Three years of Tamil and Hindi subtitling QC

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
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

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.

How Multimedia services was delivered

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.

What was delivered on 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 this team fit the assignment

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.

Work connected to Streaming subtitling and QC

Related services, buying guidance and language coverage

Languages listed

  • Tamil
  • Hindi
  • Subtitle timing and QC

More proof

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Compare Streaming subtitling and QC with other projects

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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.

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Streaming subtitling and QC questions

What was delivered on this engagement?

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

Which control supported the Streaming subtitling and QC result?

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

Scope work like Streaming subtitling and QC

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