Head-to-head comparison
AssemblyAI 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.
Voice AI API that developers reach for when accuracy and uptime actually matter.
Best for: Developer transcription API
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
AssemblyAI
Pros
- High accuracy across 99 languages
- Strong real-time streaming model
- Generous startup program
Watch-outs
- Not a finished app — requires engineering
- Pricing adds up at scale
- Smaller community than Whisper
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 AssemblyAI if
You’re building around developer transcription api. AssemblyAI isn't an app — it's an API. If you're building a product that needs transcription, sentiment analysis, or speaker diarization at scale, it's one of the few options that pairs accuracy with reasonable pricing and serious infrastructure.
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 AssemblyAI alternatives.
Frequently asked
What does AssemblyAI do better than Google Cloud Speech-to-Text?
AssemblyAI's standout is "High accuracy across 99 languages". 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 AssemblyAI; if the second does, pick Google Cloud Speech-to-Text.
What are the trade-offs?
AssemblyAI: not a finished app — requires engineering. 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 AssemblyAI and Google Cloud Speech-to-Text together?
Both are transcription tools so most teams pick one. Some workflows do combine them — for example, using AssemblyAI for one show or episode type and Google Cloud Speech-to-Text for another. Worth trying both free tiers before committing.