Krisp vs Deepgram
A detailed comparison to help you choose between Krisp and Deepgram.
How to choose
Neither tool has user reviews on ToolSpotter yet, so we don't pick a winner. Compare them on what they're built for: Krisp — Remote workers and call-heavy teams in noisy environments who want app-agnostic clean audio plus a bot-free meeting record from one install.; Deepgram — Developers and platform teams building voice features — transcription pipelines, live captioning, voice agents — who want public per-minute pricing, real streaming performance and the option to self-host..
Krisp AI noise cancellation for any call | Deepgram Speech-to-text API with real-time transcription and low latency | |
|---|---|---|
| Rating | 4.2 (1 review) | 4.2 (1 review) |
| Pricing Model | freemium | usage-based |
| Starting Price | Free tier available | Pricing varies |
| Best For | Remote workers and call-heavy teams in noisy environments who want app-agnostic clean audio plus a bot-free meeting record from one install. | Developers and platform teams building voice features — transcription pipelines, live captioning, voice agents — who want public per-minute pricing, real streaming performance and the option to self-host. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tiermobile app | api accessfree tier |
| Visit Krisp → | Visit Deepgram → |
Krisp
Pros
- + Two-way noise cancellation held up against a mechanical keyboard and street noise in my test — far side reported clean audio
- + Works under Zoom, Teams, Meet, Discord and phone calls as a virtual device with no meeting bot
- + On-device processing for noise cancellation; fully private on-device transcription at Enterprise tier (krisp.ai/pricing)
- + Core at $8/user/month billed annually includes unlimited noise cancellation and an unlimited bot-free note-taker
- + MCP integration (Claude, ChatGPT, Cursor, custom) makes meeting data queryable from AI clients
Cons
- - No ongoing free plan — a 7-day trial only, then $8-16/user/month depending on billing (krisp.ai/pricing, Scribbl)
- - 8-12% CPU during active calls in my testing — noticeable on older hardware alongside video and screenshare
- - Action-item extraction produced generic entries without owners or dates in my sessions
- - Storage caps of 10GB (Core) / 60GB (Advanced) will bind heavy recorders
- - Accent conversion (1 hr/day on Core) is technically impressive but ethically loaded — enable it deliberately
Deepgram
Pros
- + Per-second billing with no rounding up — my 47-minute test metered exactly 2,820 seconds against APIs that would have billed 48 or 60 minutes
- + Every self-serve rate is on a public pricing page, including BYO-LLM and BYO-TTS Voice Agent tiers from $0.05/min
- + One-time $200 signup credit with no card and no expiry covers roughly 700 hours of pre-recorded Nova-3 transcription
- + Self-hosted deployment is real and documented, via an official Helm chart covering STT, TTS and the Voice Agent API on Kubernetes
- + Streaming latency held up in testing and matches independent benchmarks (Coval measured Nova-3 at 85 ms mean time to final segment, October 2026)
Cons
- - Streaming prices are promotional with no end date and the regular rates printed alongside are 59-60% higher — budget for $0.0077/min, not $0.0048/min
- - Support is community and Discord only below Enterprise, even on the $4,000+/year Growth plan
- - No recurring free tier: the $200 credit is one-time, and Deepgram measures its coverage against the cheapest configuration
- - No end-user product at all — no editor, dashboard or export tools for non-technical teams
- - Accuracy on accented, noisy or mono audio trails the strongest models; Coval ranks Nova-3 19th of 30 on mixed-sample word error rate
Frequently Asked Questions
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