A list without a total, against a total without a list
HeyGen publishes two named alphabetical lists with no total on either. Rask AI publishes a figure of over 135 languages with no list at all. Between them they hold the two halves of a complete disclosure and neither has both. As of 2026-09-22.
| What a reader wants | HeyGen | Rask AI |
|---|---|---|
| A set they can search | Two named lists | Not published |
| A figure they can quote | Not on either list | Over 135 languages |
| A marketing figure | More than 175, on the translator page | The 135 is the marketing figure |
| A per-job limit | Ten languages per video at once | Not published |
Inclusion rule. Two vendors chosen because each publishes exactly what the other omits. Rows are what a buyer would want from the column. Order. Set first, then count, then the surrounding figures.
1The two halves of one disclosure
A set answers whether a market is covered. A count answers how large an inventory is. One of these vendors published the first and the other the second, and a buyer needs the first far more often.
Counting entries turns a list into a number in a few minutes; nothing turns a number into a list. So the vendor with no total is one short step from complete disclosure and the vendor with no set is not close to it.
2Both have a marketing figure, and only one has documentation under it
One vendor's 175+ sits above two help-centre lists that a reader can check it against. The other vendor's 135+ sits on a home page with nothing under it.
That is what makes the pair worth reading together. Identical claim shapes, a plus figure in a sentence about languages, and in one case there is documentation behind it and in the other there is not.
3Only one of them publishes a limit
Ten languages per video at once is the only per-job language limit in this register, and it belongs to the vendor that also publishes the lists. The other vendor states nothing about how many languages a single job can produce.
Both also leave the document column empty and declare nothing on their own hosts, apart from the sixteen alternates one of them serves from subdomains. So the difference between these rows is entirely in the shape of one cell.
4Sources
Read from the HeyGen video translator page and rask.ai. Both rows are kept in the register under one rule, set out on how counted; the column is described on dialogue language.
5Both of them against the rest of the column
| Tool | Voice languages |
|---|---|
| CapCut | No list published |
| D-ID | 120+, count only |
| Fliki | 91 named, plus 117 dialects |
| Hailuo | No list published |
| HeyGen | Two named lists, no total |
| Higgsfield | No list published |
| invideo AI | No list published |
| Kling AI | Five, count only |
| LTX Studio | No list published |
| Pika | No list published |
| PixVerse | No list published |
| Rask AI | 135+, count only |
| Runway | No list published |
| SceneMixer | 15, plus Cantonese for dialogue |
| Synthesia | 143 named |
| VEED | 29 dub-to, 72 detectable |
| Vidnoz | 100+ and 140+, counts only |
| Vidu | No list published |
Inclusion rule. Tools with a public English site selling AI video generation or AI video dubbing. Site languages count hreflang alternates served from the host being read; x-default and alternates pointing at another host are not counted, for every vendor alike. Order. Alphabetical by tool name.
Other pairings that turn on the same kind of difference: Synthesia and Fliki, CapCut and D-ID. The full set of pairings is here; single cells are indexed at entries.
- Voice languages“You can translate a single video into up to 10 languages at once, choosing from 175+ languages and dialects”per-job limit stated
- Voice languagesAn alphabetical list of voice languages, from Afrikaans (South Africa) to Zulu, with no total printed anywhere on the pagenamed list published
- Voice languages“AI-powered audio & video dubbing in over 135+ languages for global businesses, available in-app and via API”count published without a list