Head-to-head comparison
Gladia vs Google Cloud Speech-to-Text
Two of the transcription tools podcasters reach for. Here's how they differ on pricing, features, audience, and the trade-offs that actually matter day-to-day.
Multilingual Whisper-powered API with sub-300ms streaming.
Best for: Voice product developers
Google's flagship ASR with the Chirp 2 model
Best for: GCP-native teams who want Chirp 2 quality with managed scaling.
At a glance
The honest trade-offs
Gladia
Pros
- Sub-300ms real-time latency
- 100+ languages with code-switching
- Free 10 hours/month evaluation
Watch-outs
- API-only, no editor for end users
- Higher async rate than raw Whisper
- Volume tiers need annual commits
Google Cloud Speech-to-Text
Pros
- Chirp 2 quality on long-form podcasts
- 125+ languages and dialects
- Native integration with Vertex AI
Watch-outs
- Steeper learning curve than Deepgram
- V1 API still lingers in the docs
- Diarisation costs extra
Which one should you pick?
Pick Gladia if
You’re building around voice product developers. Gladia took Whisper and re-engineered it to work in production — sub-300ms streaming latency, code-switching across 100+ languages, diarization and translation in the same stream. For developers building voice products it's a serious Whisper-API upgrade.
Pick Google Cloud Speech-to-Text if
You’re building around gcp-native teams who want chirp 2 quality with managed scaling.. Google's Chirp 2 model, rolled out across Cloud Speech in 2025, finally closes the accuracy gap with Whisper and Deepgram on long-form audio. The Speech V2 API is cleaner than the legacy V1, and 125+ languages are supported.
Also worth comparing
Or see all Gladia alternatives.
Frequently asked
What does Gladia do better than Google Cloud Speech-to-Text?
Gladia's standout is "Sub-300ms real-time latency". Google Cloud Speech-to-Text doesn't make that promise — it leans into "Chirp 2 quality on long-form podcasts" instead. If the first sentence describes your workflow, pick Gladia; if the second does, pick Google Cloud Speech-to-Text.
What are the trade-offs?
Gladia: api-only, no editor for end users. Google Cloud Speech-to-Text: steeper learning curve than deepgram. Whether either matters depends entirely on what you actually need — neither is a deal-breaker by itself.
Can I use Gladia and Google Cloud Speech-to-Text together?
Both are transcription tools so most teams pick one. Some workflows do combine them — for example, using Gladia for one show or episode type and Google Cloud Speech-to-Text for another. Worth trying both free tiers before committing.