HuggingFace Transformers (Audio)

by Hugging Face

One API for Whisper, Wav2Vec2, HuBERT, XLS-R, SeamlessM4T, Parakeet.

TL;DR

One API for Whisper, Wav2Vec2, HuBERT, XLS-R, SeamlessM4T, Parakeet.

Best for standard Python entry-point for any speech model on the Hub. Pricing: free.

Category
Open source
License
—
Stars
—
Last push
—
Pricing
free
Platforms
Linux, macOS, Windows

What it is

The transformers library covers virtually every open ASR architecture via Auto classes. Apache-2.0.

Best for: Standard Python entry-point for any speech model on the Hub.
Watch out for: Inference slower than CTranslate2-based projects; not optimal for prod streaming.

Install / use

pip install transformers[audio]

Features

Speaker diarizationNo
Word-level timestampsYes
Streaming / real-timeNo
Languages supported100
HIPAA eligibleNo

HuggingFace Transformers (Audio) vs Whipscribe

FeatureHuggingFace Transformers (Audio)Whipscribe
CategoryOpen sourceTranscription APIs
Pricingfreefree beta
Speaker diarizationNoYes
Word timestampsYesYes
StreamingNoNo
Languages10099
PlatformsLinux, macOS, WindowsWeb, API, MCP

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Whipscribe is a managed faster-whisper + whisperX service. If you want transcripts without running infrastructure, paste a URL or drop a file in the form below — you'll have a transcript in seconds.