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Spotlight post

Gradium Extends Funding to $100 Million and Expands to Silicon Valley

Gradium extends its seed funding to $100 million, welcoming new investors including NVIDIA, and opens a San Francisco Bay Area office to scale its real-time voice AI.

July 8, 20263 min read
Gradium Extends Funding to $100 Million and Expands to Silicon Valley

Models

Text-to-SpeechTurn text into natural sounding voiceSpeech-to-TextTranscribe audio into text instantlyLive TranslationConvert voice to voice in real timeVoice CloningInstance or pro voice cloneOn-Device TTSOffline real-time natural voice

Showcase

Agent DemoTest our voice agent liveGradbotBuild voice agents in a single promptApp GalleryApps built on Gradium

Latest post

Natural conversation, live retrieval: Keenable search with Gradium

Gradium and Keenable are partnering to bring realtime web search into natural voice agents. Gradbot, Gradium's open source voice agent framework, is adding Keenable search so agents can retrieve fresh answers from the live web without breaking the flow of conversation.

July 10, 20263 min read
Natural conversation, live retrieval: Keenable search with Gradium

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DocsStart building in minutesStatusMonitor system performanceTrustSecurity and compliance

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AboutMeet the team behind GradiumCareersCome build with usPressMedia and news resources
PricingBlog
Sign in

Spotlight post

Gradium Extends Funding to $100 Million and Expands to Silicon Valley

Gradium extends its seed funding to $100 million, welcoming new investors including NVIDIA, and opens a San Francisco Bay Area office to scale its real-time voice AI.

July 8, 20263 min read
Gradium Extends Funding to $100 Million and Expands to Silicon Valley

Models

Text-to-SpeechTurn text into natural sounding voiceSpeech-to-TextTranscribe audio into text instantlyLive TranslationConvert voice to voice in real timeVoice CloningInstance or pro voice cloneOn-Device TTSOffline real-time natural voice

Showcase

Agent DemoTest our voice agent liveGradbotBuild voice agents in a single promptApp GalleryApps built on Gradium

Latest post

Natural conversation, live retrieval: Keenable search with Gradium

Gradium and Keenable are partnering to bring realtime web search into natural voice agents. Gradbot, Gradium's open source voice agent framework, is adding Keenable search so agents can retrieve fresh answers from the live web without breaking the flow of conversation.

July 10, 20263 min read
Natural conversation, live retrieval: Keenable search with Gradium

Build

DocsStart building in minutesStatusMonitor system performanceTrustSecurity and compliance

Company

AboutMeet the team behind GradiumCareersCome build with usPressMedia and news resources

Models

Text-to-SpeechSpeech-to-TextSpeech-to-SpeechLive translationOn-DeviceVoice Cloning

Showcase

Agent DemoGradbotApp Gallery

Build

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GradiumTranslateReal-Time Translation

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Translate to
Voice
Translation

Speak in any supported language, we'll detect it automatically. Your translated text appears here, and the translated speech plays back directly.

The best live translation API

Translate speech in real time into text or speech, with the highest accuracy and lowest latency.

Read the full blog post →
BLEU and MetricX versus latency: Gradium leads translation quality at low latency versus gemini-3.5-live-translate and gpt-realtime-translate

Translate in a few lines of code

Stream audio through the Gradium Speech-To-Speech endpoint and get translated audio back in real time.

translate.py
python
import numpy as np
from gradium import client as gradium_client

grc = gradium_client.GradiumClient()
setup = {
    "model_name": "s2s-translate",
    "input_format": "pcm_24000",
    "output_format": "pcm_48000",
    "voice_id": "cLONiZ4hQ8VpQ4Sz",
    "stt_model_name": "stt-translate",
    "tts_model_name": "default",
    "target_language": "en",
}

async with grc.s2s_realtime(wait_for_ready_on_start=True, **setup) as s2s:
    async def send_loop():
        for i in range(0, len(pcm), 1920):
            await s2s.send_audio(pcm[i : i + 1920])
        await s2s.send_eos()

    async def recv_loop():
        async for msg in s2s:
            if msg["type"] == "audio":
                out_pcm = np.frombuffer(b"".join(all_bytes), dtype=np.int16)
            elif msg["type"] == "text":
                print(msg["text"], end=" ", flush=True)

    async with asyncio.TaskGroup() as tg:
        tg.create_task(send_loop())
        tg.create_task(recv_loop())