CAMB.AI

Localize recorded media with CAMB.AI

CAMB.AI provides AI dubbing, speech generation and localization tools. Its Studio serves people preparing translated audio or video, while its APIs let developers incorporate speech and language operations into another application. The broader product family also includes live dubbing, captions, image translation and voice creation.

Suitable users include media teams adapting interviews, educators localizing recorded lessons and developers building multilingual audio workflows. The useful starting point is an approved source recording and a defined target audience. Producing another language version involves translation choices, speaker handling and timing, rather than simply exchanging one audio file for another.

Agentic dubbing and speech controls

The Agentic Dubbing workflow accepts video or audio and a target-language request. CAMB.AI describes an agent that coordinates transcription, translation and voicing, with an editor for further changes. You can refine dialogue, translations, speakers and voices, including requests to adjust a line's delivery or shorten wording to fit the scene.

The MARS speech-model family serves different generation needs. Its model guide distinguishes Flash for responsiveness, Pro for expressive voice transfer, Instruct for delivery control and Nano for a smaller deployment footprint. Newer beta variants are identified separately. Choose according to the task and validate the selected variant rather than assuming every model has identical language or voice behavior.

For an automated pipeline, the dubbing tutorial describes submitting a job, checking its status and retrieving the resulting media. It is asynchronous, so an application must handle processing and failure states. The API requires an account key; Studio access and a working developer integration are separate setup tasks.

Example: adapt a two-speaker product lesson

Start with a short lesson in which a presenter explains a product and another person asks questions. Decide which product names should stay unchanged and give the localized version a clear audience, such as new users in Spain. Upload the permitted recording and choose the target language.

Review the transcript before polishing the translation, especially names, numbers and speaker changes. Ask a fluent reviewer to inspect the translated meaning and whether the level of formality fits the audience. Then listen to each speaker's output and check that the exchange remains understandable where the original contains interruptions or quick replies.

If a translated sentence overruns a visible action, revise the wording in context rather than merely speeding it up. Review the final video with its captions, then keep the approved wording and source version together. For repeated jobs through the API, record job identifiers and distinguish completed outputs from failed or unfinished runs before handing files to a publishing process.

Language, voice and recording limits

Consult the language-support documentation for the selected model and operation. A platform-wide language count does not establish equal support for every voice, accent, live mode or beta model. Background noise, overlapping speech and unusual names also deserve deliberate review in the resulting transcript and audio.

Use recordings and voice references you are authorized to process. Voice-transfer functionality does not establish permission to imitate a speaker for another purpose. Live broadcasting is a distinct operational use case; do not infer its latency, capacity or commercial terms from a short prerecorded Studio project.

Free entry, credits and paid access

CAMB.AI's pricing page lists free entry and paid plans for creators, teams and enterprise use. Its credit guide explains adding capacity through the account. Check file size, duration, voice, character and usage limits for the specific operation before starting a batch; the same allowance should not be assumed across dubbing, speech generation and transcription.