DesiCaptionsHindi and Marathi Subtitles in English Letters
Every big tool gives you Devanagari. Here is how to get Roman script instead.
Short answer
Almost every subtitle tool writes Hindi and Marathi in Devanagari, because that is the correct written form of the language. For Reels and Shorts, most creators want Roman script instead: "kya baat hai" rather than the Devanagari spelling.
You have three routes. Convert Devanagari afterwards with a transliteration tool, which mangles names and loses your timing. Retype it by hand, which is accurate and far too slow. Or use a tool that writes Roman script directly, so the script and the timing come out together.
This is transliteration, not translation. The words never change, only the alphabet.
Search for a Hindi or Marathi subtitle generator and you will find a dozen good tools. Upload a video to any of them and you get Devanagari back, because that is the correct script for those languages and it is what a transcription model is trained to produce.
Then you drop those captions onto a Reel and something feels off. The text is right and it still does not land the way the comments under your own videos do.
Why creators keep asking for this
Three reasons come up over and over, and only one of them is about language.
It is how your audience already writes
Open the comments on any Hindi or Marathi Reel. They are overwhelmingly in Roman letters. An audience that types "kasa kay" and "kya scene hai" all day reads those forms faster than the Devanagari spelling, through sheer exposure, even when they read Devanagari perfectly well.
Short-form gives you no reading time
A caption sits on screen for a second or two while the viewer is also watching the picture. Any hesitation decoding the text and the caption is gone. Small differences in reading speed matter enormously here and barely matter in a ten minute video.
Most caption fonts have no Devanagari at all
This is the practical one, and it surprises people. Display fonts, meme fonts, and nearly every caption template built by a non-Indian tool contain Latin glyphs only. Put Devanagari through one and you get empty boxes, broken conjuncts, or clipped matras, and it often is not visible until the video is published.
If your captions have ever rendered as small rectangles, that is a missing glyph, not a broken file. The font simply has no character to draw.
Transliteration is not translation
Worth being precise, because the fear that Roman script will flatten your voice into English is the most common objection, and it is unfounded.
| What changes | Example | |
|---|---|---|
| Transcription | Nothing, written in its own script | हो मित्रांनो |
| Transliteration | The alphabet only | Ho mitranno |
| Translation | The language itself | Yes friends |
Roman-script captions are the middle row. Every word, idiom and bit of slang stays exactly as spoken. Someone who does not know Marathi still cannot read it, which is the point: you are serving your own audience, not a new one.
The three ways to get there
1. Convert Devanagari afterwards
Generate Devanagari captions, then run them through a transliteration converter. It works, and it costs you three things: proper nouns come out wrong, spelling drifts between lines, and you often lose the word-level timing that word-by-word caption styles depend on.
2. Retype by hand
Perfectly accurate and completely impractical past one video. You are also retiming as you go, since editing text in a subtitle file rarely preserves the original cue boundaries cleanly.
3. Generate Roman script directly
The transcription writes Roman letters in the first place, so the script and the timing arrive together and nothing has to be repaired. Our Hindi subtitle generator and Marathi subtitle generator both work this way, and the Hinglish one handles sentences that switch between Hindi and English mid-way.
Only the third survives a real posting schedule, which is why it is the one this product was built around.
The mixed-language case, where Devanagari struggles most
Very little real speech is pure Hindi or pure Marathi. It is "yaar this jugaad is literally the best" and "ha video khup mast aahe".
Devanagari has to make an awkward choice with those English words. Spell them phonetically in Devanagari and they look wrong to anyone who knows the word. Leave them in Roman and the caption switches alphabet twice in one line, which is genuinely hard to read at speed.
Roman script never faces the decision, because both halves are already in the same alphabet. This is also where single-language transcription engines fail hardest, well before script choice comes up: a model told to expect Hindi treats the English words as noise, and one told to expect English does the same to the Hindi.
Keeping the spelling consistent
Romanised Hindi and Marathi have no official spelling. "Kyun" is also written "kyu" and "kyon". "Aahe" turns up as "ahe". None are wrong, but a caption track using three spellings of one word looks careless.
- Pick the spelling your own comments use most, and keep to it.
- Fix names, places and brands in the transcript before export. They are the words your audience notices, and the ones any AI is most likely to get wrong.
- Correct it in the text, never in the rendered video. Text takes seconds; a re-render takes minutes and has to be done again next time.
When Devanagari is still the right answer
Roman script is not a universal upgrade, and it would be dishonest to pretend otherwise.
- Formal, literary, educational or news content, where the written language should match the spoken one.
- An audience of primarily Hindi-first or Marathi-first readers rather than bilingual social media users.
- Long-form video, where the viewer is settled in and reading speed barely matters.
- Accessibility captions, where the standard expectation is the language own script.
- Hindi or Marathi language search on YouTube, where the caption text is what the index reads.
A sensible split for anyone doing both: Devanagari on the uploaded subtitle track for the long-form video, Roman script burned into the short vertical cuts. One transcript behind both, so a correction made once reaches each output.