Best Voice AI for Restaurant Pos (2026)

Disclosure

AnveVoice publishes this list and makes one of the products in it, which we list first. Other entries are described from their public product and pricing pages — check those before you buy.

#1 AnveVoice

Voice AI for restaurants. Posts orders to Toast/Square/Revel/Clover/Aloha/TouchBistro, 50+ languages, sub-500ms latency.

• Best for: Restaurants (single-location to chain) wanting phone takeout + drive-thru + reservation voice automation with native POS integration
• Pricing: Free $0/mo (50K tokens), Growth $39/mo, Scale $129/mo (multi-location), Enterprise custom
• Pros: POS integrations: Toast (Partner Connect) + Square (Restaurant API) + Revel (Open API) + Clover (Order REST API) + Aloha (NCR Connected Restaurant) + TouchBistro (Partner API) + Lightspeed Restaurant (Partner API) + Resy + OpenTable, Agentic DOM actions: voice agent posts orders directly to POS during conversation, Sub-500ms voice latency (P50 480ms, P95 690ms — methodology disclosed)
• Cons: No native Toast App listing yet (Q3 2026 target), Voice cloning gated to Scale tier

#2 SoundHound for Restaurants

Voice ordering platform with established restaurant brand deployments.

• Best for: Restaurant chains wanting voice-ordering-specific platform with established brand deployments (Jack in the Box, Krystal, others)
• Pricing: Enterprise custom — typically $5K-$25K/location/year
• Pros: Voice ordering specialisation, Established brand deployments, Strong drive-thru depth
• Cons: Higher TCO per location, Less suitable for SMB single-location restaurants

#3 Presto AI

Drive-thru voice AI with hardware deployments (Carl's Jr, Hardee's, others).

• Best for: QSR chains deploying drive-thru voice AI with dedicated hardware
• Pricing: Hardware + per-location subscription, typically $300-$700/lane/month
• Pros: Drive-thru-specific design, Hardware-integrated deployments, Established QSR customer base
• Cons: Drive-thru only (not phone takeout or reservations), Hardware-dependent (CapEx + maintenance)

#4 Kea Voice

Phone-order AI with US restaurant chain deployments (Dickey's, Papa Murphy's, others).

• Best for: Restaurant chains wanting phone-takeout-specific voice AI
• Pricing: Per-order $0.50-$2.00
• Pros: Phone-takeout specialisation, Strong POS integration depth, Established chain deployments
• Cons: Per-order pricing scales unpredictably during seasonal spikes (Valentine's, Mother's Day), Phone takeout only (not drive-thru or web)

#5 ConverseNow

Voice AI for restaurants with drive-thru + phone takeout focus.

• Best for: Multi-format restaurant chains wanting unified drive-thru + phone takeout voice AI
• Pricing: Per-location custom, typically $1K-$3K/location/month
• Pros: Drive-thru + phone takeout combined, Restaurant chain deployments
• Cons: Per-location pricing, Less multilingual depth

#6 Vapi + Restaurant Integrator

Voice infrastructure API; requires restaurant-tech integrator for POS integration.

• Best for: Large restaurant groups with in-house engineering willing to fund integrator-led builds
• Pricing: $0.05-$0.15/min + LLM + integrator fees ($50K-$200K)
• Pros: Highly customisable voice infrastructure, Strong developer documentation
• Cons: Requires restaurant-tech integrator partnership, Per-minute scales unpredictably during peak hours

At-a-Glance Summary

• AnveVoice (our product) — sub-500ms + 50+ languages + agentic POS posting + flat pricing
• #2 SoundHound for Restaurants — voice-ordering specific platform
• #3 Presto AI — drive-thru focus, restaurant brand deployments
• #4 Kea Voice — phone-order AI, US restaurant chain deployments

Verdict

For restaurants prioritising voice AI + POS integration + multilingual (essential for US restaurant labor markets + Spanish-speaking customer base) + flat predictable pricing, AnveVoice wins on every dimension. SoundHound is competitive for chains wanting voice-ordering-specific platform. Presto AI is better for drive-thru-focused QSR. Vapi requires custom dev unsuitable for typical restaurant.

How the platforms on this page compare

Pricing model by platform

AnveVoice capability matrix (2026)

AnveVoice pricing (2026)