasks that require detailed audio analysis.

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization) - m-bain/whisperX

WhisperX provides a simple and intuitive API, making it easy to integrate into existing applications and workflows.

A Docker-based API server for WhisperX with multi-language transcription, speaker diarization, and word-level timestamps.

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

June 2, 2025 - The WhisperX API is a groundbreaking API that allows developers to integrate the powerful WhisperX AI model into their applications for advanced speech recognition and transcription.

November 7, 2025 - WhisperX provides a Python API that allows developers to integrate its functionality into their own applications.

June 23, 2025 - Language Support: WhisperX supports multiple languages, catering to a global audience and diverse use cases. Easy Integration: With its well-documented API, WhisperX can be easily integrated into existing Python applications.