The problem in one example
Say you record: “Naan indha phone-a one month use pannen, honestly battery super.” That one line has Tamil grammar, English nouns, an English adverb and a Tamil suffix stuck onto an English word. A human understands it instantly. A captioning system has to decide, word by word, which language it is hearing and which script to write it in, and a lot of systems guess badly.
The result is captions that turn “phone-a” into a random Tamil word, drop “honestly” entirely, or render the whole sentence in clumsy romanisation nobody would actually type.
Five reasons it goes wrong
1. The speech model is English-first
Many captioning features run on speech recognition trained mostly on English audio. Tamil is supported, if at all, with far less training data. Less data means more errors on fast speech, regional accents and everyday slang.
2. Code-mixing breaks language detection
A lot of tools pick one language for the whole clip. If it locks onto Tamil, your English words get forced into Tamil spellings. If it locks onto English, your Tamil becomes gibberish. Real Tamil creator speech switches every few words, which is the worst case for a one-language-per-clip approach.
3. Nobody decided which script to use
Should “super” be written in Tamil script or in English? Should Tamil words be in Tamil script or romanised as Thanglish? There is no single right answer. It depends on your audience. Tools that do not let you choose make the choice for you, usually inconsistently.
4. Transliteration after the fact
Some tools transcribe first and then mechanically transliterate. That loses meaning and produces spellings like “nAn” that no Tamil reader would write. Worse, long clips sometimes get cut short during conversion, so the back half of your video has no captions at all.
5. Timing that ignores how Tamil sounds
Tamil is often spoken quickly with long compound words. If the tool splits lines badly or the timing drifts, captions appear half a second late, which feels broken even when every word is correct.
ceyonai uses an Indian-language speech engine and keeps English words in English and Tamil in Tamil.
Try it free →How to get accurate Tamil captions
- Use an engine trained on Indian languages. This is the single biggest factor. A model that has heard a lot of Tamil handles accents, speed and slang far better.
- Choose your script on purpose. Tamil script reads naturally to Tamil readers. Thanglish (Tamil words in English letters, English words as-is) reaches people who speak Tamil but read English more comfortably. Pick one per video and stay consistent.
- Keep English words in English. For code-mixed speech, the most readable result is usually Tamil in Tamil and English loanwords in Latin letters, the way people actually text.
- Record cleaner audio. A cheap clip-on mic and a quiet room improve accuracy more than any setting. Background music under speech is the most common cause of errors.
- Review before export. Even the best transcription misses names, brands and numbers sometimes. A single read-through catches them.
ceyonai was built around exactly these problems. It transcribes Tamil with an Indian-language speech model, gives you Tamil-script or Thanglish output, and lets you fix any word in an editor before exporting. You can see how it handles code-mixed speech on the Thanglish captions page.
A 60-second review checklist
- Names of people, places and brands spelled correctly.
- Prices, dates and numbers match what you said.
- No English words forced into Tamil script (or the other way round) unless you chose that.
- Captions appear as you start each phrase, not after.
- No line longer than about five words.