Head-to-head comparison
Google Cloud Speech-to-Text vs Otter.ai
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.
Google's flagship ASR with the Chirp 2 model
Best for: GCP-native teams who want Chirp 2 quality with managed scaling.
Real-time transcription and meeting notes with sharable highlights.
Best for: Meeting-heavy teams
At a glance
The honest trade-offs
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
Otter.ai
Pros
- Auto-joins Zoom, Meet, and Teams calls
- Real-time captions with speaker ID
- Solid free tier for casual users
Watch-outs
- Only English, French, Spanish
- Pro caps at 1,200 minutes/month
- Built for meetings more than podcasts
Which one should you pick?
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.
Pick Otter.ai if
You’re building around meeting-heavy teams. Otter pivoted hard into meetings and away from straight transcription, which makes it great if you live in Zoom/Meet/Teams and want auto-summaries plus action items — and slightly awkward as a pure podcast transcription tool. The free plan caps you at 300 minutes and 30 minutes per file.
Also worth comparing
Frequently asked
What does Google Cloud Speech-to-Text do better than Otter.ai?
Google Cloud Speech-to-Text's standout is "Chirp 2 quality on long-form podcasts". Otter.ai doesn't make that promise — it leans into "Auto-joins Zoom, Meet, and Teams calls" instead. If the first sentence describes your workflow, pick Google Cloud Speech-to-Text; if the second does, pick Otter.ai.
What are the trade-offs?
Google Cloud Speech-to-Text: steeper learning curve than deepgram. Otter.ai: only english, french, spanish. Whether either matters depends entirely on what you actually need — neither is a deal-breaker by itself.
Do they support the same platforms?
Otter.ai works on macOS, Windows, iOS, Android where Google Cloud Speech-to-Text doesn't. If you're on a specific OS or device, that may decide for you.
Can I use Google Cloud Speech-to-Text and Otter.ai together?
Both are transcription tools so most teams pick one. Some workflows do combine them — for example, using Google Cloud Speech-to-Text for one show or episode type and Otter.ai for another. Worth trying both free tiers before committing.