Reaching a new market meant standing up another dubbing team. One API now dubs into 30+ languages; creators edit tracks before it goes live.
A video platform serving creators, enterprises, and streaming businesses for hosting, managing, and distributing video content, with a public commitment to keeping creators in control of how their work is used by AI systems.
Reaching audiences in multiple languages required standing up dedicated dubbing teams for each target market, making global distribution impractical...
“Since we brought ElevenLabs dubbing into Vimeo, our customers have dubbed more than 1.4 million minutes of video into dozens of languages. For most of them, that global reach simply was not possible before. Now, a single video can speak to audiences everywhere. Some of our customers now dub one video into more than 30 languages at once.”
Video hosting, sharing, and editing platform for creators and enterprise businesses.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Vimeo's Video dubbing is part of this use case:
Related implementations across industries and use cases
Most games shipped silently—adding audio meant leaving the platform to license tracks. Now every game ships with an AI-generated soundtrack.
Standard text-to-speech made AI actors sound robotic. Now, 5,000 emotive voices allow brands to generate authentic ads in 30 languages.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Manual translation failed at 2.6M designs. Now, AI localizes listings after 100 views, scaling to 7 languages without adding headcount.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Reaching a new market meant standing up another dubbing team. One API now dubs into 30+ languages; creators edit tracks before it goes live.
A video platform serving creators, enterprises, and streaming businesses for hosting, managing, and distributing video content, with a public commitment to keeping creators in control of how their work is used by AI systems.
Reaching audiences in multiple languages required standing up dedicated dubbing teams for each target market, making global distribution impractical...
“Since we brought ElevenLabs dubbing into Vimeo, our customers have dubbed more than 1.4 million minutes of video into dozens of languages. For most of them, that global reach simply was not possible before. Now, a single video can speak to audiences everywhere. Some of our customers now dub one video into more than 30 languages at once.”
Video hosting, sharing, and editing platform for creators and enterprise businesses.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Vimeo's Video dubbing is part of this use case:
Related implementations across industries and use cases
Most games shipped silently—adding audio meant leaving the platform to license tracks. Now every game ships with an AI-generated soundtrack.
Standard text-to-speech made AI actors sound robotic. Now, 5,000 emotive voices allow brands to generate authentic ads in 30 languages.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Manual translation failed at 2.6M designs. Now, AI localizes listings after 100 views, scaling to 7 languages without adding headcount.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.