Video localization service cover

Video localization service

Terminology and speaker continuity across a full course library.

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For
Learning video producers selling courses internationally
Solves
Each language version requires disconnected transcription and editing work.
Delivers
Localized video, subtitle files and terminology log
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$11,000 for the MVP, $45,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For learning video producers selling courses internationally, turn authorized video, transcript and pronunciation glossary into localized video, subtitle files and terminology log.

  1. Transcribe with speaker labels.
  2. Edit translated subtitles.
  3. Align dubbed speech.
  4. Track voice permissions.
  5. Check on-screen text.
  6. Export caption and video versions.

What goes in, what comes out

What the customer puts in
  • Authorized video
  • Transcript
  • Pronunciation glossary

AI drafts, people review. Multilingual production and review portal.

What the customer gets
  • Localized video
  • Subtitle files
  • Terminology log
02

How it works

The workflow

  1. In
    Start with

    Authorized video, transcript and pronunciation glossary

  2. 1

    Upload authorized source content

  3. 2

    Confirm target languages and terminology

  4. 3

    Create translation drafts

  5. 4

    Assign qualified reviewers

  6. 5

    Reconcile source changes

  7. 6

    Check layout or timing

  8. 7

    Deliver approved language versions

  9. Out
    Finish with

    Localized video, subtitle files and terminology log

AI does the heavy lifting, people stay in charge

Draft translations, transcribe media when applicable, suggest terminology and detect inconsistencies. Deterministic checks compare dates, numbers and identifiers. Qualified language reviewers decide idiomatic phrasing and specialist meaning. Voice work requires explicit permissions for the intended use.

What your team sees

Key screens: Video timeline, language comparison, reviewer queue. Use aligned source and target language panes with shared terminology highlights. Include a language status grid, reviewer assignment queue, and layout or timeline preview. Show unresolved ambiguities next to the affected passage. Keep approvals separate for each language and version. In this product, the first view is video timeline, followed by language comparison and reviewer queue.

Accounts and administration

Language permissions, glossary versions, reviewer assignments, segment comments, source-change alerts, per-language approvals and delivery history.

Integrations and data access

Existing artwork, campaign systems and client approval processes. Document formats, subtitle formats, media storage and publishing systems. Confirm language, font and layout support for each requested output. These are candidate integration categories, not verified supported connectors.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    6 days

    One buyer segment, one recurring use case; first modules: transcribe with speaker labels; edit translated subtitles. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    3 weeks

    Remaining modules: track voice permissions; check on-screen text; export caption and video versions. Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will learning video producers selling courses internationally use it to solve "each language version requires disconnected transcription and editing work"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Translate a representative sample and have an independent qualified reviewer assess it.
  4. Measure, then decide. Track correction minutes per video and acceptance by native reviewers. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Begin with learning video producers selling courses internationally and one recurring use case. Build the first two modules: transcribe with speaker labels; edit translated subtitles. Provide operator assistance for the third module: align dubbed speech. Deliver localized video, subtitle files and terminology log through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.

After the MVP. After paid pilots establish value, automate the remaining modules: track voice permissions; check on-screen text; export caption and video versions. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.

What the build depends on. Segment alignment, glossary enforcement, multilingual text handling, comparison views and qualified reviewers. Media projects also need timing and audio/video QA.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: transcribe with speaker labels; edit translated subtitles. Manual review in the loop.

    $11,000 · about 6 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $14,500 · about 7 days of creation time

  3. Phase 3

    Full product

    Remaining modules: track voice permissions; check on-screen text; export caption and video versions. Self-serve onboarding, billing, monitoring and the wider integration set.

    $20,000 · about 3 weeks of creation time

Indicative total, MVP to full product$45,500about 5 weeks of creation time · start with the MVP from $11,000

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$40–$80$100–$200$140–$280
Full productabout 50 customers$160–$320$1,230–$2,450$1,390–$2,770
05

Run it or resell it

Internally

For your own team

Learning video producers selling courses internationally run it inside the business: authorized video, transcript and pronunciation glossary in, localized video, subtitle files and terminology log out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#913e27
  • accent#54a0c9
  • surface#f1e7e4
  • ink#22201e
Headings
Libre Baskerville
Text
IBM Plex Sans
Voice
Confident, visual, craft-proud
Selling it to your own clients: the go-to-market playbook

Pricing to test

Quote an initial USD 300-1,200 batch for a defined word count or media duration and one target language. Charge separately for extra languages, specialist review and dubbing. Test recurring volume agreements after the pilot; prices are hypotheses.

Message to test

Video localization service for learning video producers selling courses internationally. Terminology and speaker continuity across a full course library. Demonstrate the claim through a reviewed sixty-second bilingual video sample.

Where to find buyers

Course production agencies and international training providers

Lead magnet

A reviewed sixty-second bilingual video sample

The first 30 days

  1. Week 1: interview five prospective buyers in this segment: learning video producers selling courses internationally. Ask to see a recent example of the problem and their current process.
  2. Week 2: prepare this demonstration using authorized or synthetic material: a reviewed sixty-second bilingual video sample.
  3. Week 3: present it through course production agencies and international training providers and seek one narrowly scoped paid pilot.
  4. Week 4: review correction minutes per video, acceptance by native reviewers, total delivery effort and a concrete renewal decision before increasing scope.

Paid pilot

Translate a representative sample and have an independent qualified reviewer assess it. Include a source revision to measure update handling. Track corrections, meaning preservation and total delivery effort. For this solution, use authorized video, transcript and pronunciation glossary and evaluate localized video, subtitle files and terminology log. Agree success thresholds with the buyer before starting; collect a baseline for correction minutes per video, acceptance by native reviewers. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.

Success metrics

Correction minutes per video, acceptance by native reviewers

Retention and expansion

Maintain approved terminology and reviewer continuity. Charge for ongoing source updates and add languages only when the buyer has a real publishing need.

Why clients would pick it

Customer-controlled approved terminology, reviewed translation examples and dependable specialist reviewer relationships. For this solution, build around terminology and speaker continuity across a full course library. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.

Alternatives and positioning

Translation agencies, freelance linguists, generic machine translation and internal bilingual staff. Differentiate on this specific proposed advantage: terminology and speaker continuity across a full course library. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.

Main delivery costs

Source preparation, translation volume, transcription or dubbing, qualified reviewers, glossary maintenance and changed-source rework.

06

Safeguards

Protect supplied asset rights, client approvals and product fidelity. Do not reuse private client assets across accounts. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

Get this solution built

Built for you by our AI software factory, MVP in about 6 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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