Skip to content

AI Content & Creative

Auto-Subtitling & Translation

Automatic subtitling and translation takes video you already have and produces accurate captions plus versions in other languages — subtitled, dubbed, or both. For a business sitting on a library of training or marketing video that only serves English speakers, it multiplies the audience without reshooting anything.

Who it's for

Anyone with video content and a multilingual audience.

What changes

One video reaches five audiences.

Starting at
₹55,000
Timeline
3–6 weeks
Built from
Vashi, Navi Mumbai

Key takeaways

  • Most social video is watched with sound off — captions are a reach issue, not an accessibility extra.
  • Subtitling an existing library typically costs 5–10% of manual transcription and translation.
  • Dubbing quality is good for informational content and weaker for emotional delivery.
  • Technical terms and proper nouns need a glossary or they will be translated wrongly.
  • Library projects run 3–6 weeks from ₹1,50,000 depending on hours of video.

Two separate reasons to do this

The first is reach within a language. A large share of social video is watched muted, and video without captions loses those viewers entirely. Captions also make video content searchable and indexable, which it otherwise is not.

The second is reach across languages. A training library in English serves your Mumbai office and fails your plant in Coimbatore. A product video in Hindi reaches an audience several times larger than the English version.

Clients usually come for the second and find the first was the bigger immediate gain, because it applies to every video they already publish.

Subtitles, dubbing, or both

These are different products with different costs and different appropriate uses.

OptionWhat it involvesBest for
Captions, same languageTranscription and timingAccessibility, muted viewing, SEO
Subtitles, translatedTranslation and timingCost-effective multi-language reach
Dubbing, synthetic voiceTranslation, voice, timingTraining, low-literacy audiences
Dubbing with cloned voiceAs above, speaker's own voiceFounder or trainer content, with consent
Full localisationAbove plus on-screen textMarketing video for a new market

Why dubbing beats subtitles for some audiences

Subtitles assume the viewer reads comfortably and quickly in the subtitle language. For a large part of the Indian workforce, particularly in manufacturing, logistics and field roles, that assumption does not hold.

A safety training video with Hindi subtitles reaches fewer workers than the same video dubbed into Hindi. This is not a marginal difference and it is the single most common reason our clients choose dubbing for internal content.

For marketing and social content the calculation is different — subtitles are cheaper, work when muted, and audiences are used to them. We usually recommend captions everywhere and dubbing selectively where comprehension genuinely matters.

Timing, which is what makes subtitles readable

Correct text with bad timing is unreadable. Subtitles need to appear with the speech, stay long enough to read, break at sensible points in the sentence, and not exceed two lines.

Translation complicates this because languages expand and contract. Hindi text is often longer than the English it came from, and a literal translation frequently will not fit in the time available. The pipeline shortens where necessary while preserving meaning, which is a judgement the system makes and a reviewer checks.

For dubbing the same problem is harder, since the audio has to fit the visual timing. We adjust pacing and phrasing rather than speeding up the voice, which is what makes some dubbed content sound rushed and unnatural.

Running it across an existing library

The usual engagement is a back catalogue — sixty hours of training video, or three years of marketing content.

The process is a pilot on five representative videos to calibrate the glossary and check quality per language, then the bulk run, then a review pass focused on flagged segments where transcription confidence was low or translation was uncertain.

Review effort is roughly ten to twenty per cent of what full manual work would cost, concentrated on the parts that need it. For a sixty-hour library, that is a manageable piece of work rather than a project nobody starts.

Cost, formats and handover

Three to six weeks from ₹1,50,000 for a typical library project, with cost scaling by hours of video and number of target languages rather than by video count.

Output comes as SRT and VTT subtitle files, burned-in versions where you need them, and dubbed audio tracks or complete rendered videos. YouTube, Vimeo and most learning platforms accept the subtitle files directly.

You get the pipeline for ongoing use, the glossary, and full source, so new videos get captioned and translated as they are produced rather than accumulating into another back catalogue.

FAQ

Auto-Subtitling & Translation — your questions

How accurate is the transcription on our videos?

For clear studio or screen-recorded audio in English or Hindi, 92–97%, and the errors are mostly proper nouns that the glossary fixes. Video with background noise, several speakers talking over each other, or heavily accented speech recorded on a phone drops considerably. We run a pilot on your actual content rather than quoting from benchmarks, because the range across real libraries is wide enough that an estimate would be guesswork.

Which languages do you cover?

Hindi, Marathi, Gujarati, Tamil, Telugu, Kannada, Malayalam, Bengali and Punjabi among Indian languages, plus the major international ones. Quality is strongest in Hindi and reduces somewhat for languages with less training data behind them. For any language where you plan a large volume, we would run the pilot in that language specifically rather than assuming quality carries across from Hindi.

Can it keep the original speaker's voice in the dubbed version?

Yes, through voice cloning, and it is effective for founder-led or trainer-led content where the voice carries recognition. It requires the speaker's documented consent covering the languages and uses involved. The result is convincing for informational delivery and less so for emotional range. Where the original speaker does not consent, or has left the organisation, a neutral synthetic voice is the correct alternative rather than proceeding regardless.

Do captions actually help SEO?

Yes, though indirectly. Search engines cannot watch video, so a caption file is the only text representation of its content. That makes the video indexable for what is actually said, supports YouTube's own search, and lets you repurpose the transcript into an article or a summary page. The reach effect from muted viewing is usually larger than the search effect, but both are real and they come from the same piece of work.

How much human review does the output need?

For same-language captions, a light pass — checking proper nouns and any low-confidence segments, roughly ten minutes per hour of video. For translated subtitles and dubbing, a genuine review by someone fluent in the target language, which is closer to thirty minutes per hour of video. That is the cost clients most often underestimate, and skipping it is how a mistranslated safety instruction reaches a factory floor.

Next step

Want a Auto-Subtitling & Translation for your business?

Tell us what the process looks like today and we'll tell you what it would look like automated — and what it would cost.