Turn any video into multilingual AI dubbing in minutes

STRA AI is a video localization platform designed to automate multilingual dubbing workflows. It integrates translation, speech synthesis, and audio-video synchronization into a single interface, eliminating the need to coordinate multiple tools for subtitle generation, voiceover production, and timing alignment. The platform is intended for media production teams, YouTube creators, and professional localization specialists who require efficient, scalable solutions for publishing video content across international markets.
Unlike traditional localization pipelines that involve separate steps for transcription, translation, voice recording, and editing, STRA AI consolidates these functions into one cohesive environment. This enables users to maintain consistency in tone, timing, and linguistic accuracy while reducing manual effort and turnaround time.
Users begin by uploading a source video file. STRA AI processes the audio to generate a transcript, then applies machine translation to produce subtitles in selected target languages. Next, it synthesizes speech using AI voice models configured for language, gender, and speaking style preferences. The system automatically aligns generated speech to the original video’s timing, preserving pauses, emphasis, and speaker transitions.
All components—subtitles, voice tracks, and video—are editable in a timeline-based editor. Users can adjust subtitle text, modify voice parameters, retime segments, replace individual utterances, or fine-tune audio levels. Final outputs include dubbed videos with embedded audio tracks, downloadable subtitle files (SRT, VTT), and separated voiceover audio.
STRA AI supports practical use cases such as accelerating YouTube channel expansion into non-English-speaking regions, localizing corporate training videos for global employees, and preparing documentary or educational content for international broadcasters. Its integrated workflow reduces dependency on external vendors, minimizes version control issues, and ensures consistent terminology and pronunciation across language variants. For teams managing high-volume content, the platform provides reproducible localization processes suitable for recurring publishing schedules.