ElevenLabs

ElevenLabs

Voice cloning & TTS app

2 case studies
3 specialists
4 specialists
Audio Application

What it's used for

Used for high-quality text-to-speech, voice cloning, and audio dubbing. Content creators, game developers, and businesses use it to generate natural-sounding voiceovers in 29+ languages, clone voices from short audio samples for personalized content, and dub videos into other languages while preserving the original speaker's voice.

Getting started

Sign up free at elevenlabs.io. The free tier provides limited monthly characters. Plans start at $5/mo (Starter) scaling up by usage. Clone a voice by uploading a short audio sample, or choose from a library of pre-made voices. Generate speech from the web app or via the API.

Case studies

Real ElevenLabs projects

97% cost savings Enterprise Technology

50-Language Campaign — $400k Production Cost Avoided

Global B2B technology company

Challenge

A tech company needed product explainer videos in 50 languages for a global launch in 5 days. Traditional production (localized actors, studios, post-production) was quoted at $400k and 8 weeks.

Solution

Recorded one English spokesperson session; used ElevenLabs Voice Cloning to create 50 language variants with lip-sync via HeyGen. ElevenLabs' multilingual v2 model preserved vocal character and emotion across all 50 outputs.

Results

50-language campaign delivered in 5 days for $12k total production cost — a 97% savings. Post-launch viewer surveys rated the non-English versions as 'indistinguishable from native speaker' in 47 of 50 languages.

94% voice match in blind tests Media / Publishing

500-Episode Podcast — Author Voice Preserved

Non-fiction author, 50k subscriber podcast

Challenge

An author with a 50k-subscriber podcast developed a vocal condition preventing recording. They had 500 episodes worth of written scripts but no way to produce audio content.

Solution

Cloned the author's voice using 4 hours of clean audio from existing episodes. ElevenLabs Professional Voice Cloning with custom stability and clarity settings matched the author's characteristic cadence and warmth.

Results

500 episodes produced over 3 months. Blind listener tests showed 94% of subscribers could not distinguish the AI voice from the author's real recordings. Podcast grew from 50k to 78k subscribers during the period.

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