Article summaries
Recaps and briefings, the use our note names. One finding per line gives one caption per point.

Rohan is one of two Hindi male voices, and our note assigns him article summaries. The published list gives him the shared Hindi record, a C grade at B target quality from 10 to 100 minutes of audio, and, as with every Hindi voice here, word-level timing for captions.
Hear it
On the record
A summary is dense: names, figures, dates, one point per sentence. Word-level timing means each of those lands in the caption at the moment it is spoken, which is the difference between a subtitle you can check and one you have to trust.
The record says tens of minutes of training audio at B target quality; the grade follows the amount. Nothing on the list describes his tone. The first sample, a slow descriptive line, is the closest to a summary read.
Length the engine likes. The published guidance puts the sweet spot at roughly 100 to 200 tokens, a few sentences; very short lines are the weak spot and very long ones can rush.
Where we would use it
Recaps and briefings, the use our note names. One finding per line gives one caption per point.
Digits read cleanly; tag any figure that must be read a specific way with Pronounce as.
Arjun is the other Hindi male; the pairings below start with him and two English voices.
Blends
No recipe we kept includes Rohan. Each card is a pairing to try; he keeps the Hindi pronunciation and the second voice lends its timbre.
A pairing to try. Marcus is our English report-summary voice, and behind Zhiyuan he made a kept Mandarin report recipe; listen for the same move on Hindi.
60% Marcus
A pairing to try, two Hindi males: Arjun reads product demonstrations by our note.
50% Arjun
A pairing to try. Edmund is low and British by our note; listen for whether 60 percent of him gives a summary more floor.
60% Edmund
A pairing to try, a Hindi female behind a Hindi male; our note gives her lesson introductions.
40% Ananya
A fixed sample at this mix, rendered once and cached. No credits used.
A cross-language blend: Rohan keeps the pronunciation, the second voice only lends its timbre.
Every blend works the same way: the first voice sets the pronunciation and pacing, the second voice lends only its timbre, and you choose the ratio between 10 and 90 percent. See the three steps on the voice library page
At a glance
| Language | Hindi |
|---|---|
| Voice | Male |
| Overall grade | C |
| Target quality | B |
| Training audio | 10 to 100 minutes |
| Captions | Word-level captions |
| Cost | 1 credit per job, room for about 3,300 characters |
| Formats | MP3 free, WAV on paid plans |
| Commercial use | Included on every plan |
| Preview | Free, no sign-up |
Grade, target quality, and training audio come from the engine's published voice list and estimate training data, not how a voice sounds.
FAQ
Yes. Hindi voices report word-level timing, so the SRT can highlight each word as it is read.
No cap on length. Billing counts bytes, three per Devanagari character, so a credit runs to about 3,300 characters in a single job; the cost is shown first.
Only our notes: Rohan is assigned article summaries, Arjun product demonstrations. Their published records are identical, C at B target quality from tens of minutes of audio.
Yes. Every standard voice carries commercial rights on every plan, with no watermark.
Similar voices
Paste a script, keep Rohan or blend a second voice, and download the MP3 with subtitles.