Voice Data Behind the World’s Best AI Companies

Designed, directed, and delivered by professional talent and everyday speakers. Custom or pre-built across 110+ languages and 185 countries, and fully consented for AI model training.

Voice actor recording at a studio microphone, shown through an audio waveform bar pattern in blue and orange

Trusted by teams building the the world’s leading AI technology

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Custom voice data, built for your model

You know what you want your model to hear. We design, direct, and deliver it—scoped to your specs for language, emotion, style, scripted, or conversational. All backed by a pre-vetted global network with live-directed recording sessions, rigorous QA, and documented talent consent.


How we produce expressive human speech datasets, custom for your model

We design, direct, and deliver high-quality voice datasets to your specs, partnering with you from brief to final delivery.

  • 1

    Our pre-vetted global network is ready to work

    We source, contract, and record with our pre-vetted global network, managing the entire talent lifecycle in the process. Our proprietary talent database lets us search with precision for specific demographics, domain expertise, languages, and audio quality.

  • 2

    Data governance and licensing, built-in

    Every dataset we produce comes with full traceability—every recording linked back to a named consenting contributor, a signed agreement, and clear usage rights, protecting your training data from legal exposure.

  • 3

    High-quality data capture at scale

    Our proprietary Recording Studio includes technical checks and live session direction to ensure audio and performance quality. We securely deliver labelled training data, metadata, and transcripts, with QA applied throughout the process.

18k hours of custom conversational Voice Data across 9 languages

A Fortune 10 technology company needed a large, diverse dataset of conversational audio to train an AI model for more natural, human-like speech. Voices delivered 18,000 hours of scripted and spontaneous conversation across 9 languages, sourced from our global talent network, at a pace of 1,000 hours per week.

Pre-built voice datasets, ready when you are.

For projects that don’t need a custom build, our pre-built datasets offer a fast path to deployment without compromising on quality or compliance.

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    Character Voice Datasets

    The only custom-curated dataset featuring 800+ hours and 450+ unique character performances across Australian, British, North American, and 
New Zealand accents.

    Listen to our Character Datasets
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     Performance Collection

    1,723 hours of directed voice data across 56 emotional states. Fully consented, timestamp-aligned, and JSON-delivered with emotion tags. Built for expressive TTS, affective AI, and conversational model training.

    Request Samples
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    Expressive Voice Dataset

    1,000 hours of emotion-rich Voice Data across 8 languages and 43 emotional states—sourced from 150+ professional voice artists, fully consented, and delivered in JSON with emotion and tone tags.

    Request Samples

High-quality voice datasets tailored to your
AI model needs.

20+

years experience in capturing, directing, and delivering the right voice for every project

2M+

audio files delivered through our pipelines

7/10

of the world’s top AI labs
use Voices

Powered by professional talent and everyday speakers. Legally defensible. Built for your model.

Audio engineer wearing headphones facing a professional recording studio console, shown in blue and orange duotone

Voices’ Recording Studio: built to capture studio-grade audio

Our proprietary, web-based Recording Studio is built to capture high-quality voices at scale. Real-time technical checks and live session direction ensure recording delivers the audio you want your model to hear.

Off-the-shelf and custom datasets
for any use case

Text-to-speech • speech recognition • conversational AI • benchmarking and evaluation

Single and multi-speaker • scripted or unscripted • languages and accents • industry-specific participants and subject matter experts

Woman with a headset next to voice data service labels: datasets, recording, and talent sourcing
Split image of a voice contributor recording at a microphone on the left and dressed as a wizard character on the right

Voice talent: help shape the future of AI

Help shape the future of AI voice with recordings that improve how technology listens, understands, and responds. Contribute to projects with clear usage transparency, fair compensation, and recording tools that make it easy to participate.

Speak to a Voice Data expert

Tell us about your project and our team will follow up to discuss your voice data needs. Interested in hearing samples of our Voice Data? We’d be happy to help.

Frequently Asked Questions

Voice data is recorded human speech used to train and improve AI models—powering speech recognition, virtual assistants, conversational AI, accessibility tools, and more. It helps machines better understand and respond to human speech across languages and speaking styles.

Open-source datasets have serious limitations: inconsistent recording environments, variable audio quality, and unclear provenance and licensing. Voices datasets are recorded by professional contributors in studio-grade environments, with script direction, rigorous QA, and consistent metadata at every stage—fully licensed and consented for AI model training.

Yes. Every custom dataset is scoped around your exact requirements before recording begins—whether you’re building for ASR, TTS, or conversational AI. Custom scripts, emotion and tone tagging, and metadata structured to your technical specs are all included.

Every recording is traceable to a named, consenting contributor with full documentation of how their voice is used and what rights they retain. Every dataset is fully consented, legally compliant, and traceable from speaker to model—giving your legal and compliance teams everything they need as data governance regulation tightens.

Never. Recordings shared for Voice Over jobs are only ever used for that purpose. Voice Data for AI is sourced separately through dedicated, consented data collection—with clear separation between Voice Over work and Voice Data to ensure full transparency.

Every dataset goes through structured quality assurance before delivery—covering audio quality checks, transcript and labeling reviews, and validation against your technical specifications. Nothing is signed off until it meets our standards.