01
Source ingest
Owned media onlyVideo, voice consent, and creator metadata get locked before any model work starts.
Built for Indian creators, not generic dubbing demos
Dub into Indian languages with your own voice, not a robot.
DubKaro gives Hindi, Tamil, Telugu and Bengali creators a live path to multilingual reach. Upload once, keep your tone, and publish without rebuilding your workflow.
Built on Indian-language model infrastructure
Voice profile consent tracked from day one
No fake demo outputs or fabricated traction
500K+
Target creators
300M+
Potential new audience
₹299/mo
Paid plan starts
Inside the creator setupOwned assets only
Creator session prep
Multi-mic routing, room tone discipline, and creator-owned recordings staged before the dubbing run starts.
Consent tracked before cloning starts and creator tone stays visible through the workflow.
Voice sample capture happens with a real creator in the loop, not a synthetic shortcut.
Pipeline previewNo fake metrics
Upload source videoowned asset only
Transcribe and segmentIndic pipeline
Preserve tone and slangcreator-aware
Render dubbed outputpreview and download
Infra stack
Supabase Auth + PostgresAWS S3 MumbaiRunPod GPU endpointsUpstash Redis queueGoogle OAuth
AI control room
The dubbing engine should look inspectable, not magical.
Every stage exposes a real system signal: source integrity, transcript segmentation, localization intent, and voice-render confidence.
Neural dubbing graph
02
Transcription graph
Segment awareSpeech chunks, pauses, and slang markers stay visible instead of disappearing into a black box.
03
Localization layer
Tone preservedTarget scripts adapt for creator cadence, not textbook literalism.
04
Voice render + QC
Review firstVoiceprint checks and sync scoring decide whether the dub is ready to ship.
Voiceprint lock
Cadence match 96%
HITATEBNENMR
Creator note routing
Bhai, clip ka tone flat nahi hona chahiye.
Hindi casual register
Machi, indha line la energy drop aagakudadhu.
Tamil creator tone
Human review stays in the loop
Editors can inspect timing, subtitle structure, and voice-output confidence before a dub is treated as finished.
Signal analysis catches drift before the audience does.
Review signals
Editors inspect timing, subtitle structure, and output confidence before a dub is treated as finished.
Signal analysis catches drift while the dub is still recoverable, not after publishing.
Regional tone notes stay attached to the localization pass instead of disappearing inside generic translation.
Why creators switch
Built around the real dubbing workflow, not a demo veneer.
The product presentation should feel like a credible operating system for creators. Fewer containers, more clarity, and stronger editorial rhythm make that trust easier to read.
Production-ready tooling
Audio cleanup, stems, and voice checks stay grounded in real production tooling instead of a theatrical AI shell.
Creator voice profiles
Capture a consented voice sample once, validate quality, and reuse it across supported languages.
Stage-aware dubbing jobs
Track transcription, translation, synthesis, and sync status instead of waiting blindly for a finished export.
India-first language pipeline
Keep slang, code-switching, and creator cadence visible in the pipeline instead of flattening everything into textbook translation.
Investor-visible AI demo
Challenge the engine publicly with real prompts before signing up, without a login wall or fake outputs.
How it works
One upload. Multiple languages. Clear stage visibility.
The workflow is opinionated about creator trust: every stage is visible, every failure is surfaced, and every output maps back to a real uploaded asset.
Capture setup and continuity stay predictable as one upload moves through multiple language passes.
01
Upload your source video and declare source language.
Source verified02
Pick target languages and attach a ready voice profile.
Voice profile mapped03
The queue runs STT, translation, synthesis, and sync in sequence.
Queue orchestrated04
Preview outputs, download assets, and move to publishing once quality is approved.
Review and exportPricing
India-native pricing that respects creator economics.
Price around source minutes, not fantasy output volume. Start small, validate the quality, then scale language coverage once multilingual publishing becomes a habit.
Free
₹0
Source minutes / month5
Language access1 language
Included outputUp to 5 dubbed min
Validate one owned clip before you commit
Starter
₹299
Source minutes / month20
Language access2 languages
Included outputUp to 40 dubbed min
For first multilingual publishing experiments
Creator
Recommended₹999
Source minutes / month60
Language access5 languages
Included outputUp to 300 dubbed min
Built for consistent monthly releases
Studio
₹2,499
Source minutes / month180
Language access5 languages
Included outputUp to 900 dubbed min
For teams publishing every week
Extra language outputs multiply inference cost. Higher language counts, large back catalogs, and agency workflows should be quoted separately instead of hidden inside cheap flat plans.
FAQ
Built to answer the trust questions upfront.
Why would I pay if YouTube auto-dub exists?
Because creators care about tone retention and audience trust. Auto-dub proves demand exists. DubKaro is for sounding human enough to keep viewers.
Do you use fake data to make the product look full?
No. Empty states stay empty, demo outputs are generated live, and real project history only appears after actual uploads.
Can I try the AI without signing up?
Yes. The public demo lets anyone test the translation and tone-preservation layer before creating an account.
Early onboarding
The first onboarding wave stays hands-on so creator setup, voice quality, and workflow fit can all be reviewed properly.
Waitlist
Join before creator onboarding opens wider.
If you want the first real onboarding wave, leave your details here. This stores a genuine waitlist entry in the database when configured.