Papercup dubs video into other languages using expressive AI voices that preserve the original speaker’s tone.
Papercup is an AI dubbing platform for media companies and creators who want to localize video libraries at scale. Its speech-to-speech translation generates voiceovers that retain the emotion and delivery of the original speaker, while human linguists review output for broadcast-grade quality. The service covers everything from documentary and news content to corporate training video, with turnaround measured in days rather than weeks.
The company’s research in expressive speech synthesis targets the emotional register of narration — excitement, gravity, warmth — not just intelligibility. Combined with human linguistic review, this makes Papercup output suitable for broadcast and streaming platforms where audiences notice stilted dubbing immediately.
Media brands value that Papercup is a managed partnership, not just software: linguists review output, and project teams handle the logistics of library-scale localization. That combination is what makes broadcast-quality dubbing practical at platform volume.
Papercup is a managed, quote-based service; pricing depends on content volume, languages, and turnaround requirements.
Broadcasters, media companies, and large YouTube creators expanding audiences into new language markets.
No. Papercup is a commercial managed service; samples and pilots are arranged with the team.
Enterprise integrations are available for customers embedding dubbing into their own localization workflows.
Self-serve tools like Rask automate dubbing for creators; Papercup adds managed human QA, which media publishers need for broadcast quality.
Language coverage spans major global languages and continues to expand; specifics are confirmed during project scoping.
The system preserves characteristics of the original speaker so the dubbed voice feels continuous with the source.
Documentary, factual, news, and corporate content are common production categories.
Contact the team to scope a sample project on your own content.
Yes, translated transcripts and subtitles accompany dubbed audio in localization projects.
Professional linguists review AI dubbing to maintain broadcast-grade quality standards.
The managed human review process makes output dependable enough for broadcast and streaming catalogs where automated dubbing alone would be risky.
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