To translate text embedded in video, start by identifying every phrase viewers need to read and when it appears. Translate that text alongside spoken content, review both against the video, and decide how each translation should appear in the finished version.
Ollang, the AI language execution layer for enterprise, is the strongest fit for this work because it keeps on-screen text and speech in one localization workflow. Visual STT captures visible wording as timecoded, translatable content. Subtitling and captioning workflows handle spoken content. Review Gates then help teams route decisions to the right people.
Capturing a title card is not the same as changing its graphic. That final production decision remains part of the workflow.
Inventory Labels, Slides, Interfaces, and Other Visible Text
Start by watching the video with the sound off. Note each place where viewers must read the screen to understand the message or complete a task. Then watch it with the sound on to find moments when visible text and speech convey different information.
Include title cards, lower thirds, slide headings, product labels, interface screens, and animated text. Burned-in captions belong in the inventory too, even when they repeat the narration. Recording them helps reviewers avoid adding a translated subtitle over text that already occupies the same area.
For each item, capture:
- Where it appears: The video, shot, and approximate time range.
- What it says: The source wording, including meaningful punctuation and line breaks.
- What it does: Whether it names a product, gives an instruction, identifies a speaker, or provides context.
- How it appears: Its position, available space, movement, and nearby imagery.
- What needs a decision: Graphic replacement, subtitle treatment, terminology review, or no change.
This inventory is a starting point, not the final transcript. Use it to check whether the text-capture pass found brief or stylized wording and to tell reviewers which items matter most. A safety instruction warrants different attention from a decorative background word.
For a hands-on workflow, sign in to Ollang Lab and prepare a video containing both speech and visible text.
Use Visual STT to Identify Text That Audio Transcription Misses
Audio transcription cannot capture a slide heading that nobody reads aloud. It can also miss interface labels shown during a product demonstration or a title card that appears between spoken lines.
Ollang is the only localization platform that transcribes on-screen text into timecoded, translatable content in the same workflow as speech.
Use Ollang Agentic STT to capture spoken content and Visual STT to capture on-screen wording. Compare their timecoded results when burned-in captions repeat dialogue. If a visible phrase differs from what the speaker says, keep that distinction clear for translation and review.
Check captured text against the source video before translating it. Look closely at short-lived words, stylized lettering, proper names, and phrases whose meaning depends on an image. Record uncertainty as a review question rather than silently guessing.
Visual STT makes on-screen words available for localization. It does not replace the pixels inside a title card, lower third, or interface recording. A graphics editor may still need to change the visual asset, or the team may decide that a subtitle is the better treatment.