Anyone who has ever prepared a technical article, scientific paper, or DIY tutorial knows the problem: diagrams are often perfect as they are, except for one thing—the labels are in the wrong language. Redrawing the figure takes time, manual editing is slow and complicated, and a careless AI image edit can easily crop the edges, shift elements, or quietly distort the illustration. In the AI Tricks section, we present a robust prompt pattern designed specifically for this scenario: translating labels in technical images while keeping every other pixel intact.
A Prompt Built for Editorial Precision
The core idea is simple but strict. The prompt instructs the AI to:
- translate only the textual labels,
- replace them in exactly the same positions,
- preserve size, aspect ratio, and full canvas without any cropping,
- leave all graphical elements—lines, arrows, symbols, components, colors—completely untouched.
This approach mirrors the expectations of editorial workflows at magazines and journals: the figure must remain publication‑safe, reproducible, and visually identical to the original.
To enforce this, the prompt explicitly forbids resizing, re‑framing, or “beautifying” the image, and even states that if cropping would be necessary, the model should not modify the image at all.
Prompt – Translating and Replacing Image Labels
Recommended prompt (ANY Source Language → English | ABSOLUTE NO-CROP | Strict Spelling Control – copy/paste):
TASK:
Translate the non-English labels found in the image into English, then replace them in the image.
IMAGE SIZE / CROPPING – CRITICAL CONSTRAINT
- The image’s pixel dimensions, aspect ratio, and full canvas must remain 100% unchanged.
- Cropping, trimming, resizing, rotating, or re-canvasing is strictly forbidden, even by a single pixel.
- The left, right, top, and bottom edges must remain at exactly the same coordinates as in the original image.
- If replacing the labels would require any cropping or canvas change, do not modify the image at all.
GRAPHICAL CONTENT
- Do not modify any graphical elements, including but not limited to:
lines, arrows, circles, measurement markers, waveforms, symbols, components,
wires, photo details, colors, shadows, or background.
- Only the text content may change; every other pixel must remain identical.
TEXT REPLACEMENT RULES
- The new English labels must:
- appear in the exact same positions as the original labels,
- use a similar font, size, and color,
- follow the original typographic style and alignment.
- Do not add new labels and do not remove existing ones.
- Do not explain the image, do not draw new elements, do not optimize or “beautify” it.
- Mathematical symbols, indices, and units (d₁, ≈, cm, µH, etc.) must remain unchanged.
SPELLING / TEXT QUALITY – MAXIMUM STRICTNESS
- All English labels must be 100% error-free:
- no typos,
- no missing or extra letters,
- no incorrect spacing or hyphenation,
- correct capitalization throughout.
- Use standard, professional technical English terminology appropriate to the subject matter.
MANDATORY VERIFICATION PROCESS
1. List all labels to be replaced in source language → English form.
2. Perform a two-step review:
- a spellcheck-style check (no misspellings or malformed words),
- a typographic check (spacing, hyphens, capitalization, consistency).
3. Only then generate the final image with the verified labels.
OUTPUT
- Return one single modified image only,
- which is pixel-identical to the original,
- especially at the image edges,
- differing only in the translated text labels.
Why Spelling and Terminology Matter
Technical illustrations live or die by precision. A single typo in a component name, unit, or connector label can undermine credibility—or worse, confuse the reader.
That is why the prompt includes a mandatory double‑check process:
- All labels must first be listed as source language → English.
- The model must perform a two‑step review:
- a spellcheck‑style pass (no typos, missing letters, or broken words),
- a typographic pass (correct spacing, hyphenation, capitalization).
Only after this internal audit is the final image produced.
Trust, but Verify
It is important to be clear: AI models can still make mistakes.
Even with a well-designed prompt, occasional errors may slip through—especially in long or densely labeled figures. For editorial use, human verification remains essential. Every output should be checked against the original image and the intended terminology before publication.
Editorial warning: Results are strongly model-dependent. Thinking-mode and Pro-level models follow strict constraints more reliably, preserve layout fidelity better, and handle technical terminology with fewer errors. Faster or lightweight models are more likely to miss labels, introduce subtle spacing or capitalization issues, or violate no-crop rules. For publication-grade work, prefer higher-reasoning model variants and always perform a final manual check before release.
Where This Prompt Shines
This technique is particularly useful for:
- technical journalism and science communication,
- translated versions of schematics and block diagrams,
- educational materials and textbooks,
- DIY, electronics, and engineering articles,
- archival content being localized for international audiences.
In short: whenever the image itself is correct, but the language is not.
Editorial Takeaway
AI can dramatically speed up the localization of technical visuals—but only if it is guided with editorial‑grade constraints. A carefully written prompt, combined with post‑generation checking and the use of more capable model variants, turns a risky task into a controlled, repeatable workflow.
Used this way, AI becomes not a replacement for editorial judgment, but a precise and efficient assistant—exactly what modern technical publishing needs.