Any source, Hindi out
English, Spanish, French, German, Japanese, Korean or Chinese speech in, Hindi captions out, with the timing kept against the original video.
CaptionFX transcribes your video in its original language, translates the captions into Hindi a segment at a time, and burns the result into a new MP4. The translation stays editable against the playing video, because a Hindi line can be grammatically perfect and still say the wrong thing.
English, Spanish, French, German, Japanese, Korean or Chinese speech in, Hindi captions out, with the timing kept against the original video.
Whole caption segments are translated together. Hindi puts the verb where English does not, so word-by-word substitution produces nonsense.
Indic script breaks silently when a renderer lacks the right font. The fonts ship with the renderer and are named explicitly.
English is subject-verb-object: "I watched the video." Hindi is subject-object-verb: "मैंने वीडियो देखा" — literally "I video watched." The verb moves to the end of the clause.
That single structural difference is why word-by-word caption translation between English and Hindi fails completely. If you translate each word in place and keep its timing, you get the right Hindi vocabulary in English order, which is not a sentence. It reads as broken to any Hindi speaker, and no amount of accurate vocabulary rescues it.
Tools do it anyway because of timing. Translate word for word and every word keeps its original timestamp, so the captions stay perfectly in sync with no further work. It is the convenient answer rather than the correct one.
CaptionFX translates whole segments and accepts what follows: a translated caption keeps reliable line-level timing but not per-word timing, because the Hindi words do not correspond one-to-one with the English ones. Rather than inventing per-word timings that look real, translated captions carry none, and the measured source words are kept alongside so nothing is thrown away.
Translation changes how much text you have, and captions live inside a fixed amount of screen and time. A line that fitted comfortably in English can overflow the frame or flash past unread once it is Hindi, without a single word being mistranslated.
Devanagari also occupies space differently. Vowel marks sit above and below the baseline, so a Hindi caption needs more vertical room than Latin text at the same point size, and cramping the line spacing is what makes Devanagari captions look broken even when every character is correct.
This is a real editing step, not a detail. After translating, watch the clip once at normal speed and look for lines that are now too long for their slot. Loosening the pacing — fewer words per line, more lines on screen — fixes most of it without rewriting captions by hand.
Translation into Hindi has got genuinely good and is still weak in predictable places. Register is the big one: Hindi encodes formality in its verb forms, and a machine translator tends to flatten everything to one level. A casual, joking English line can come out sounding like a textbook, which changes how your audience reads you more than a vocabulary error would.
Then there are your own terms. Product names, brands and technical vocabulary get helpfully translated into common Hindi nouns unless you catch them. And a translator cannot see your video, so a line that depends on what is on screen gets translated as though it were prose.
So review with the clip playing. Reading the Hindi while hearing the original English is the only reliable way to catch a line that is grammatically correct and says something you did not mean.
Before trusting any tool with Hindi subtitles, export a real test clip and look at the downloaded file rather than the preview.
Devanagari requires glyph shaping — consonants combine into conjuncts, vowel marks attach above and below, and a character's drawn form depends on its neighbours. A renderer without a suitable font does not raise an error. It silently substitutes a default and draws boxes, broken fragments, or plausible-looking text with the conjuncts quietly wrong.
The expensive version is the inconsistent one, where it looks right in the browser and wrong in the export, because the browser and the encoding server resolve fonts independently. CaptionFX ships the fonts it draws with and names them explicitly to the renderer, and names a specific covering fallback for any glyph the chosen face lacks, so the export draws what the preview drew.
Yes. CaptionFX transcribes the English speech, translates the captions into Hindi a segment at a time, and exports an MP4 with the Hindi captions burned into the frames. You can review and edit the Hindi before exporting.
Because English is subject-verb-object and Hindi is subject-object-verb. Translating each word in place gives you correct Hindi vocabulary in English word order, which is not a sentence. Segment-level translation is the only way the grammar survives.
Line-level timing is preserved, so each Hindi caption appears at the right moment. Per-word timing is not, because Hindi words do not map one-to-one onto English ones — CaptionFX leaves translated captions without word timings rather than inventing plausible-looking ones.
Often, yes, and Devanagari needs more vertical space because vowel marks sit above and below the baseline. Expect to loosen the caption pacing after translating so lines stay readable instead of overflowing or flashing past.
Twelve Indian languages including Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, Assamese and Urdu, plus a range of global languages. Indian and global targets are routed to different translation systems, because no single system is best at both.
A video. The Hindi captions are burned into the MP4 frames, so they are visible on any platform without a separate subtitle file — which matters because most social platforms will not carry a sidecar through a re-upload or re-share.