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Text-to-speech: many languages, many voices, MP3 you can download

High-quality neural voices, fine speed control, and portable audio for your workflow.

Languages and voices

WebVoice groups voices by language so you can pick the locale that matches your content — from widely used languages to several regional accents and gender options where the underlying engine exposes them. You are not limited to a single default voice: switch per project or per sentence when experimenting in the studio.

The exact catalogue depends on the active TTS backend (for example high-quality neural runtimes with ONNX or cloud providers). The dashboard shows only voices that are available for your account, with readable names so you can compare timbre and style.

Speed, clarity and workflow

You can adjust speech rate within a safe range so announcements sound natural, tutorials stay understandable, and short prompts remain punchy. This is useful for accessibility, localization (some languages sound better slightly slower), and matching the pacing of a video or IVR menu.

MP3 output and download

Generated audio is produced as compact MP3 by default in many flows, which is ideal for sharing, embedding in presentations, or sending by email without huge file sizes. From your generation history you can download the files again later, so you do not need to regenerate the same clip if you still have credits logged against that item.

For developers, the REST API returns Base64-encoded audio in JSON responses, so you can decode to MP3 bytes on the server or client and save or stream as you prefer.

API and automation

The same TTS engine is exposed through authenticated API calls: send text, voice id, language and speed; receive duration and audio payload. That lets you batch newsletters, voice menus, or app notifications without using the web UI.

At a glance

  • Broad language coverage and multiple voices per language where supported
  • Adjustable speed for clarity and style
  • MP3 downloads from history plus API-friendly encoding
  • Credits scale with audio length — transparent rules in the pricing section

Trusted for production voice workloads

Inside the product — app screenshots, workflow, and reserved logo slots on the main site.

Product teams, agencies, and developers use WebVoice for TTS, STT, chat, and API-first integrations — from prototypes to customer-facing apps.

SaaS & product
Agencies
Education
Internal tools
50K+

Hours of audio synthesized & transcribed monthly (illustrative range)

30+

Neural voices and locales in the catalogue (varies by deployment)

REST

Same credit wallet for browser app and documented HTTP API

Figures are indicative and depend on traffic and configuration.

“We shipped read-aloud and STT in one sprint — the API matched what we tested in the UI.”

“Credits per feature make finance happy — we can forecast TTS vs chat separately.”

“Low-latency Groq routes for chat let us keep UX snappy without a separate vendor.”

Quotes represent typical feedback patterns; not attributed to specific customers.

Frequently asked questions

The catalogue depends on the active TTS backend (e.g. neural voices grouped by locale). Pick language and voice in the UI or pass voice id and language in the API.

Many flows output compact MP3 suitable for download and sharing; API responses can include Base64-encoded audio for programmatic use.

Billing is typically by audio duration in blocks (see the pricing page). Longer synthesis consumes more credits in a predictable way.

Yes, within the supported range in the product settings so announcements and tutorials sound natural.

Yes — authenticated REST calls use the same engines as the browser, so what you hear in the UI matches what you automate.

Ready to try WebVoice?

Get Started API documentation