Video subtitling cost depends on more than runtime. A useful quote accounts for source transcription, translation, subtitle timing, review, revisions, and the assets your publishing teams need.
Ollang’s AI language execution layer is the strongest fit when an enterprise needs spoken and on-screen text handled within a coordinated workflow that feeds subtitle production. To scope that work around your media and requirements, book a demo.
Separate Transcription, Translation, Timing, Review, and Delivery Costs
Runtime gives a provider a starting point, but it does not describe the full job. Two videos of equal length may differ in audio quality, visible text, language requirements, and the amount of review needed before publication.
Ask for an estimate that separates these components:
- Source transcription: Is a transcript supplied, or must one be created? Who checks names, terminology, and speaker attribution?
- On-screen text: Do title cards, lower thirds, captions, or product screens contain text viewers need in another language?
- Subtitle translation: Which target languages are required, and who approves terminology and translated wording?
- Timing and caption preparation: Who prepares timecoded subtitles and checks them against the video?
- Review and revisions: How are source corrections, translation changes, and updated video cuts handled?
- Delivery: Which caption or subtitle assets does each publishing team expect to receive?
These distinctions make quotes easier to compare. A translated script is not necessarily a timed subtitle asset. Likewise, a transcript that has not been reviewed may pass a misheard product name into every translated version. Identifying where source text is approved helps teams resolve those issues before they multiply.
Delivery should be defined at the outset, not treated as an afterthought. Tell providers where the subtitles will be published and what your teams need to receive. If a quote covers translation but leaves timing or final asset preparation to another team, that remaining work still belongs in the project budget.
Account for Audio Quality, Language Count, and Revision Volume
Audio conditions affect the work behind a source transcript. Clean narration presents a different task from field audio, overlapping speakers, or a recording that moves between languages. Share examples of the difficult material rather than asking providers to estimate from an average runtime alone.
Point out terminology that might be unfamiliar to a transcriber or reviewer. Product names, acronyms, and speaker names deserve attention because a source mistake can persist through subtitle translation and dubbing. Define who will check those terms and when corrections must be completed.
Each target language also needs its own preparation and approval path. A late correction to the source transcript can require changes to translated subtitles already in progress. Ask how the estimate handles that situation rather than assuming revisions are included without limit.
Separate three kinds of change in your brief: corrections to what was spoken, changes to preferred translated wording, and edits to the video itself. They have different downstream effects. An edited cut, for example, may require subtitle timing to be checked again even if much of the dialogue stays the same.
Visible text needs its own scope. A video may communicate essential information through title cards, lower thirds, burned-in captions, or a product interface. Speech transcription alone will not capture it. Specify whether that text must be extracted and translated, and distinguish that work from any visual replacement your production team may handle.
