Keep company terminology exact
Internal tool names, roles and policy terms are editable in every translated block. Review them before export and regenerate only the lines you correct.
CH 02
HINDI DUB
Use the remote to change the dub. Each channel is the same stand-up set.
AI dubbing for corporate training translates onboarding, compliance and training videos into the Indian languages your teams work in, keeping the trainer's voice and your company's terminology.
First-week videos for new joiners across regions. The trainer's voice and your company's terminology carry into each language edition.
Content where each term has a precise meaning.
How-to videos for sales, service and operations teams.
Town halls and addresses in the leader's own voice.
Follow one video through upload, dubbing, transcript review, line edits and export.
Training content is read by people who will act on it. A policy term translated loosely becomes a process followed wrongly, so every edition has to be checked against the company's own vocabulary.
Internal tool names, roles and policy terms are editable in every translated block. Review them before export and regenerate only the lines you correct.
When a limit or a process changes, edit that line and regenerate its block. The module does not need a new recording or a new dub.
Set the speaker count for panel sessions and role-plays. Each voice is separated and cloned on its own.
Keep policy language exact across every region your teams work in.
Correct internal tool names, role titles and policy terms in each block.
Re-voice a changed policy line without re-dubbing the module.
Keep the trainer's or leader's own voice in every language.
Separate trainers, panellists and role-play actors.
Use Formal for compliance modules and Auto for everyday training.
Request an SRT per language for your learning management system.
Balance narration against demo audio and background sound.
Dub a training library from your content pipeline, one job per module.
Every dub goes through the same four steps in the Sarvam workspace.
Drop a video or audio file
MP4, MOV, MP3 or WAV
165.2 MB · 5:16
Every loan file needs a KYC check first.
हर लोन फ़ाइल में पहले KYC जाँच ज़रूरी है।
Log it in the Pragati portal the same day.
उसे उसी दिन Pragati पोर्टल में दर्ज करें।
Escalate anything above five lakh to your branch head.
पाँच लाख से ज़्यादा के मामले ब्रांच हेड को भेजें।
Connect dubbing to your learning platform. Each module becomes a job that returns every regional edition, with SRT captions for the LMS.
import os from pathlib import Path from sarvamai import SarvamAI client = SarvamAI( api_subscription_key=os.environ["SARVAM_API_KEY"] ) media = Path("onboarding-module-3.mp4") job = client.dubbing.create( source_language_code="en-IN", target_language_codes=["hi-IN", "mr-IN", "ta-IN", "kn-IN"], export_options=["video", "audio", "srt"], voice_cloning=True, num_speakers=2, job_name="onboarding-module-3", ) client.dubbing.upload(job.data.upload_url, media) client.dubbing.start(job_id=job.data.job_id)
Source files and voice data are encrypted in transit. Sarvam does not use uploaded content to train its models. Sarvam maintains ISO 27001:2022 certification and a SOC 2 Type II report.
Yes. Every translated line is editable before export. Correct a name, product term or phrase in its timestamped block, then regenerate only that block.
Yes. Open the dub, edit the translated text of the line that changed and regenerate that block. You do not need to record or dub the whole video again.
Yes. Set the number of speakers when you create the dub, and Sarvam separates each voice before translating. Round up if you are unsure, because two speakers merged into one slot blend together in the output. Setup fields lock once the dub is created.
No. Source files and voice data are encrypted in transit, and Sarvam does not use uploaded content to train its models.
The workspace accepts files up to 2 GB. Through the API, the Starter plan allows 2 GB and one hour per file, Pro allows 3 GB and one hour, and Business allows 4 GB and four hours.
Try AI dubbing Dub one module into the languages your branches work in, then keep it current as policy changes.
Try AI dubbing
Dub one module into the languages your branches work in, then keep it current as policy changes.