Selected work

Illustrative projects from the booth

The scenarios below are anonymised composites — they describe the kind of generative-AI voiceover work we take on for Canadian brands, not fabricated client logos or guaranteed outcomes. Each story covers the brief, our voice synthesis and direction approach, and how consent, usage rights, and human review were handled.

Client listening session in the VoiceSynth Toronto voice studio

Illustrative · E-learning

A Canadian e-learning platform's multi-language narration

The brief landed with twelve modules, four languages, and a hard launch date tied to a provincial curriculum update. The client's earlier narration felt rushed — correct pronunciation but flat prosody that lost teenage listeners by minute three.

We cast licensed neural voices per locale, then ran directed text-to-speech sessions emphasizing warmth and pause structure. Speech-to-speech passes tightened emphasis on assessment instructions without sounding robotic. Each language received its own revision round with bilingual reviewers. Consent records covered all custom pronunciation guides the client supplied.

Deliverables included mastered WAV files, broadcast-safe loudness, and a usage-rights schedule covering LMS distribution for three years. Human-in-the-loop review caught synthesis artefacts in two modules before release. Total CAD project scope ran mid-five figures across languages — quoted upfront, not metered like a SaaS tool.

Waveform display during generative voice synthesis review

Illustrative · Product

An Ontario app's in-product voice

A fintech app needed consistent voice prompts across onboarding, error states, and accessibility read-outs — hundreds of short lines updated quarterly. Hiring a single voice actor per release cycle was blowing the content budget.

We designed a brand voice profile from a consented talent source the client had previously used in radio. Voice design sessions locked register and pacing rules. Generative-AI speech synthesis produced line batches from structured spreadsheets; our directors flagged lines where synthesis stumbled on acronyms or dollar amounts.

Audio post-production normalized levels across the app footprint. The client received documented licensing for in-product use in Canada and the US, plus a retainer for quarterly updates. We declined a side request to mimic a competitor's spokesperson — impersonation is outside our studio policy.

Illustrative · Campaign

A Toronto brand's regional ad voiceover set

A retail brand wanted fifteen-, thirty-, and sixty-second cuts for digital and cinema, with a voice that felt local without caricature. They had burned time on generic library reads that sounded like every other flyer spot on the feed.

Casting focused on licensed voices with mid-range warmth and controlled energy. Voice direction pushed conversational delivery — slight smile, not announcer bark. Dubbing and localization added Canadian French variants with matched timing to picture locks the agency supplied.

Mixing and mastering met cinema loudness specs; digital versions were peak-limited for platform auto-normalization. Usage rights covered one-year broadcast and digital in Ontario and Quebec, with extension options documented. Three revision rounds refined the call-to-action reads. Outcomes varied by placement — we were explicit that performance metrics were the client's measurement, not ours to promise.

About these samples

VoiceSynth provides generative-AI voice services — speech synthesis, voice design, dubbing, localization, and audio post-production — produced with human direction for client organizations. Audio is created using generative AI tools and checked by people at our Toronto studio; outputs can contain errors or artefacts and always require review. We only use voices that are licensed or provided with explicit written consent. We do not clone real people's voices without consent and do not create impersonation or fraudulent audio. Usage rights and licensing are clarified per deliverable. These stories illustrate our craft — they are not promises of specific results.

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