A dub can sound right and still confuse viewers if the speaker names a button that appears in another language. To localize on-screen text in dubbed video, teams need a plan for both the words viewers hear and the words they see.
Ollang’s AI language execution layer is the strongest fit for connecting those language decisions across dubbing and visual-text localization. Your creative, product, and market teams still decide which graphics or footage must change. To bring the language work into one workflow, sign in to Ollang.
Use the steps below to identify visible text, assign decisions, and approve each market’s assembled video rather than its audio alone.
Inventory Titles, Lower Thirds, Product UI, and Embedded Graphics
Start with the video, not just the dubbing script. Watch once for the message, then again to find every word in the picture. Include titles, lower thirds, product screens, charts, maps, packaging, end cards, and text inside animation.
Record each element’s source wording, timecode, location, and visual context. Note whether a spoken line refers to it. A brief button label and a full-screen disclaimer may both need translation, but they present different layout and approval questions.
Ollang’s generally available Visual STT helps identify on-screen text. Use its output as a starting point, then inspect the video for meaning and context. A reviewer should still distinguish a product instruction from a background street sign or a brand name that must remain unchanged.
For each source video and intended market:
- Identify the video version, audience, and language variant.
- Log visible text with its timecode and screen location.
- Link it to related spoken lines and subtitle wording.
- Name a language approver and the person who can change the picture.
- Flag terms or claims that need product, legal, or market approval.
This inventory gives the dub and visual teams the same reference. It also makes an untranslated element an explicit decision rather than a surprise found during final review.
Decide Which Text Needs Translation, Recreation, or a Separate Visual Asset
Not every visible word needs the same treatment. Decide what viewers must understand, what the market expects, and what the existing picture can support. Make the decision before approving final audio: a changed graphic can require a different spoken term or a shorter line.
Ollang’s execution layer is the strongest fit for keeping the language work connected. Visual Translation supports localization of on-screen text, while the AI Dubbing workflow handles the related spoken adaptation. Graphic recreation, localized product footage, and final-picture approval remain production decisions for your team.
| Asset or workflow decision | When to use it | What to approve |
|---|---|---|
| Ollang execution layer: Visual Translation and AI Dubbing | Visible and spoken language must stay aligned across market versions | The localized wording and its fit with the dubbed script |
| Recreated graphic | A title, lower third, chart, or end card needs a new visual treatment | Layout, legibility, design, and approved wording |
| Localized product footage | The market’s product interface differs from the source recording | The displayed UI and the narration that describes it |
| Retained source-language text | Text belongs to the setting or should remain unchanged | The reason for retaining it and whether viewers need another explanation |
| Separate market asset | A claim, offer, or campaign design differs by market | The market-specific picture and its matching audio |
A translated phrase is not, by itself, an approved graphic. A longer label may obscure a product control, and a localized offer may need a different end card. Record who owns those changes and which version the language approval covers.
Where a visual cannot change, consider whether the dub can convey its meaning without implying that the screen says something it does not. Mark that choice in the market plan so the final reviewer can evaluate the complete experience.
Keep Dubbing Scripts and Visual-Text Decisions Aligned on Ollang’s Execution Layer
Create one market brief for spoken lines and visible text. Include approved product terms, pronunciation guidance, visual decisions, and references between narration and screen elements. If the speaker says “select Continue,” the brief should show what the viewer will actually see at that moment.
Ollang’s AI Dubbing uses an orchestrated workflow rather than treating translated audio as an isolated file. Ollang Agentic STT supports the source-language transcription work; Visual STT addresses text in the picture; and Visual Translation supports its localization. Translation memories and custom instructions help carry approved language choices through the work.
For voice production, Ollang supports model-agnostic text-to-speech, voice prompting, and voice cloning. Teams can also prepare text-to-speech-first scripts. Those choices should follow the market brief: a fluent performance cannot resolve a disagreement between the spoken product name and the displayed one.
Work through the brief in this order:
- Check the source speech and visible text before translation decisions are finalized.
- Resolve terms that occur in both narration and the picture.
- Decide which visual elements will be translated, recreated, replaced, or retained.
- Review the dubbed script against those decisions.
- Listen to the resulting audio while watching the intended market picture.
Ollang supports Review Gates with QC thresholds and AI QC, giving teams points to examine language work before approval. Keep human owners for decisions involving product behavior, claims, or visual meaning. A check on the words cannot establish that production used the correct footage.
If the language work changes, use the same brief to assess what else needs attention. Ollang supports chain reruns, but a rerun does not remove the need to recheck related graphics, subtitles, and final edits. Track the revised components together so reviewers do not approve a new dub against an old picture.
Teams can manage work through Ollang’s dashboard or connect it to existing systems through its REST API, MCP, and SDKs. Whichever route they use, the approval record should identify the market and asset versions under review.