Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Google AI's Chirp: Cutting-Edge Speech-to-Text Technology

Chirp represents the latest breakthrough in speech-to-text processing, developed by Google AI and integrated into Google Cloud's Speech API. This revolutionary model boasts 2 billion parameters and leverages self-supervised learning from millions of hours of audio and 28 billion text sentences across more than 100 languages. Chirp achieves a remarkable 98% speech recognition accuracy in English and a 300% relative improvement in several languages spoken by less than 10 million people.

General
Release date2023
AuthorGoogle AI
TypeSpeech-to-Text

Standout Capabilities

  • Broad Language Support: Chirp caters to over 100 languages, ensuring top-notch speech recognition for a wide array of languages and accents.
  • Unparalleled Accuracy: With 98% speech recognition accuracy in English and notable enhancements in other languages, Chirp sets a new industry standard.
  • Massive Model Size: Chirp's 2-billion-parameter model outpaces previous speech models to deliver superior performance.
  • Innovative Training Approach: Chirp's encoder is initially trained with an enormous amount of unsupervised (unlabeled) audio data from 100+ languages, followed by fine-tuning for transcription in each specific language using smaller supervised datasets.

Start Building with Chirp

We have collected the best Chirp libraries and resources to help you get started and build state-of-the-art speech-to-text applications.

Chirp Libraries

A curated list of libraries and technologies to help you build great projects with Chirp.

Chirp Boilerplates

Kickstart your development with a Chirp based boilerplate. Boilerplates is a great way to headstart when building your next project with Chirp.


Google Chirp AI technology Hackathon projects

Discover innovative solutions crafted with Google Chirp AI technology, developed by our community members during our engaging hackathons.

Revv OS Powered by AutoSight

Revv OS Powered by AutoSight

Revv is an enterprise-grade B2B SaaS platform designed to modernize the automotive retail experience. Today, dealerships struggle with static car listings and high-friction sales cycles. Revv solves this by utilizing AutoSight, our proprietary, autonomous multi-agent engine, to transform raw vehicle data into high-fidelity, cinematic 3D digital twins in under two minutes. The AutoSight Engine: At the core of the platform is a deterministic pipeline orchestrated by Google Cloud Workflows. This serverless state machine coordinates seven specialized AI agents powered by Gemini 3 Pro and Flash. The process moves from Ingestion (verifying real-world awards via Google Search Grounding) to Director-level decision-making, where the AI chooses between 2D imagery or interactive 3D WebGL "Tech Views." Using Imagen 3 for cinematic backgrounds and Geminiโ€™s spatial vision for hotspot localization, AutoSight creates a narrative that explains complex technical specs through emotion and immersion. A Sovereign Infrastructure: To ensure true data sovereignty for dealerships, Revv is built on a distributed Vultr architecture. We utilize three dedicated Vultr Cloud Compute instances to host our frontend, our AI backend, and a self-hosted Supabase environment (PostgreSQL + pgvector). Massive images assets and neural audio tracks are offloaded to Vultr Object Storage, providing a scalable, secure, and high-performance environment that bypasses the limitations of shared public clouds. The Conversational Edge: For buyers, Revv offers the AutoSight Live Agent. Powered by the Gemini Multimodal Live API, this provides a real-time, low-latency speech-to-speech assistant. Backed by a Multimodal RAG system using Vertex AI Embeddings, the agent can "see" and query uploaded PDF manuals, extracting facts from complex tables and images to provide grounded answers. Shoppers can even book test drives mid-conversation via native tool-calling, which instantly triggers an interactive booking widget.

NetConnect

NetConnect

Public Sector Network Connectivity Analyzer The Public Sector Network Connectivity Analyzer is a comprehensive solution designed to address the critical need for reliable network monitoring across public institutions. Our application serves as an essential tool for IT administrators managing connectivity infrastructure for schools, healthcare facilities, government offices, libraries, and other public service organizations. Core Capabilities Real-Time Network Visualization Interactive diagrams and topology maps provide clear visibility into how public institutions are connected, displaying network elements, connection points, and infrastructure components with intuitive visualization tools. Performance Monitoring System Our platform continuously tracks vital network metrics including uptime percentages, latency measurements, bandwidth utilization, and connection status across the entire public sector network, enabling proactive management. Advanced Simulation Engine IT professionals can run comprehensive simulations to test network resilience under various scenarios such as increased user loads, infrastructure failures, or cyber incidents, helping identify vulnerabilities before they impact critical services. Institution Management Portal Administrators can efficiently manage information about connected institutions, monitor their connection status in real-time, and access detailed performance metrics through a unified dashboard interface. Geographic Mapping Integration Our system incorporates geographic visualization capabilities to display the physical distribution of institutions and network infrastructure across regions, facilitating better resource allocation and planning. Technical Implementation This solution addresses the unique challenges faced by public sector organizations that require reliable connectivity for delivering essential services to communities, while providing the tools needed to ensure network resilience, performance, and security.