Marketing ops · Production
ElevenLabs partners with Meta to power expressive, scalable audio across Instagram and Horizon
The problem
Meta needed natural and diverse audio at scale to serve billions of users across Instagram, Horizon, and other platforms in multiple languages and cultural contexts.
Workflow diagram · grounded in source
1
Audio generation request
trigger
“enables global creators, businesses, and enterprises to build with voice, music, and sound at scale”
2
AI model adaptation
ai_action
“Text to Speech, Dubbing and Music models adapt to every tone, accent, and culture”
3
Localized audio delivery
output
“From dubbing Reels in local languages, to generating music and character voices in Horizon”
Reported outcome
ElevenLabs enables Meta to dub Reels in local languages and generate music and character voices in Horizon, with access to 11,000+ voices across 70+ languages adapting to every tone, accent, and culture.
Reported metrics
Voice library size11,000+ voices
Language coverage70+ languages
User reachbillions of users
Reported stack
ElevenLabsText to SpeechDubbingMusicInstagramHorizon
Frequently asked questions
What did this team achieve with this AI workflow?
ElevenLabs enables Meta to dub Reels in local languages and generate music and character voices in Horizon, with access to 11,000+ voices across 70+ languages adapting to every tone, accent, and culture.
What tools did this team use?
ElevenLabs, Text to Speech, Dubbing, Music, Instagram, Horizon.
What results were reported?
Voice library size: 11,000+ voices; Language coverage: 70+ languages; User reach: billions of users (source-reported, not independently verified).
How is this marketing ops AI workflow structured?
Audio generation request → AI model adaptation → Localized audio delivery.