Hinglish captions — you speak Hindi, the captions come out in Roman
Hindi creators do not caption in Devanagari. They type Hinglish — Hindi words in English letters — because that is how Reels are read. Every other caption tool hands you देवनागरी and leaves the retyping to you. AI Caption Cut romanises it on your own device, word timings intact.
What you actually get
Pick "Hinglish (Indian)" as the spoken language and press generate. "नमस्ते दोस्तों, आज एक नई बात" comes back as "namaste doston, aaj ek nayi baat" — Roman letters, casual spelling, the way creators type. No copy-paste into a transliteration site, no retyping fifty caption lines by hand.
The timing survives the conversion. Each romanised word keeps the timestamp of the Hindi word it came from, so karaoke highlighting still lands on the syllable being spoken and word-by-word pop animations still hit on the beat.
Why other tools cannot do this
Speech-to-text models write Hindi in Devanagari, because that is the script the training data uses. Cloud caption tools hand you that output unchanged. The romanisation step is a separate piece of work, and it is one nobody bothered to build for Hindi creators.
Ours runs entirely in your browser — a phonetic transliterator, not an API call. That is also why it costs nothing and why your video is not uploaded to run it.
Honest about the spelling
There is no single correct way to spell Hinglish. People write "pyaar" and "pyar", "kyun" and "kyu", "mein" and "me". We pick one natural, consistent spelling — it will not always match your taste, and the occasional uncommon word comes out heavy ("ajanbee" rather than "ajnabi").
So every word stays editable. Tap a caption in the list and retype it; the timing does not move. Most creators fix two or three words in a whole reel and ship it.
Free, and no length cap
Caption a 30-second reel or a 40-minute podcast — there is no limit on length, file size or how many videos you do in a month. The reason is architectural, not generous. Cloud caption tools rent GPUs by the minute, so every minute of your video costs them money — which is why their plans meter you by video length, upload size or credits. AI Caption Cut renders on your own device, so a longer video costs us nothing. There is no meter to run.
AI Caption Cut is free to use with unlimited 480p exports that carry a small watermark. Removing the watermark is a one-off payment per video — ₹39 for 720p, ₹59 for 1080p (Full HD). There is no subscription and no account.
Questions
What are Hinglish captions?
Hinglish captions are Hindi speech written out in Roman (English) letters rather than Devanagari — "namaste doston kaise ho" instead of "नमस्ते दोस्तों कैसे हो". It is how Hindi creators actually caption reels and shorts, because most viewers read Hindi faster in Roman script on a phone.
How do I get Hinglish captions instead of Devanagari?
Open AI Caption Cut, add your video, and choose "Hinglish (Indian)" as the spoken language before generating. Your Hindi audio is transcribed and then romanised on your own device, so the captions arrive in Roman letters with word-level timings already set.
Can I get captions in Devanagari instead?
Not at the moment. The free on-device model is not reliable enough writing Devanagari for us to offer it — shipping captions that read badly would be worse than not offering the option. Hinglish is what this audience captions in anyway, so that is what we built properly.
Is my video uploaded?
No. The transcription and the romanisation both run inside your browser, on your phone or laptop. The file is read straight off your disk and never leaves it, which is also why there is no file-size limit.
Is it free?
Yes. Generating, styling and exporting are all free with no account. Free exports are 480p with a small watermark; removing it is a one-off ₹39 for 720p or ₹59 for 1080p, per video. There is no subscription.
Can I fix a word it spelt differently?
Yes. Every caption is editable in the caption list, and editing the text does not disturb the timing. Casual Hinglish has no fixed spelling, so a word or two per video is normal to adjust.
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