Google Cloud Speech-to-Text

by Google Cloud

GCP Speech v2 with Chirp 2 foundation model, batch + streaming, 125+ language variants.

TL;DR

GCP Speech v2 with Chirp 2 foundation model, batch + streaming, 125+ language variants.

Best for gCP-native teams, multilingual coverage, anyone wanting access to Google's Chirp foundation models. Pricing: from $0.016/min (v2 standard) / Chirp tiered.

Category
Transcription APIs
License
Stars
Last push
Pricing
from $0.016/min (v2 standard) / Chirp tiered
Platforms
API

What it is

Google Cloud Speech-to-Text v2 is the current generation of GCP's managed ASR. It includes the legacy phone-call and video models plus the Chirp and Chirp 2 universal speech models, a 2B-parameter family trained on multilingual data. Features include automatic punctuation, word-level timestamps, speaker diarization, profanity filtering, model adaptation (custom phrase hints and classes), and dynamic batching. V2 introduces recognizer resources that pin model + language. Data-logging opt-in gives a price discount. HIPAA-eligible under a signed GCP BAA. Available across most GCP regions; Chirp/Chirp 2 are limited to a subset.

Best for: GCP-native teams, multilingual coverage, anyone wanting access to Google's Chirp foundation models.
Watch out for: Chirp 2 region availability is narrower than v1; pricing varies by feature flag (data logging discount, model selection).

Install / use

gcloud ml speech recognize ... # or REST v2

Features

Speaker diarizationYes
Word-level timestampsYes
Streaming / real-timeYes
Languages supported125
HIPAA eligibleYes

Google Cloud Speech-to-Text vs Whipscribe

FeatureGoogle Cloud Speech-to-TextWhipscribe
CategoryTranscription APIsTranscription APIs
Pricingfrom $0.016/min (v2 standard) / Chirp tieredfree beta
Speaker diarizationYesYes
Word timestampsYesYes
StreamingYesNo
Languages12599
PlatformsAPIWeb, API, MCP

Alternatives to Google Cloud Speech-to-Text

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.