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Bland Speech is a text-to-speech model built for live conversation. It captures the breath, pacing, hesitation, and emotional movement that make speech feel real, so a synthetic voice reads like a person rather than a narrator. Most TTS is built around clean studio reads: audiobooks, voiceover, promo. Bland Speech is built for the moments where synthetic speech usually breaks: pauses, names, numbers, emotion, mid-sentence changes, and everything else a phone call throws at a voice.

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What makes it different

Human-like realism

Breath, pacing, hesitation, cadence, emotional movement. Not a polished studio read, a voice that sounds like a person.

Built for real conversations

Timing, interruptions, mid-thought changes. Tuned for live speech, not narration.

Audio realism as the goal

Judged on how real the audio sounds against the same text and the same voice, not on a checklist of features.

Direct in plain language

Say warmer, more tired, or slower at the end. No prompt tags, no sliders, no grammar to memorize.

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Start here

Bland TTS SDK

Focused CLI, Node library, and MCP server. The fastest path from install to first audio.

Synthesize Speech

POST /v2/tts. Turn text into audio in one request, stream the frames back as they render.

Clone a voice

Bring your own voice with a short reference audio and use it in any synthesis.

Browse voices

Bland’s curated library plus every voice your org has cloned.

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Try it

Create an account at studio.bland.ai/signup, grab an API key, then:
That returns a wav you can play. Swap voice for any UUID from List Voices.