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Gladia is a speech-to-text API that provides low-latency, high-accuracy transcription with native code-switching across multiple languages.
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overview
Gladia is a speech AI infrastructure tool developed by Gladia that enables developers and product owners to integrate advanced voice capabilities into their applications. It provides a Speech-to-Text (STT) API for converting audio into text, along with a suite of audio intelligence features. Gladia's core offering focuses on both asynchronous and real-time transcription, supporting over 100 languages with native code-switching and achieving low latency under 300 milliseconds. The company secured $16 million in Series A funding on October 15, 2024, to further advance its AI audio solutions, including the Solaria model launched on April 2, 2025, which boasts a 94% word accuracy rate for common languages.
quick facts
| Attribute | Value |
|---|---|
| Developer | Gladia |
| Business Model | Usage-based |
| Pricing | Freemium starting with $10 free credits |
| Platforms | Web, API |
| API Available | Yes |
| Integrations | Twilio, Vonage, Telnyx |
| Founded | Not specified, but Series A funding in 2024 |
| HQ | Paris, France |
| Funding | Series A ($16 million) |
| API Docs | https://docs.gladia.io/ |
| GitHub | https://github.com/gladiaio/ |
features
Gladia provides a robust set of features designed for high-accuracy and low-latency audio processing, catering to diverse application needs. These capabilities are integrated into its API, allowing developers to implement advanced speech AI functionalities.
use cases
Gladia is primarily designed for developers, product owners, and businesses that require advanced speech-to-text and audio intelligence capabilities for their applications. Its API-first approach makes it suitable for integration into existing systems across various industries.
pricing
Gladia operates on a freemium and usage-based pricing model, offering flexibility for different user needs. New users receive $10 in free credits to explore the platform's capabilities. The Pay-as-you-Go model charges based on audio duration processed, with an estimated cost of approximately $0.05 per minute of transcribed audio. For organizations with high volume requirements or specific needs, custom Enterprise pricing is available, which may include dedicated support and tailored features.
competitors
Gladia positions itself as a pure-play AI audio infrastructure provider, emphasizing its robust API for transcription and audio intelligence. Its key differentiators include strong multilingual expertise with native code-switching, industry-leading low latency for real-time streaming, and a comprehensive suite of audio intelligence features bundled into a single API. Gladia also highlights its enterprise-ready infrastructure, offering data sovereignty and flexible hosting options.
Deepgram offers a comprehensive voice AI platform with a focus on cost-effectiveness, custom model training for enterprise customers, and a unified platform for speech-to-text, text-to-speech, and conversational AI capabilities.
While both offer high-quality real-time speech-to-text, Deepgram is noted for its platform breadth and custom model training, whereas Gladia emphasizes speech recognition quality, data privacy (not using customer audio for retraining), and includes more audio intelligence features in its base pricing. Deepgram's multilingual and code-switching support is often cited as less robust compared to Gladia's.
AssemblyAI provides industry-leading Speech AI models for transcribing speech to text and extracting insights from voice data, with a unique framework for applying Large Language Models (LLMs) to speech.
AssemblyAI excels in advanced audio analysis and LLM-powered insights, particularly with its LeMUR framework, while Gladia focuses on real-time multilingual performance with native code-switching across 100+ languages and bundles all audio intelligence features. AssemblyAI's real-time streaming supports fewer languages than Gladia.
Google Cloud Speech-to-Text leverages Google's advanced AI and deep learning neural network algorithms to accurately convert voice to text in over 125 languages and variants.
Google Cloud Speech-to-Text offers broad language support and specialized features like medical transcription, but Gladia often claims superior accuracy in real-world, noisy audio and native code-switching, along with a focus on production-ready workflows and bundled audio intelligence.
Speechmatics offers speech-to-text with a strong emphasis on flexible deployment options (cloud, on-premise, hybrid) and accent robustness across a broad range of global languages.
Speechmatics provides extensive language coverage and robust performance in real-world audio with accents and noise, similar to Gladia's focus on messy audio, but Gladia specifically highlights native code-switching as a primary differentiator. Speechmatics also offers a freemium model.
Gladia is a speech AI infrastructure tool developed by Gladia that enables developers and product owners to integrate advanced voice capabilities into their applications. It provides a Speech-to-Text (STT) API for converting audio into text, along with a suite of audio intelligence features.
Gladia offers a freemium model. New users receive $10 in free credits to use the API. Beyond the free credits, it operates on a Pay-as-you-Go basis, charging approximately $0.05 per minute of transcribed audio. Custom Enterprise plans are available for high-volume usage.
Gladia's main features include high-accuracy, low-latency real-time transcription, support for over 100 languages with native code-switching, speaker diarization, sentiment analysis, named entity recognition, and PII redaction. It also offers custom vocabulary and is GDPR and HIPAA compliant.
Gladia is designed for developers, product owners, and businesses across various sectors such as contact centers, media production, and AI voice companies. It is suitable for anyone needing to integrate advanced speech-to-text and audio intelligence into their applications or workflows.
Gladia differentiates itself from competitors like Deepgram, AssemblyAI, Google Cloud Speech-to-Text, and Speechmatics through its strong emphasis on native code-switching across 100+ languages, industry-leading low latency (under 300ms), and a comprehensive suite of audio intelligence features bundled into a single API. It also highlights data privacy and enterprise-ready infrastructure.