HuggingFace Transformers (Audio)

by Hugging Face

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

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TL;DR

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

Category
Open source
License
Apache-2.0
Stars
★ 163.5k
Last push
2026-08-07
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

Links

GitHub repo ↗

HuggingFace Transformers (Audio) vs Whipscribe

FeatureHuggingFace Transformers (Audio)Whipscribe
CategoryOpen sourceTranscription APIs
Pricingfree$4–$24 one-time packs (credits never expire) · $2 single unlock · 60 min free on signup
Speaker diarizationNoYes
Word timestampsYesYes
StreamingNoNo
Languages10099
PlatformsLinux, macOS, WindowsWeb, API, MCP

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