Gladia

Gladia is an artificial intelligence audio infrastructure platform that helps businesses, developers, content creators, and technology teams convert spoken audio into structured, searchable, and actionable information. Its main offering is a speech-to-text API that supports both real-time transcription and asynchronous processing of pre-recorded audio and video. The platform also provides audio intelligence capabilities that help applications extract information such as summaries, speaker identities, sentiment, named entities, and other useful details from conversations.

Founded in 2022, Gladia is a French AI company focused on making speech technology faster, more accurate, and easier to integrate into digital products. Its technology is designed for applications that need to understand spoken conversations, including meeting assistants, customer support systems, sales tools, media platforms, and voice-enabled applications. Rather than requiring businesses to build their own speech recognition infrastructure, Gladia provides APIs and integrations that can be incorporated into existing systems.

Speech-to-text is the foundation of Gladia’s platform. It converts spoken language into written text, making audio recordings easier to search, analyse, review, and reuse. Developers can send pre-recorded audio or video for asynchronous transcription, or stream audio to the API to receive results while a conversation is taking place.

Asynchronous transcription is useful when immediate results are not necessary. For example, a business can process recorded customer calls, interviews, podcasts, webinars, training sessions, or research interviews after the recording has finished. The API returns a transcript that can include timestamps, speaker labels, and other metadata.

Real-time transcription is designed for situations in which speech must be processed as it happens. Applications can display live captions, create meeting notes, support voice agents, and provide information to customer service representatives while a conversation is still in progress. Gladia advertises sub-300-millisecond latency for its real-time transcription technology, although actual performance depends on the network, audio source, configuration, and application.

A major feature of Gladia is its support for more than 100 languages. Its Solaria-1 model is designed to recognise speech across a broad range of languages and handle code-switching, where speakers move between languages within the same conversation. This is useful for international businesses and multilingual communities whose conversations do not always remain in one language.

Automatic language detection helps developers process audio without having to specify the spoken language in advance for every recording. The system can identify supported languages and follow language changes in compatible workflows. This can reduce the complexity of building multilingual applications and make the platform suitable for organisations serving customers across different regions.

Gladia’s documentation distinguishes between its models. Solaria-1 focuses on broad multilingual coverage and code-switching, while Solaria-3 is designed for conversational business audio in English and selected European languages. Model availability differs by transcription mode and language, so developers should consult the current supported-language documentation when selecting a model.

Gladia supports speaker diarization, which identifies different speakers within an audio recording and separates their contributions in the transcript. This feature is particularly valuable for interviews, meetings, conference calls, customer conversations, podcasts, and other recordings containing multiple people.

Speaker labels make it easier to understand who said what, review individual contributions, and build conversation analytics. Combined with timestamps, diarization can help users navigate recordings, locate specific statements, and align transcript segments with the original audio or video.

These capabilities can also support downstream applications such as meeting summaries, call quality monitoring, searchable media archives, and customer relationship management workflows. Accuracy may be affected by overlapping speech, background noise, recording quality, and speakers with similar vocal characteristics, so important transcripts should still be reviewed.

Gladia extends transcription with audio intelligence tools that transform raw speech into more useful information. Its platform supports features such as summarisation, sentiment analysis, named entity recognition, translation, and personally identifiable information redaction. These features can help applications move beyond simply recording what was said.

Summarisation can turn a lengthy discussion into a concise recap. In meeting applications, summaries may help users review decisions, important topics, and action items. In customer support, summaries can help representatives understand earlier interactions without listening to an entire call.

Sentiment analysis can identify signals associated with positive, negative, or neutral communication. Named entity recognition can extract relevant information such as people, organisations, dates, addresses, and other entities. These outputs can be useful for analytics, reporting, search, and automated workflows, but they should not be treated as infallible interpretations of human intent.

Gladia also provides an audio-to-LLM workflow that allows developers to combine audio processing with language-model capabilities. This can simplify the process of turning a conversation into structured output, such as a summary or other information required by an application. Developers should validate generated insights before using them for consequential decisions.

Gladia supports speech-to-text translation for multilingual applications. Its translation capabilities can help convert spoken content into a target language while retaining useful information such as timestamps and speaker labels where supported.

This can be helpful for international meetings, customer support operations, educational resources, podcasts, webinars, and video content. Media teams can use transcription and translation outputs to prepare subtitles, while businesses can use translated conversations to support multilingual communication.

Translation quality depends on the languages involved, the clarity of the recording, specialised terminology, and the context of the conversation. For legal, medical, or other high-stakes content, human review is advisable before relying on translated output.

Speech recognition systems may struggle with unusual names, company terminology, product names, acronyms, and industry-specific expressions. Gladia offers custom vocabulary and keyterm prompting features to help improve recognition of important terms.

These controls can be useful for businesses that frequently process conversations containing specialised vocabulary. For example, a technology company may need accurate recognition of product names and technical abbreviations, while a healthcare organisation may require consistent handling of clinical terminology.

Gladia also provides enhanced punctuation and name-consistency features in supported workflows. These capabilities help produce transcripts that are easier to read and more consistent across a collection of recordings. Results can still vary according to the recording conditions and the vocabulary involved.

Gladia highlights security and compliance as important aspects of its platform. Its current pricing information references GDPR, HIPAA, and SOC 2 Type II controls. The company also advertises European data residency and offers additional hosting and data-handling options for eligible enterprise deployments.

For organisations processing customer calls, employee meetings, research interviews, or other sensitive recordings, data handling is an important consideration. Gladia’s plans differ in model-training controls, retention options, hosting arrangements, and support. The self-service plan provides a model-training opt-out option, while enterprise arrangements include additional controls such as zero data retention and custom hosting.

Businesses should review Gladia’s current privacy documentation, contractual terms, and compliance information to determine whether the service meets their specific requirements. Compliance certifications do not automatically guarantee that every use of the platform satisfies an organisation’s legal obligations.

Gladia is designed primarily for developers who want to add transcription and audio intelligence to other applications. Its APIs support real-time streaming through WebSocket connections and asynchronous processing through REST-based workflows. The documentation includes getting-started guides, API references, examples, and instructions for working with supported SDKs.

The platform lists SDK support for Python and Node.js, alongside direct API access. Its integration ecosystem includes Pipecat, LiveKit, Vapi, Recall, Meeting BaaS, Attendee, Twilio, VideoSDK, Composio, Zapier, Make, and n8n. These integrations help developers connect Gladia with voice-agent frameworks, meeting assistants, telephony systems, and automation workflows.

Gladia also offers a developer playground where users can test transcription with their own audio before building a full integration. This makes it easier to evaluate transcript quality, language support, and processing behaviour before committing to a production implementation.

Gladia is particularly relevant to developers, startups, and organisations building meeting assistants, customer service applications, voice agents, media tools, transcription services, and multilingual communication products. It can also support academic research, education, sales analytics, and content production workflows.

Its principal advantages are broad language coverage, real-time and asynchronous transcription, speaker diarization, audio intelligence, and an integration-focused design. Its limitations include usage-based costs, model-specific language support, the need for technical implementation, and the possibility of transcription or analysis errors.

Overall, Gladia offers a comprehensive foundation for applications that need to convert spoken conversations into structured information. Organisations can begin with free credits, test the API using their own recordings, and evaluate whether the available models, language coverage, pricing, and privacy controls fit their requirements.