CAMB.AI

CAMB.AI is an AI transcriber tool. CAMB.AI's subtitle generator, part of DubStudio, transcribes video or audio, labels speakers and outputs timed subtitles in 150+ languages. It exports SRT, VTT and ASS files and suits studios, publishers and broadcasters.

CAMB.AI's subtitle and caption feature lives inside DubStudio, its dubbing workspace. A user uploads a video or audio file, or pastes a YouTube link, and the platform transcribes the speech, separates the individual speakers and produces timed subtitle files in more than 150 languages. Transcription, translation and timing happen as one pipeline rather than as separate tools chained together by hand. The audience is mostly professional media teams. The page names entertainment studios and distributors, news organizations and digital publishers, and sports broadcasters as the core buyers, with use cases that include film and series subtitling, short-form social clips, e-learning material and accessibility compliance. For compliance work, closed captions carry speaker identification and non-speech audio descriptions, which the vendor ties to ADA, Section 508, WCAG 2.1 and European Accessibility Act requirements. In practice the workflow has four stages: upload the source, let the system transcribe and diarize, pick target languages, then adjust styling and export. Styling covers font, size, color, position and background so the output can follow brand rules or a platform's requirements. Files export as SRT, VTT, ASS and other standard formats suited to YouTube, streaming services and broadcast delivery, and captions can also be burned in for social posts. Subtitles can be generated in parallel with dubbed audio and timed to the dubbed track, or produced on their own as standalone caption files. Among alternatives, it sits between simple auto-caption apps aimed at individual creators and heavyweight localization vendors. Its distinguishing angle is the link to AI dubbing: a team already translating audio can get matching subtitles from the same project. Those who only need quick English captions for a single clip may find a narrower tool simpler, while teams localizing large libraries into many languages are the natural fit.