Translate documentary subtitles into Hindi — AI translation keeps every timestamp intact. Fast, accurate and private, with a free tier.
Manual translation, hired voice actors, days of waiting. Creators and teams lose time and money on every single video.
Skip the old workflowCopying subtitles line by line into Google Translate?
Losing all timing when you paste translated text back?
Paying per-minute rates for a simple subtitle translation?
Stuck with tools that only support a few languages?
Upload, pick languages, and let the AI handle the rest. No software to install.
A few clicks, that is all.
A few clicks, that is all.
A few clicks, that is all.
A few clicks, that is all.
I spent three weeks filming a documentary about street food vendors in Old Delhi, and the footage was solid—but my Hindi-speaking audience kept asking why there were no subtitles. I tried doing it myself, got stuck at 'masala' in the third minute, and realized I needed to translate documentary subtitles into Hindi properly. The tool I found handles SRT, VTT, even plain TXT, and kept my timestamps intact so nothing drifted. Uploaded my English file on a Tuesday morning, had clean Hindi subtitles by lunch. First video with them hit 40K views in India within five days. Free to start, which mattered since I'm funding this myself.
Every translated line keeps its original timestamp.
Translate subtitles to 34 languages in one click.
DeepSeek, Kimi, Qwen or your own Ollama models.
Download in any format, or copy the script for editing.
Upload multiple files and process them in sequence.
Fine-tune any line in the result, then export the final version.
Yes—terms like 'chai wallah' or neighborhood names keep their local flavor instead of turning into awkward literal translations that pull viewers out of the story.
Absolutely. The tool preserves speaker labels and timing cues, so when your Delhi vendor switches to your Mumbai narrator, Hindi viewers follow without confusion.
The subtitle text translates what's spoken, not how it's pronounced—your Hindi output stays readable regardless of whether the original speaker is from Kerala or Kolkata.
SpeakVid uses industry-leading recognition and translation models (Whisper, DeepSeek, Kimi and more), with multi-level fallback to keep output reliable.
Most tasks finish in minutes. A 10-minute video typically completes in 2-5 minutes depending on length and engine.