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Gradium Release notes and new features

Private · Paris, France · 27 releases · 2 this month

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Gradium releases

November 2026 digest

Create a voice from a written description, no audio sample needed

Create a voice from a written description, no audio sample needed. Describe the accent, age and character you need, generate up to five candidates, and keep your favourite. The voice works with the same Text-to-Speech endpoint as any catalogue voice. In our blind listening evaluation, native speakers judged how well voices matched accent prompts.

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A new Gradium Text-to-Speech model is live and is now the default

A new Gradium Text-to-Speech model is live and is now the default. Existing voices, including custom voices, work as-is. The model reads the structured entities that break voice agents in production, such as phone numbers, email addresses, IBANs and reference codes, with no pre-processing or text normalization needed.

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Speech-to-Text requests now require a language in json_config

Speech-to-Text requests now require a language in json_config . Our ASR gives its best results when the language is known, so set it whenever you can: en , fr , es , pt , or de . When the language is not known ahead of time, pass any and the model detects it from the audio. Requests that already set a language or any are unaffected.

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2026.02

We're excited to announce major updates to the Gradium API and Gradium Studio, delivering enhanced text-to-speech (TTS) and speech-to-text (STT) capabilities for developers and enterprises.

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A new Gradium Text-to-Speech model is available in public beta

A new Gradium Text-to-Speech model is available in public beta. It handles complex text natively, with no pre-processing or normalization on your side: phone numbers in national and international formats, email addresses, IBAN numbers, time expressions, reference codes, measurements, URLs and ordinals.

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A new Speech-to-Text model is now live on the standard endpoint

A new Speech-to-Text model is now live on the standard endpoint. Transcription is more robust on low volume audio, so soft speakers and far field microphones are recognised with improved reliability. Endpointing is more reactive, so the end of an utterance is detected sooner and voice agents can start responding with less delay.

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About and activity

Builds low-latency voice AI models for conversational agents; the $100M total includes a $30M extension of its seed round.

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