Imagine a blind taste test, like the famous Pepsi vs. Coke challenge, only here, 269 crowd-sourced listeners in the United States compared the same voice recordings enhanced by Tomato.ai and Krisp. Across 17 Filipino and Indian accent and noise scenarios, they cast 6,179 votes, delivering statistically significant insights. The result? Tomato.ai emerged as the favorite among listeners who judged it against Krisp using the same samples referenced in Krisp’s own blog.
Overall Preference
(% of 750 votes)
| Option A | % | Option B | % | Tie % | Winner |
|---|---|---|---|---|---|
| Tomato.ai | 40.6% | Krisp | 31.7% | 27.8% | Tomato.ai (by 1.3x) |
How the Study Was Conducted
Side-by-side comparisons were crowdsourced using the Amazon Mechanical Turk platform with individuals based in the United States.
Participants shared their preferences across the following key metrics which matter most in live customer calls.
- Preference reflects the overall listener choice, showing which audio they’d rather hear, critical for keeping customers engaged.
- Intelligibility measures how easily words are understood, directly reducing repeats and lowering Average Handle Time (AHT).
- Acoustic Quality captures the clarity and richness of the sound, which shapes trust and professionalism in the customer’s mind.
- Accent Softening measures the reduction of heavy accent traces, helping customers process speech faster and reducing bias that can hurt satisfaction scores.
- Naturalness assesses how human and unprocessed the voice sounds, which impacts comfort.
Together, these metrics provide a complete picture of how well a solution supports faster resolutions, higher First Call Resolution (FCR), and improved Customer Satisfaction (CSAT).
Tomato.ai vs Krisp
(% of >750 votes per row)
| Metric | Tomato.ai % | Krisp % | Tie % | Winner |
|---|---|---|---|---|
| Preference | 40.6% | 31.7% | 27.8% | Tomato.ai |
| Intelligibility | 33.7% | 21.3% | 45.0% | Tomato.ai |
| Acoustic Quality | 45.6% | 17.9% | 36.6% | Tomato.ai |
| Accent Softening | 36.6% | 15.3% | 48.1% | Tomato.ai |
| Naturalness | 21.0% | 43.7% | 35.3% | Krisp |
Audio Latency
| Vendor | Latency on Lower End PC (4th gen intel core i5, 8 GB memory) |
Latency on Higher End PC (12th gen intel core i5, 16 GB memory) |
|---|---|---|
| Tomato.ai | ~220 ms (medium accent) ~500 ms (heavy accent) |
~220 ms (medium accent) ~400 ms (heavy accent) |
| Krisp | ~400 – 1,000 ms | ~220 ms |
Tomato.ai’s latency is less affected by how powerful the agent’s PC is because the Accent Softening AI model can run in the cloud near the agent’s location, offloading compute to a GPU. On high-end machines, the Tomato.ai Accent Softening can run locally on the device.
Krisp often runs its model locally on the PC, so lower-end machines can experience higher latency. In some cases it can switch to a smaller local model to accommodate limited resources, which may affect quality.
What This Means for Your Business
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- Intelligibility & Accent Reduction: Tomato.ai’s strong showing here ensures customer comprehension and streamlined call resolution, directly boosting CSAT and FCR scores.
- Acoustic Quality: Rich, clean audio reinforces trust and perceived professionalism, elevating customer experience.
- Naturalness: Tomato.ai balances natural speech with accent softening to maintain comfort while improving clarity.
Why Tomato.ai Moves your Call Center KPIs
Designed for outcomes, not demos. Tomato.ai focuses on the three drivers that most reliably lift AHT, FCR, and CSAT: intelligibility, accentedness reduction, and acoustic cleanliness.
- Faster resolutions → Lower AHT & higher FCR
- Higher intelligibility means fewer back-and-forths, fewer repeats, and faster comprehension of names, numbers, and addresses.
- Consistent clarity in noise keeps agents productive during peak conditions and reduces repeat calls.
- Happier customers → Higher CSAT & NPS
- Less perceived effort: Reducing accent traces lowers cognitive load for customers and reduces frustration.
- Confidence & trust: Clean, artifact-free audio sounds more professional and improves brand perception.
- Better QA & compliance
- Clearer recordings improve transcription accuracy and make PCI/PII redaction more reliable.
- Coachability: QA teams can pinpoint issues quickly when speech is easier to parse.
Main Takeaway
- Tomato.ai is most preferred in blind listening tests (269 listeners provided thousands of votes across audio pairs and metrics), a strong endorsement of user satisfaction.
- Tomato.ai’s latency is well within the usable range for call centers that require real-time performance.
In sum, Tomato.ai matches or surpasses alternatives on the metrics that matter most and wins listener preference, making it a compelling choice for businesses that prioritize effective, real-time accent softening without sacrificing audio quality.
Comparing Audio Samples
| # | Observations | Audio |
|---|---|---|
| 1 |
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Original Krisp Tomato.ai |
| 2 |
|
Original Krisp Tomato.ai |
| 3 |
|
Original Krisp Tomato.ai |
| 4 |
|
Original Krisp Tomato.ai |
| 5 |
|
Original Krisp Tomato.ai |
| 6 |
|
Original Krisp Tomato.ai |
| 7 |
|
Original Krisp Tomato.ai |
| 8 |
|
Original Krisp Tomato.ai |
| 9 |
|
Original Krisp Tomato.ai |
Capabilities Compared
| Tomato.ai | Krisp | |
|---|---|---|
Accent Softening Robustness |
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| Supported Accents |
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| Modes of operation |
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| Scalable range of output voices |
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| Accent leakage |
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| Background noise and voice cancellation robustness | Highly robust, automatically included in Accent Softening models | Robust, included in processing pipeline |
| Agent and customer-side noise cancellation | Bi-directional, included | Bi-directional, included |
Application and audio drivers robustness |
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| CPU utilization |
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| Audio drivers | Highly reliable and tested | Mature and widely used |
Management and deployment at scale |
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| Supported platforms | Windows | Windows, Mac, Linux, Chrome, VDI |
| Installation package | Single installer includes universal accent solution and noise cancellation | Single installer includes required components |
| SSO authentication |
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| Remote deployment and settings for admins | Highly scalable | Highly scalable |
| App version management and auto-update | Highly scalable | Highly scalable |
| Analytics for Accent Softening, Noise Cancellation, usage | Available | Available |
| Enterprise-Grade Support |
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Correction and Disclaimer
The original version of this post compared Tomato.ai and Krisp to Sanas. Sanas has informed us that the data referenced from a Krisp blog post was based on information that is out of date and may not reflect its product. In the interest of fairness and transparency, all Sanas-related data and references have been removed. All rights are reserved.