Text To Speech APIs

Explore fal's Collection Of The Best Text-to-Speech APIs

fal is the best developer-friendly, one-stop shop for AI text-to-speech models. Every text-to-speech model on fal runs through the same SDK pattern, so once you've integrated one, switching between Index TTS 2.0, MiniMax Speech-2.8 HD, or ElevenLabs Turbo v2.5 is a one-line endpoint change.

Which models work for real-time voice agents?

For low-latency use cases where every millisecond shapes the user experience, the Turbo-class models trade some quality headroom for streaming performance.

• ElevenLabs Turbo v2.5 supports native streaming and ships with 32-language support, which fits multilingual voice agents.
• MiniMax Speech-2.8 Turbo and Speech-02 Turbo prioritize speed over the HD variants, useful for live customer service flows and IVR systems.
• xAI TTS v1 is another option, built for expressive responses in real-time agent contexts.

Pick the one whose latency profile and language coverage fit your agent rather than defaulting to a single choice.

Which models are suited for audiobooks, podcasts, and long-form narration?

Long-form content rewards models tuned for prosody and multi-speaker output over raw inference speed.

• VibeVoice 7B from Microsoft is built for extended multi-voice speech, with podcast and audiobook production as primary use cases.
• MiniMax Speech-2.8 HD and Speech-02 HD handle texts up to 200,000 characters with emotion control across over 300 pre-built voices, which fits chapter-length narration.
• Maya1 from Maya Research focuses on expressive voice generation with precise voice design, useful when scripts need distinct character voices across scenes.

For dialogue-heavy fiction with two or more speakers, models with native multi-speaker support reduce the post-production work of stitching tracks together.

Can I clone voices or design custom voices?

Yes, fal hosts several models built for voice cloning and custom voice creation.

• MiniMax Voice Clone generates speech from a sample audio reference, useful for replicating a specific speaker for branded content or accessibility tooling.
• Lux TTS produces 48kHz speech from text plus a reference audio, distilled to four inference steps to keep cloning latency low.
• Qwen3-TTS Voice Design lets you create a voice from scratch, then pair it with Qwen3-TTS Clone Voice to use that custom voice across projects.
• Chatterbox from Resemble AI accepts audio reference inputs, with expressiveness controls aimed at games and AI agent workflows.

Pricing

fal uses pay-as-you-go pricing with no subscriptions or minimums. Most TTS models price per 1,000 characters, with the range spanning roughly 5x depending on model tier.

A few models price per generated audio second instead: Index TTS 2.0 runs at $0.002 per second.

As a worked example, a 10,000-character script (roughly 10,12 minutes of spoken audio) costs:

• $0.25 on Chatterbox
• $0.50 on ElevenLabs Turbo v2.5
• $1.00 on MiniMax Speech-02 HD

You only pay for what you generate, which lets you swap between models or test options without renegotiating contracts.

Quick Start

Install the client

bash
npm install --save @fal-ai/client

Set your API key

bash
export FAL_KEY="YOUR_API_KEY"

Call a model

js
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/minimax/speech-02-hd", {
  input: { text: "Hello world! This is a test." }
});

The same auth and billing logic carry across every TTS endpoint, so you can compare voices side by side without rewriting integration code.

For long generations, submit to the queue and rely on webhooks instead of blocking on the result.