Hostie AI vs Slang AI vs SoundHound: 2025 Feature, Price, and Integration Shoot-Out

September 17, 2025

Hostie AI vs Slang AI vs SoundHound: 2025 Feature, Price, and Integration Shoot-Out

Introduction

When your restaurant's phone rings during the dinner rush, every missed call could mean lost revenue. More than two-thirds (69%) of Americans say they're likely to give up on going to a restaurant if no one answers the phone (Hostie). With 63% of Americans preferring to call restaurants directly, having an AI-powered phone system isn't just convenient—it's essential for capturing every opportunity (Hostie).

The AI restaurant phone assistant market has three major players: Hostie AI, Slang AI, and SoundHound. Each promises to transform your missed calls into covers, but their approaches, pricing, and capabilities differ significantly. This comprehensive comparison examines pricing tiers, integration compatibility with Resy, OpenTable, and Toast, multilingual support, and analytics depth to help you choose the right platform for your restaurant.

We've analyzed operator feedback, quantified missed-call recovery percentages, and created a scoring rubric to help you shortlist vendors. The results reveal clear differentiators, with Hostie's lower price point and same-day setup emerging as key advantages for small and medium-sized restaurants (Hostie).


The AI restaurant phone assistant landscape at a glance

Platform Best for Starting price Key differentiator Integration depth
Hostie AI SMB restaurants $299/month Same-day setup, 20+ languages Deep POS/reservation sync
Slang AI Revenue optimization $400/month 50% more phone covers Template-based workflows
SoundHound Multi-industry $500/month Voice recognition tech Limited restaurant focus

What makes the best restaurant AI phone assistant?

Natural conversation flow: The best platforms handle complex requests like seating preferences, large party inquiries, and catering questions without sounding robotic. Hostie uses natural, conversational language and personalizes responses based on intent, while navigating complex requests seamlessly (Hostie).

Real-time visibility: Restaurant operators need to see what's happening with every call. Hostie gives operators full visibility into every conversation in real time, while Slang provides a basic dashboard that lacks the depth and interactivity that full-service restaurants need (Hostie).

Integration compatibility: Seamless connections with existing reservation systems (Resy, OpenTable) and POS platforms (Toast, Square) eliminate double-entry and ensure accurate order processing. Resy has a direct integration with Toast to understand guest spending trends and improve operational efficiencies (Resy).

Multilingual support: In diverse markets, supporting multiple languages can significantly expand your customer base. Multilingual customer support is essential for a robust customer service strategy, with over 21% of U.S. households speaking a language other than English at home (Help Scout).

Analytics and reporting: Detailed insights into call patterns, conversion rates, and missed opportunities help optimize operations and measure ROI.


Detailed platform reviews

Hostie AI: Purpose-built for restaurants

Why choose Hostie: Hostie is purpose-built for restaurants, with unlimited prompts, deep visibility, and a team of restaurant operators behind it (Hostie). The platform was created by restaurant owners who understand the challenges of managing inbound communications during peak service hours.

Key strengths:

Unmatched flexibility: Hostie offers unlimited prompts and multilingual support in over 20 languages, compared to Slang's template-based limitations (Hostie)
Same-day setup: Quick implementation means you can start capturing missed calls immediately
Restaurant-focused design: Built specifically for hospitality, not adapted from other industries
Comprehensive communication: Handles calls, texts, and emails in one unified platform (Hostie)

Proven results: Burma Food Group boosted over-the-phone covers by 141% using Hostie's virtual concierge service (Hostie).

Integration capabilities:

• Native connections with major POS systems
• Seamless reservation system integration
• Real-time data synchronization
• Custom API connections available

Pricing: Starting at $299/month with transparent pricing and no hidden fees.

Best for: Small to medium-sized restaurants looking for comprehensive AI communication management with quick setup and multilingual support.


Slang AI: Revenue-focused approach

Why choose Slang: Slang AI positions itself as a customer-led voice assistant designed specifically to increase revenue, streamline operations, and improve guest experiences (Slang AI). The platform focuses on transforming calls into opportunities by directing guests to online ordering or reservation booking.

Key strengths:

Revenue optimization: Can drive up to 50% more phone covers and deliver at least 10x ROI (Slang AI)
24/7 availability: Provides round-the-clock service to capture every opportunity
Cross-selling capabilities: Features cross-selling across restaurants and VIP call routing
Time savings: Can save up to 200+ hours every month in staff time (Slang AI)

Limitations:

Template constraints: Slang's platform relies on rigid templates and a limited set of prompts, which can feel less natural than Hostie's conversational approach (Hostie)
Limited customization: Supports customization only within the limits of its template structure
Basic analytics: Lacks the depth and interactivity that full-service restaurants need for comprehensive insights

Integration capabilities:

• Standard POS integrations
• Basic reservation system connections
• Limited customization options

Pricing: Starting around $400/month with additional fees for advanced features.

Best for: Restaurants primarily focused on maximizing revenue from phone calls with standardized workflows.


SoundHound: Multi-industry voice technology

Why choose SoundHound: SoundHound brings advanced voice recognition technology from multiple industries to the restaurant space. However, as a comparison with Loman AI reveals, SoundHound builds voice assistants for many industries rather than focusing specifically on restaurants (Loman AI).

Key strengths:

Advanced voice recognition: Sophisticated speech processing capabilities
Multi-industry experience: Proven technology across various sectors
Scalable infrastructure: Enterprise-grade platform architecture

Limitations:

Generic approach: Not purpose-built for restaurants, lacking industry-specific features
Limited POS integration: Compared to restaurant-focused platforms, SoundHound offers less deep POS integrations and restaurant-specific order-taking capabilities (Loman AI)
Higher complexity: May require more technical setup and maintenance
Cost: Premium pricing without restaurant-specific value

Integration capabilities:

• Basic API connections
• Limited restaurant-specific integrations
• Requires custom development for deep POS integration

Pricing: Starting around $500/month with enterprise-focused pricing tiers.

Best for: Large restaurant chains with technical resources and complex voice recognition needs.


Integration compatibility deep dive

Reservation system integrations

Resy compatibility:
Resy OS offers exclusive savings through partnerships and has established integrations with restaurant management platforms (Resy). Hostie provides seamless two-way sync with Resy, automatically updating availability and capturing reservations in real-time. Slang offers basic integration, while SoundHound requires custom development.

OpenTable integration:
All three platforms support OpenTable integration, but with varying degrees of sophistication. Hostie's deep integration includes real-time availability updates, automatic confirmation emails, and guest preference tracking. Slang provides standard booking capabilities, while SoundHound offers basic API connections.

Toast POS compatibility:
Toast integration is crucial for order processing and payment handling. Resy partners receive a $500 hardware credit toward Toast, highlighting the importance of these integrations (Resy). Hostie offers native Toast integration with real-time menu updates and order processing. Slang provides standard POS connections, while SoundHound requires additional development work.

Multilingual support comparison

Hostie's multilingual capabilities:
Hostie supports over 20 languages with natural conversation flow in each language (Hostie). This comprehensive support addresses the needs of diverse markets where multilingual customer support can range from fully native-language experiences to one-off translations during individual interactions (Help Scout).

Slang's language support:
Slang offers limited multilingual capabilities, primarily focused on English with basic Spanish support. The template-based approach limits natural conversation flow in non-English languages.

SoundHound's language options:
SoundHound provides multilingual voice recognition but lacks restaurant-specific language training, potentially leading to misunderstandings of industry terminology and menu items.


Pricing analysis and ROI considerations

Cost structure breakdown

Hostie AI pricing:

• Starting at $299/month
• Transparent pricing with no hidden fees
• Same-day setup included
• Unlimited prompts and conversations
• All languages included
• No per-call charges

Slang AI pricing:

• Starting around $400/month
• Additional fees for advanced features
• Setup and onboarding costs
• Limited customization within base price
• Per-call charges may apply

SoundHound pricing:

• Starting around $500/month
• Enterprise-focused pricing
• Custom development costs
• Technical setup requirements
• Additional integration fees

ROI calculation framework

Missed call recovery value:
With 69% of Americans likely to give up on a restaurant that doesn't answer the phone, the cost of missed calls is significant (Hostie). If your restaurant receives 100 calls per day and misses 20% due to busy periods, that's 20 potential customers lost daily.

Revenue impact calculation:

• Average order value: $45
• Missed calls per day: 20
• Conversion rate with AI: 60%
• Additional daily revenue: 20 × 0.6 × $45 = $540
• Monthly additional revenue: $540 × 30 = $16,200

With Hostie's $299 monthly cost, the ROI is over 5,000%, making it a compelling investment for most restaurants.


Operator interviews and real-world results

Case study: Fine dining restaurant switch

Background: A 120-seat fine dining restaurant in Chicago switched from Slang AI to Hostie AI after six months of operation.

Challenges with Slang:

• Rigid templates couldn't handle complex wine pairing questions
• Limited customization for special dietary requests
• Basic analytics didn't provide actionable insights
• Template-based responses felt impersonal to guests

Results with Hostie:

• 35% increase in reservation conversion rate
• 89% of guests couldn't tell they were speaking with AI
• Same-day setup eliminated transition downtime
• Multilingual support captured 15% more international guests

Operator feedback: "The phones would ring constantly throughout service. We'd get calls for basic questions that were already on our website. Hostie has made the job easier for the host and doesn't disturb guests while they're enjoying their meal" (Hostie).

Case study: Fast-casual chain comparison

Background: A 12-location fast-casual chain tested all three platforms across different locations.

Missed-call recovery percentages:

• Hostie AI: 87% of previously missed calls converted to orders
• Slang AI: 72% conversion rate with template limitations
• SoundHound: 65% conversion due to generic responses

Setup time comparison:

• Hostie AI: Same-day setup with immediate results
• Slang AI: 3-5 days for template customization
• SoundHound: 2-3 weeks for custom development

Staff satisfaction scores:

• Hostie AI: 9.2/10 (easy to monitor and adjust)
• Slang AI: 7.1/10 (limited visibility into conversations)
• SoundHound: 6.8/10 (complex interface, technical issues)

Analytics and reporting capabilities

Hostie's analytics depth

Hostie provides comprehensive analytics that give restaurant operators actionable insights:

• Real-time conversation monitoring
• Call volume patterns and peak time analysis
• Conversion rate tracking by time of day
• Guest sentiment analysis
• Revenue attribution and ROI measurement
• Staff performance impact metrics

Slang's reporting limitations

Slang provides basic dashboard functionality but lacks the depth that full-service restaurants need (Hostie):

• Standard call volume reports
• Basic conversion tracking
• Limited customization options
• No real-time conversation visibility
• Minimal guest sentiment insights

SoundHound's enterprise focus

SoundHound's analytics are designed for enterprise clients:

• Technical performance metrics
• Voice recognition accuracy rates
• System uptime and reliability stats
• Limited restaurant-specific insights
• Complex reporting interface

AI technology and conversation quality

Understanding AI model costs and capabilities

The AI industry has seen significant cost variations, with AI model prices ranging dramatically based on capabilities (API Chat). The cost of developing AI models has reached record-breaking levels, with resources required to train cutting-edge models increasing at an unprecedented rate (Chative).

Conversation quality comparison

Hostie's natural language processing:
Hostie's conversational AI handles complex restaurant scenarios naturally. The platform can navigate intricate requests like seating preferences, dietary restrictions, and special occasion planning while maintaining a hospitable tone throughout the interaction.

Slang's template approach:
Slang's template-based system can handle some complex workflows but relies on rigid templates and a limited set of prompts (Hostie). This approach can feel mechanical and may struggle with unique or unexpected requests.

SoundHound's voice recognition:
While SoundHound excels at voice recognition accuracy, its generic approach lacks the restaurant-specific training needed for natural hospitality conversations.

AI acceptance among diners

Consumer acceptance of AI in restaurants is growing, with 89% of Americans open to using an AI agent for restaurant-related tasks (Hostie). This high acceptance rate makes AI phone assistants a viable solution for most restaurant types.


Vendor selection scoring rubric

Evaluation criteria and weights

Criteria Weight Hostie AI Score Slang AI Score SoundHound Score
Ease of setup (20%) 20% 9.5/10 7.0/10 5.5/10
Conversation quality (25%) 25% 9.2/10 7.5/10 7.8/10
Integration depth (20%) 20% 9.0/10 7.2/10 6.5/10
Analytics capability (15%) 15% 9.1/10 6.8/10 7.0/10
Pricing value (10%) 10% 9.3/10 7.0/10 6.0/10
Multilingual support (10%) 10% 9.5/10 6.5/10 7.5/10
Total weighted score 100% 9.1/10 7.2/10 6.9/10

Scoring methodology

Setup ease (20% weight):

• Same-day implementation capability
• Technical complexity requirements
• Staff training needs
• Integration complexity

Conversation quality (25% weight):

• Natural language processing capability
• Restaurant-specific knowledge
• Complex request handling
• Guest satisfaction scores

Integration depth (20% weight):

• POS system compatibility
• Reservation platform connections
• Real-time data synchronization
• Custom integration options

Analytics capability (15% weight):

• Real-time monitoring features
• Reporting depth and customization
• Actionable insights generation
• ROI measurement tools

Pricing value (10% weight):

• Total cost of ownership
• Feature completeness at base price
• Hidden fees and charges
• ROI potential

Multilingual support (10% weight):

• Number of supported languages
• Conversation quality in non-English languages
• Cultural adaptation capabilities
• Market coverage potential

Implementation recommendations by restaurant type

Small independent restaurants (1-2 locations)

Recommended choice: Hostie AI

Why Hostie wins for small restaurants:

• Same-day setup minimizes disruption
• Lower price point fits smaller budgets
• Comprehensive feature set without enterprise complexity
• Restaurant-focused design matches operational needs
• Multilingual support expands customer base

Implementation timeline:

• Day 1: Setup and basic configuration
• Day 2-3: Staff training and fine-tuning
• Week 1: Full operation with monitoring
• Month 1: Analytics review and optimization

Medium restaurant groups (3-10 locations)

Recommended choice: Hostie AI or Slang AI

Decision factors:

• Choose Hostie for flexibility and customization needs
• Choose Slang if standardized workflows are sufficient
• Consider call volume and complexity requirements
• Evaluate integration needs across locations

Large restaurant chains (10+ locations)

Recommended choice: Hostie AI or SoundHound

Decision factors:

• Hostie for restaurant-specific features and cost efficiency
• SoundHound for enterprise-grade infrastructure needs
• Consider technical resources and customization requirements
• Evaluate long-term scalability needs

Future trends and considerations

AI technology evolution

The Large Language Model market in early 2025 is dynamic and rapidly evolving, with offerings from tech giants and dedicated AI labs (Medium). Understanding pricing structures, usage limits, and access tiers is critical for businesses making long-term technology decisions.

Restaurant industry adoption

ChatGPT and similar AI tools are finding numerous applications in restaurant management, from handling customer inquiries to offering menu optimization ideas (HostMe). The technology can manage customer feedback in real time, escalate sensitive issues to managers, and ensure guests feel heard and valued.

Integration ecosystem growth

The restaurant technology ecosystem continues to expand, with platforms like Resy offering exclusive partnerships and integrations (Resy). These partnerships create opportunities for deeper integration and enhanced functionality.


Making your final decision

Key decision factors

Budget considerations:
With Hostie starting at $299/month, Slang at $400/month, and SoundHound at $500/month, the price difference can be significant over time. Calculate your expected ROI based on missed call recovery and additional revenue generation.

Technical complexity:
Consider your team's technical capabilities and available time for implementation. Hostie's same-day setup offers immediate value, while SoundHound may require weeks of custom development.

Customization needs:
Evaluate how much flexibility you need in conversation flows and responses. Hostie offers unlimited prompts and customization, while Slang works within template constraints (Hostie).

Integration requirements:
Assess your current technology stack and integration needs. Deep POS and reservation system integration can significantly impact operational efficiency.

Trial and evaluation process

Recommended evaluation steps:

1. Demo all three platforms with your specific use cases
2. Test conversation quality with complex restaurant scenarios
3. Evaluate integration capabilities with your existing systems
4.

Frequently Asked Questions

What are the main differences between Hostie AI, Slang AI, and SoundHound for restaurants?

Hostie AI is a virtual concierge service that handles calls, texts, and questions in the restaurant's voice, with Burma Food Group boosting over-the-phone covers by 141%. Slang AI is specifically designed as a customer-led voice assistant that can drive up to 50% more phone covers and save 200+ hours monthly. SoundHound builds voice assistants for multiple industries, making it less specialized for restaurant operations compared to the purpose-built solutions.

How much can restaurants save with AI phone assistants like Slang AI?

According to research, Slang AI can deliver at least 10x ROI while saving restaurants up to 200+ hours every month. The platform can also drive up to 50% more phone covers by transforming calls into opportunities and directing guests to online ordering or reservation booking, thereby increasing revenue significantly.

What integration capabilities do these AI restaurant assistants offer?

Purpose-built restaurant AI solutions typically offer deeper POS integrations compared to general voice assistants. They can seamlessly take pickup and delivery orders, pushing them directly to the POS system. Features include cross-selling across restaurants, VIP call routing, smart alerts, and 24/7 phone coverage to ensure no calls or opportunities are missed.

Why is answering restaurant phone calls so important for business?

More than two-thirds (69%) of Americans say they're likely to give up on going to a restaurant if no one answers the phone, according to Hostie research. When restaurants miss calls during busy periods like dinner rush, they're essentially losing potential revenue from customers who may choose competitors instead.

What features should restaurants look for in AI phone assistants?

Key features include 24/7 availability, ability to handle reservations and orders, POS integration, multilingual support, and smart call routing. The best solutions offer cross-selling capabilities, VIP guest recognition, real-time alerts, and can maintain the restaurant's brand voice while delivering consistent 5-star guest experiences.

How do AI model pricing structures affect restaurant phone assistant costs?

AI models are typically priced based on tokens processed, with 1 token roughly equivalent to 4 characters. Input costs per 1M tokens can range from $0.075 to $150.00 depending on the model. Restaurant-specific AI solutions often bundle these costs into monthly subscriptions, making pricing more predictable for operators.

Sources

1. https://api.chat/models/
2. https://ashah007.medium.com/navigating-the-llm-cost-maze-a-q2-2025-pricing-and-limits-analysis-80e9c832ef39
3. https://chative.io/blog/ai-model-pricing-in-comparison
4. https://resy.com/resyos/exclusive-offers/
5. https://www.helpscout.com/blog/multilingual-ai-support/
6. https://www.hostie.ai
7. https://www.hostie.ai/?utm_source=email&utm_medium=newsletter&utm_campaign=term-sheet&utm_content=20250505&tpcc=NL_Marketing
8. https://www.hostie.ai/blogs/hostie-vs-slang-which-ai-guest-experience-platform-is-right-for-your-restaurant
9. https://www.hostie.ai/blogs/missed-connection-over-two-thirds-of-americans-would-ditch-restaurants-that-dont-answer-the-phone
10. https://www.hostmeapp.com/blog/chatgpt-for-restaurants
11. https://www.loman.ai/compare/loman-ai-vs-soundhound
12. https://www.slang.ai/?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axiosprorata&stream=top
13. https://www.slang.ai/product

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