AI localization and dubbing. One editor. All languages.
Transcribe, translate, caption, subtitle, and dub your video and audio in 50+ languages

















Most AI dubbing tools give you a file. We give you control — with professional workflows built for editing, collaboration, and scale.
Not "upload and pray."
Advanced transcript and translation editing
Fine-grained control where it matters: SRT import, segments operations, audio waveform editing, and automatic speaker detection. Every tool you need to get the output right before it ships.
Hyper-realistic voice matching
Replicate the original speaker's voice in a new language — or replace it with an authentic native voice.
Enterprise-ready,
full potential unlocked.
API integration. Plug Speechlab into your media asset management, translation management, or content pipeline.
Bulk processing. Process and track hundreds of files at once across languages. Track progress from a single dashboard.
White-glove human-in-the-loop review. AI gets you 90% there. Human linguists get you to ship-ready quality.
How AI localization and dubbing works with Speechlab
Every capability works on its own — or flows into the next. Start anywhere. Stop anywhere. Pick up where you left off. All of it works on spoken content: video, audio, podcasts, audiobooks.
Upload. Drag and drop a file, paste a YouTube link, or bulk-import your content, for video, audio, podcasts, audiobooks.
Transcribe. ASR produces a diarized transcript with timestamps and speaker labels. Edit inline.
Caption. Generate captions from the transcription. Speaker-labeled, editable, and accessibility-ready.
Translate. Select a target language. AI translates the spoken content segment by segment. Edit every line.
Subtitle. Create SRT subtitles from the translation. Frame-accurate, validated, broadcast-ready.
Generate dub. Assign a voice per speaker then render the dubbed audio. Preview in the editor alongside the source.
Export. Dubbed video, dubbed audio, SRT subtitles, translation text — whatever the deliverable needs.
Built for teams that care what the output sounds like


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