If you are trying to answer how much does ai video dubbing cost before you commit to a monthly budget, the honest answer for 2026 is a range, not a single number. Across most AI platforms, a finished dubbed minute runs roughly $1 to $10, while traditional studio dubbing still commands about $50 to $200 per minute for human actors, engineering, and studio time (USD, September 2026). Our own bundled plans push the effective included rate down to roughly $0.25 to $0.40 per minute, with extra minutes as low as $0.25 at higher tiers. All figures here are in USD and reflect publicly listed prices as of September 2026, so treat them as a snapshot rather than a permanent quote.
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What actually drives the cost of AI dubbing
The per-minute number you eventually pay is not arbitrary. A few consistent drivers move it up or down across the whole market:
- Finished minutes of content you produce each month.
- Number of target languages per source video, since each fully dubbed language version is its own workload.
- Whether you need plain audio dubbing or more advanced output such as tighter timing, added media, or post-editing.
- Voice choice: generic stock voices versus higher-quality or brand-matched voices via cloning.
- Turnaround speed and how much regeneration flexibility you want.
- Deployment model: self-serve web app, API, or a managed enterprise arrangement.
Traditional studio dubbing sits at roughly $50 to $200 per minute largely because it pays humans at every stage. Modern AI platforms compress that to about $1 to $10 per minute, usually through subscriptions or pay-per-use. We land below the top of that AI band by selling minutes in bulk through a shared credit system rather than charging a premium per individual job.
How our credit-based pricing works
We price with credits shared across our AI creation tools, including AI Dubbing, Text to Speech, Text to Image, Image to Video, Speech to Text, and Speech Separator. That pooling is the reason a simple "price divided by dubbing minutes" calculation usually overstates your real cost.
The mechanics are straightforward:
- 1,000 credits is about 1 minute of AI Dubbing or Text to Speech, so 2,000 credits covers roughly 2 minutes.
- Credits are pooled across supported tools, so the same balance can fund dubbing, TTS, transcription, and visual tasks.
- Unused credits roll over to the next month on paid plans.
- You can buy extra credits at decreasing per-minute rates as you move up tiers.
- AI dubbing works into 33 target languages with voice cloning included in the workflow.
Our Free plan is a one-time allowance built for testing. It includes 2,000 credits total, about 2 minutes of AI Dubbing or TTS, and opens the full tool set: AI Dubbing, Text to Speech, Text to Image, Image to Video, Speech to Text, and Speech Separator. There are no extra credit purchases on the free tier, but 2 minutes is enough to fully dub a short clip, audition voices, and watch the pipeline behave before you spend anything.
Paid plans and effective per-minute costs
Paid tiers are structured around monthly minutes of dubbing and TTS. Higher plans lower both the bundled cost per included minute and the rate you pay for extra minutes. The table below maps our published prices and credit allowances (USD, monthly billing, September 2026).
| Plan | Monthly price | Included credits | Approx. included minutes | Effective cost per included minute* |
|---|---|---|---|---|
| Starter | $19.90 | 50,000 | ~50 min | ~$0.40/min |
| Standard | $49.90 | 150,000 | ~150 min | ~$0.33/min |
| Pro | $99.90 | 350,000 | ~350 min | ~$0.29/min |
| Enterprise | $249.90 | 1,000,000 | ~1,000 min | ~$0.25/min |
*Effective cost per included minute is an estimate calculated as plan price divided by included minutes, using our listed prices and the 1,000-credits-per-minute ratio. Actual per-minute cost shifts if you also spend credits on TTS, transcription, or visuals.
Extra minutes are billed as extra credits at a declining rate: about $1.20/min on Starter, $1.00/min on Standard, $0.50/min on Pro, and $0.25/min on Enterprise (each roughly 1,000 extra credits per extra minute). Every paid tier includes the full tool set, rolls over unused credits month to month, and allows free regeneration of AI Dubbing projects, so re-trying a line with a different voice or style does not consume new credits.
Annual billing lowers the effective monthly price further. The Starter plan drops to around $16.66/month on annual billing, roughly a 17% discount. Under that annual rate, the estimated cost of the included 50 minutes falls toward about $0.33/minute (calculated as $16.66 divided by 50 minutes). For very large workloads, we publish an additional bracket starting from 2,500,000 credits per month, about 2,500 minutes, with custom extra-credit pricing negotiated through sales. At that scale, total cost per minute tends toward or below the $0.25 marginal rate.
What the price includes, and what it does not
On paid plans, the credits you buy are not limited to raw dubbing minutes. The same balance covers a wider localization workflow:
- AI Dubbing of existing videos into 33 target languages.
- AI voice cloning integrated directly into the dubbing pipeline.
- Text to Speech for intros, outros, and non-video content.
- Text to Image and Image to Video for assets and visual enhancements.
- Speech to Text for transcription and captions.
- Speech Separator to clean and isolate audio.
- Free regenerations of AI Dubbing projects, so creative iteration does not keep burning minutes.
- Rollover credits that smooth out uneven publishing schedules.
Because of that pooling and free iteration, the real cost per dubbed minute is often below the headline division, especially when you also lean on TTS or transcription inside the same balance.
A few things are not explicitly bundled and may add cost or require a separate conversation:
- Human post-editing or quality control by professional linguists.
- Custom integration work beyond the standard API and SDK.
- Custom SLAs, compliance reviews, or high-touch onboarding for large organizations.
For those, most buyers should plan for either internal reviewer time or a custom enterprise discussion rather than list pricing.
Matching a plan to how you publish
Pricing only becomes concrete once you translate it into your own output. The scenarios below are illustrative, assuming 1,000 credits equals about 1 minute of dubbing and that most credits go toward dubbing or TTS.
A solo YouTube creator testing multilingual uploads might produce 3 to 5 short videos a month, roughly 10 to 20 minutes. Starting on Free validates voices and workflow; Starter makes sense once you pass 2 minutes or want rollover and the option to buy extras.
A small business or marketing team running 30 to 80 minutes a month across product videos, explainers, and ads usually fits Starter near 50 minutes, then Standard once content regularly exceeds that or spans more languages.
An e-learning or training team producing 150 to 350 minutes a month of modules and updates typically starts on Standard for smaller programs and moves to Pro once volume crosses about 150 minutes or lower overage rates matter.
High-volume publishers and localization teams handling 1,000-plus minutes a month, or a large back catalog, belong on Enterprise or the custom Enterprise+ bracket, where negotiated extra-credit pricing keeps the marginal cost at or below $0.25/minute. Developers and agencies integrating through our API budget against the same credit framework, then pick the tier whose bundled minutes and overage rates match expected usage across clients.
The exact inputs we need to quote you precisely
To size a subscription or an enterprise agreement accurately, have these numbers ready before you talk to us:
- Monthly finished minutes. How many minutes of source video you expect to dub, and how many target languages, since each fully dubbed language version consumes its own credits.
- Content pattern and seasonality. Whether output is steady or bursty. Rollover credits make our model attractive when heavy production is followed by quieter months.
- Tool mix. The rough share of credits going to AI Dubbing versus Text to Speech, transcription, or visual tools, all drawing from the same balance.
- Quality and iteration expectations. How often you expect to regenerate lines or clips. Because regenerations of AI Dubbing projects do not cost extra credits, high-iteration work gets more value per minute.
- Governance needs. Requirements for user management, SSO, compliance, or higher-touch support, which decide whether a standard Enterprise tier or a custom Enterprise+ agreement fits.
With those five figures in hand, mapping your usage to a published plan, or justifying a custom volume quote, becomes a short conversation rather than guesswork.
Frequently asked questions
How much does AI video dubbing cost per minute in 2026?
Most AI platforms charge around $1 to $10 per finished minute depending on features, quality, and volume (USD, September 2026). Our bundled pricing brings the effective included rate closer to $0.25 to $0.40 per minute, with extra minutes as low as $0.25 on higher tiers.
Is AI dubbing really cheaper than traditional studio dubbing?
Yes. Traditional dubbing often costs $50 to $200 per minute because of studio time, actors, and engineering, while AI dubbing operates one to two orders of magnitude cheaper per minute at comparable output volumes.
Do we charge per video, per language, or per minute?
We charge in credits, where 1,000 credits is about 1 minute of AI Dubbing or TTS. Each dubbed minute per language consumes credits drawn from your monthly plan plus any extra-credit purchases.
Do unused minutes expire every month?
No. On paid plans, unused credits roll over to the next month, which helps when your production schedule is uneven.
Are re-dubs or corrections billed again?
We allow free regeneration of AI Dubbing projects, so re-trying lines or whole clips does not consume additional credits beyond the original generation.