Deepgram
Krisp
| Feature | Deepgram | Krisp |
|---|---|---|
| Pricing | Free / from $0.0036/mo | Free / from $8/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.4 / 5 | 4.4 / 5 |
| Best For | developers, contact-centers, voice-ai-apps, real-time-applications | remote-workers, call-centers, podcasters, open-office-workers |
| Founded | 2015 | 2017 |
| Speech To Text | ✓ | ✗ |
| Text To Speech | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Language Detection | ✓ | ✗ |
| Topic Detection | ✓ | ✗ |
| Custom Vocabulary | ✓ | ✗ |
| Smart Formatting | ✓ | ✗ |
| Noise Cancellation | ✗ | ✓ |
| Meeting Notes | ✗ | ✓ |
| Transcription | ✗ | ✓ |
| Call Summaries | ✗ | ✓ |
| Echo Removal | ✗ | ✓ |
| Accent Localization | ✗ | ✓ |
✓ Deepgram Pros
- Extremely fast transcription (up to 40x real-time)
- Competitive accuracy with custom models
- Both STT and TTS in one platform
- Free $200 credit to start
✗ Deepgram Cons
- Developer-focused with no consumer app
- Custom model training requires enterprise plan
- Newer platform with less ecosystem maturity
✓ Krisp Pros
- Excellent noise cancellation
- Works with any app
- Meeting notes
- Privacy focused
✗ Krisp Cons
- Limited free minutes
- CPU usage
- Occasional audio artifacts
The Verdict
Deepgram is built for developers and contact centers, with a focus on speech-to-text and text-to-speech. Krisp targets remote workers and call centers and leads with noise-cancellation and meeting-notes.
On pricing, Deepgram is the clear winner for budget-conscious users — starting at $0.0036/mo compared to $8/mo for Krisp. That $7.9964/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Deepgram offers broader built-in capabilities (7 features vs 6), while Krisp takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.