Maestra

Maestra is a browser-based AI platform that helps creators, businesses, educators, media teams, and event organizers make audio and video content accessible in multiple languages. It combines transcription, translation, subtitle creation, AI dubbing, voiceovers, and live interpretation in one workspace, reducing the need to move projects between separate tools.

Users can upload recorded audio or video and automatically generate transcripts with timestamps, punctuation, and speaker detection. The transcript can then be edited, summarized, translated, or converted into synchronized subtitles. Maestra supports subtitle importing, styling, burning captions into videos, and exporting files in common formats such as SRT and VTT.

For multilingual audio production, Maestra can generate translated voiceovers with realistic AI voices, assign different voices to individual speakers, and clone voices to preserve a speaker’s recognizable tone. Its voice-cloning workflow can create translated speech from an existing recording, while lip synchronization helps align dubbed audio with the visible speaker. Maestra currently promotes a library of more than 800 AI voices, with voice cloning available across supported languages.

The platform also supports real-time use cases. Maestra Live can produce live captions, translated subtitles, speech-to-speech translation, and dubbed audio for meetings, broadcasts, webinars, and events. Participants can join shareable multilingual sessions and listen in their chosen language. Integrations include Zoom, Microsoft Teams, OBS, vMix, YouTube, Slack, Zapier, webhooks, and browser-based capture tools.

Maestra supports more than 125 languages, although transcription, translation, dubbing, and voice availability vary by language. Pricing is divided across transcription, subtitles, dubbing, and real-time services, with pay-as-you-go credits and subscription plans offering different minute allowances, collaboration tools, API access, glossaries, and enterprise features