Three years of subtitling and QC for Tamil and Hindi streaming.

A streaming platform needed continuous Tamil and Hindi subtitling and QC across a growing catalog, where timing and readability are judged by every viewer, not a spec sheet.

3,100+ minutes - 2,000+ episodes - reviewed quality on this engagement

3,100+ minutes Subtitling
2,000+ episodes QC
Streaming subtitling and QC visual: Terminology governance with CAT tools and glossary control.
Measured outcomes Streaming subtitling and QC
3,100+ minutes Subtitling
2,000+ episodes QC
reviewed quality on this engagement Subtitling quality
reviewed quality on this engagement QC quality
Three years, continuous Duration

The project

Streaming subtitling and QC

Client
A streaming platform (via a top-100 LSP)
Service
Subtitling and subtitle QC
Languages
Tamil, Hindi
Volume
3,100+ minutes subtitled, 2,000+ episodes QC
Duration
Three years, continuous

A streaming platform needed Tamil and Hindi subtitling and QC on a continuous cadence as its regional catalog grew, delivered through a top-100 LSP under their brand.

Subtitling lives or dies on timing and readability: a late cue or an awkward line is visible to every viewer, and a three-year engagement only holds if quality survives the early feedback cycles.

The problem to solve

Continuous subtitling fails when reviewers rotate, when timing and language are checked separately, or when QC drifts as episode volume climbs.

The platform needed subtitling and an independent QC pass held to one bar across three years, with the partner brand in front of the end client.

What MoniSa changed

MoniSa ran subtitling and a separate QC lane as white-label production, with reviewer continuity and a fixed quality bar across the full engagement.

  • Separate QC lane

    Subtitling and QC ran as distinct passes so timing and language errors were caught before delivery.

  • Reviewer continuity

    Stable reviewers across three years kept readability and timing consistent as the catalog grew.

  • White-label delivery

    Work shipped under the partner brand, with production handled invisibly behind it.

Results

Measured outcomes from this engagement.

The platform received 3,100+ minutes of subtitling and 2,000+ episodes of QC over three continuous years, at reviewed quality subtitling and reviewed quality QC on this engagement.

Subtitling3,100+ minutes
QC2,000+ episodes
Subtitling qualityreviewed quality on this engagement
QC qualityreviewed quality on this engagement
DurationThree years, continuous

What supported the result

Why the fit was real

Long-run subtitling needs a separate QC lane and stable reviewers, not a bench that re-learns timing and readability each season.

What decided the result

Surviving the early feedback cycles and holding quality for three years mattered more than any single batch.

What buyers can reuse

  • Subtitling quality is a timing and readability problem that only a separate QC lane reliably catches.
  • A three-year engagement is proof of sustained reliability, not a one-off pass that looked good once.
  • The evidence keeps the client and partner details confidential and attributes the metrics only to this engagement.

Continue from this proof

Useful comparisons for the same problem.

Use these links to compare the case with the matching service, buyer guide, and language coverage.

Languages named

Examples referenced in the engagement.

  • Tamil
  • Hindi
  • Subtitle timing and QC

More proof

Related projects

Compare this case with adjacent MoniSa proof before deciding whether the operating pattern fits your brief.

case evidence

Related projects.

These related cases keep the next click close to the same kind of work.

AI evaluationFifty languages evaluated in a compressed sprint under project-scoped review, client details confidential.

LLM fine-tuning evaluation

The challenge. A model team needed 20,000 prompts evaluated across 50 languages under a compressed decision window for a fine-tuning decision.

What we did. MoniSa sourced five pre-calibrated evaluators per language across all 50 tracks in parallel.

The result. The team received ~20,000 evaluations across 50 languages during the compressed sprint under project-scoped review.

Open full case

Recognise your own project in one of these?

Send the language list and volume
Translation and LSP supportA quarter-million words of legal Khmer, terminology held exact, client details confidential.

Legal translation into Khmer

Problem. A global marketplace needed 250,000 words of legal content translated into Khmer for market entry.

Action. MoniSa sourced legal-literate Khmer linguists with a separate review pass and terminology control.

Result. The marketplace received 250,000 words of legal Khmer translation and review.

Open full case
Media and metadataDevice-aware subtitle QC across five screens under project-scoped review, client details confidential.

Multi-device subtitle QC

Problem. A media catalog needed subtitle QC verified across five device types and four languages.

Action. MoniSa ran QC against a per-device checklist with native reviewers per language.

Result. The catalog received 500+ hours of subtitle QC under project-scoped review across Mac, Windows, mobile, iPad, and OTT.

Open full case

Buyer questions

Common questions.

What was delivered on this engagement?

Subtitling: 3,100+ minutes. QC: 2,000+ episodes. Subtitling quality: reviewed quality on this engagement

What control kept the work stable?

Surviving the early feedback cycles and holding quality for three years mattered more than any single batch.

Where should similar work go next?

Use Multimedia services for the delivery model, the case studies hub for buyer-side evaluation, and the contact page for a scoped brief.

What happens if you cannot staff one of my language pairs?

For the proposed project, ask for pair-by-pair availability or a recruitment window in writing before agreeing a date. Define qualification and pilot approval for any new contributor before live work. A coverage claim should be checkable before the scope is signed.

Similar brief

Send the constraint behind the metric.

A useful follow-up to a case study names the language mix, review model, deadline, and what proof your buyer team needs before approval.

Send a brief

Do not paste raw outputs, source records, transcripts, third-party personal data or confidential files here. We will agree a transfer path after scoping.

Required. We will reply about your project.

Scope a project Call