Poor transcription forced manual checks on every file. Accurate speech AI now cuts human correction effort by 76%.
A media localization platform serving clients like Netflix and YouTube provides AI-enabled dubbing and subtitling services across more than 100 languages.
Existing cloud providers delivered poor accuracy for non-English audio, with punctuation and capitalization errors cascading through the company's...
“We found that [other providers] offered insufficient accuracy and demonstrated poor handling of punctuation and capitalization.”
AI-powered localization platform for video dubbing, subtitling, and captions.
AI models for speech-to-text transcription and audio intelligence.
Related implementations across industries and use cases
Manual dubbing held back global reach. AI now automates voice and frame-level lip-sync in 30 languages, removing technical barriers.
Old tools confused Hebrew for Arabic and misaligned text. The model detects language shifts and aligns transcripts to video cuts.
Robotic output turned "Mr. Green" into "Señor Verde." Context-aware AI now translates 55M daily characters without human oversight.
Manual review slowed a viral Vogue contest. AI took over to moderate 56,000 entries, saving two weeks of editorial effort.
Sifting through 1,200 clips manually took hours. AI search now locates shots instantly, cutting production timelines by 30%.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.