G2's Summer 2025 Voice Recognition Reports: AssemblyAI receives top rankings across key categories

G2's Summer 2025 Voice Recognition reports are out, and we're pleased to share that AssemblyAI has earned top rankings across 10 different categories. These peer-reviewed rankings, based on real customer feedback, reflect the ongoing work we're doing to build reliable Speech AI for conversation intelligence applications.

The numbers don't lie: Customer success drives recognition

G2's rankings aren’t just badges---they’re validation from the organizations trusting AssemblyAI to power their mission-critical applications. Here’s what our customers are achieving: 

CallRail: Transforming call analytics at scale

• 23% improvement in transcription accuracy
• 2x increase in Conversation Intelligence product usage
• Now serving 200,000+ businesses worldwide with superior call insights

Fireflies: Scaling with confidence

• Grew from startup to 17 million users in just 2 years
• Achieved $100M ARR milestone
• Processes millions of conversations daily with 99.9% uptime

WhatConverts: Maximizing ROI

• Realized 50-60% cost savings versus major cloud providers
• Maintained enterprise-grade quality at scale
• Accelerated product development with developer-friendly APIs

These aren't just customer wins—they're proof points that demonstrate why the G2 community consistently ranks AssemblyAI among the top performers in voice recognition.

Industry research: Understanding the CI transformation

Our G2 performance aligns with broader industry trends we've documented in our 2025 State of Conversation Intelligence Report. After surveying industry-leading founders, product leaders, and engineers, our research shows that conversation intelligence has moved from experimental to essential for many organizations.

The report reveals that teams are increasingly viewing voice data not just as raw input, but as a foundation for operational improvements and customer insights. These findings help inform our product development and explain why organizations are investing more heavily in production-ready CI solutions.

What sets AssemblyAI apart in the CI market

Our Summer 2025 Grid® Report performance reflects focus on four key areas that matter most to CI applications:

1. Superior accuracy in real-world scenarios

Production CI applications require reliable transcription across diverse audio conditions, multiple speakers, and various accents. Our Universal model is designed to handle these challenging scenarios that often cause basic speech recognition to struggle.

2. Comprehensive CI platform

Beyond transcription, we provide integrated features like speaker diarization, automatic language detection, PII redaction, sentiment analysis, and LeMUR's LLM capabilities for summaries and insights. This reduces the complexity of building comprehensive CI features.

3. Developer-focused 

Our APIs are designed for teams building CI applications, with documentation and features that accelerate development. Companies like Jiminny report that their customers see 15% higher win rates when using conversation insights powered by our platform.

4. Enterprise-grade reliability

We maintain SOC-2 Type II, PCI DSS, and GDPR compliance, and deliver 99.9% uptime with ~300ms latency. These operational requirements are essential for production CI applications.

Looking ahead: Continued innovation and growth

The conversation intelligence market is projected to reach $46.8B by 2033, with significant activity in contact centers (57 billion conversations annually) and meeting intelligence applications. As basic speech recognition becomes more accessible, the value is shifting toward platforms that can reliably handle production requirements and extract actionable insights from conversations.

As speech recognition becomes commoditized, the real value lies in platforms that can:

• Extract actionable insights from conversations
• Automate post-conversation workflows
• Integrate seamlessly with existing business systems
• Scale reliably to handle enterprise volumes

Organizations are increasingly focused on moving beyond basic transcription—automatically updating CRMs, generating follow-up tasks, and integrating voice data into existing business systems. This evolution requires Speech AI platforms that can reliably support these integrations at scale.

Join the leaders in Conversation Intelligence

These G2 rankings validate our focus on empowering developers and businesses to build world-class conversation intelligence applications. . As we continue advancing our speech-to-text and audio intelligence models , we remain committed to supporting organizations building CI features into their products and workflows.

Ready to see why G2 users consistently rank AssemblyAI as a top performer? Get started with our developer-friendly APIs and join the growing community of CI companies building the future of conversation intelligence.

Learn more about how AssemblyAI powers leading CI platforms like CallRail, Fireflies, and Jiminny in our conversation intelligence deep dive.