Familiar is an AI dubbing platform that translates video content into 30 languages while preserving the original actor's voice, lip-sync, and emotional delivery. The platform's proprietary diffusion omni-model processes source footage in 99 languages, enabling simultaneous global launches with per-language review workflows and webhook-based delivery.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional dubbing workflows require separate voice actors, studios, and quality control per market, making multi-country launches slow and expensive. A 90-minute feature into ten markets costs $63,000 to $135,000 using human dubbing, and the slowest market's schedule delays the entire release.
Solution
Familiar provides an automated AI dubbing platform that translates video into 30 output languages while preserving the original actor's voice, tone, emotion, and lip-sync. The proprietary diffusion omni-model handles voice, lip movement, and scene audio in a single pass, even with background noise, multiple faces, or hands and microphones in front of speakers. One API request carries a source video of up to 10 GB and 24 hours into up to 29 target languages, with each language rendered independently upon reviewer approval. The platform includes per-language review steps, Do Not Translate lists, context briefs, and webhook events that track each language's status from submission to completion.
Target Audience
Primary customers are streaming platforms, film distributors, broadcasters, and content creators who need simultaneous multi-country video launches with consistent voice and lip-sync quality across 30 languages.
Features
- Proprietary diffusion omni-model that renders the speaker's own voice, lip-sync, and scene audio in one model across 30 languages
- One API request supports up to 29 target languages from a single source video up to 10 GB and 24 hours long
- Per-language review workflow with manual approval gates, allowing markets to publish independently as they clear
- Webhook events (dub.output_ready, dub.completed, dub.failed) with signed deliveries and 24-hour retry for each language
- Do Not Translate lists and one-line context briefs persist at the creator scope, surviving re-uploads and master changes
- Automatic source language detection or manual pinning, with translated titles and descriptions included per language
- Live dubbing support via SRT, RTMP, or WHIP feeds, pushing each language's stream to its own destination
- Quality tiers (Tier 1, 2, 3) for planning launch priorities across the 30 supported output languages