Official statement
Other statements from this video 15 ▾
- □ Google Images sert-il vraiment à trouver des pages web ou juste des images ?
- □ Les données structurées sont-elles vraiment indispensables pour le référencement des images ?
- □ Vos images peuvent-elles vraiment générer du trafic via Google Discover ?
- □ Le contexte visuel suffit-il vraiment à positionner vos images dans Google ?
- □ Où placer vos images pour maximiser leur impact SEO ?
- □ Les attributs alt sont-ils vraiment indispensables pour votre SEO ou juste un plus accessibilité ?
- □ Les images haute résolution améliorent-elles vraiment le trafic SEO ?
- □ Le contenu textuel influence-t-il vraiment le classement des images dans Google Images ?
- □ Faut-il vraiment optimiser Google Images différemment pour mobile et desktop ?
- □ Pourquoi la structure d'URL de vos images peut-elle ruiner votre référencement ?
- □ Pourquoi vos images disparaissent-elles de Google Images malgré un bon référencement ?
- □ Faut-il vraiment bloquer les images dans robots.txt pour les exclure de Google Images ?
- □ Faut-il vraiment activer max-image-preview:large pour apparaître dans Discover ?
- □ Faut-il vraiment ajouter des informations de licence sur vos images pour améliorer leur référencement ?
- □ Lazy-loading et images responsives : la vraie clé du Core Web Vitals ou un conseil générique de Google ?
Google strongly advises against embedding crucial text (page titles, menus, navigation elements) within images, as search engines and some users cannot access it. This recommendation directly impacts the indexing of your strategic content and user experience. Specifically, any essential text for understanding or navigating a page should remain in an HTML format that crawlers can utilize.
What you need to understand
Why does Google emphasize the distinction between HTML text and text in images?
Search engines, despite advances in OCR (optical character recognition), heavily favor native HTML text. This format is immediately parsable, indexable, and requires no additional processing layer.
When you embed an H1 title in a PNG or JPEG image, Googlebot first needs to detect that it's an image, download the file, and apply OCR processing, which reliability varies based on font, contrast, and compression. This process is resource-intensive and generates a significant indexing latency. Worse: if the OCR fails or produces an inaccurate transcription, your primary semantic signal disappears completely.
Which page elements are primarily affected?
Mueller explicitly targets page titles and menu items. These areas structure how search engines understand your content architecture and internal linking.
A navigation menu embedded as an image clickable through mapped areas (image maps) or worse, a menu entirely managed in JavaScript on a canvas, renders the internal link structure invisible to crawlers. The result: internal PageRank does not circulate properly, deeper pages do not receive the necessary link juice, and your semantic topicality becomes blurred for the algorithm.
What about accessibility and internationalization?
Beyond strict SEO, this recommendation touches on two critical aspects: accessibility for screen readers used by visually impaired individuals and automatic translation for non-French-speaking users. Screen readers rely on the alt attribute of images, but an alt never replaces a structured H1 or H2 in the DOM.
Translation tools integrated into browsers (Google Translate, DeepL) only translate HTML text. An image containing text remains fixed in its original language, creating a disruption in experience for foreign users. This is a signal of degraded UX that Google can detect through behavioral metrics.
- HTML text is immediately indexable without costly and uncertain OCR processing
- Structuring elements (H1, H2, menus) must remain in HTML to preserve internal linking and semantic understanding
- Accessibility and automatic translation require native text that can be leveraged by assistive technologies and translation engines
- Google's OCR works but remains a backup solution with a non-negligible error rate on certain fonts or image compressions
- Direct SEO impact: loss of semantic signal, dilution of internal PageRank, increased indexing latency
SEO Expert opinion
Is this statement consistent with observed practices on the ground?
Absolutely. I have audited dozens of e-commerce sites where entire categories were named via banner images without HTML text backup. The result: these pages lost up to 40% of their organic visibility compared to structurally identical pages with native text.
Despite Google's OCR capabilities, algorithmic prioritization remains brutally biased towards immediately exploitable text. An H1 title in HTML carries infinitely more weight than a title detected by OCR in an image, even if both strictly say the same thing. It's a matter of processing cost and signal reliability.
In what cases can this rule be nuanced?
Let's be honest: some graphical elements need to be embedded in images for design reasons or technical constraints. Logos, complex infographics, and annotated diagrams are part of this. The challenge here is to distinguish between decorative text and structuring text.
If you have a logo containing your brand's name, no one is asking you to duplicate it in visible text. However, ensure that this name appears elsewhere in the DOM: title tag, H1, paragraph text, internal link anchors. A logo alone is never enough to establish a page's topicality. [To be verified]: Google asserts that its OCR performs well on quality images, but field tests show that indexing latency remains real, especially on sites with low crawl budget.
What are the most frequent technical pitfalls?
The classic case: developers who replace HTML titles with images for reasons of custom web fonts or pixel-perfect typographic precision. This is a massive strategic error. Nowadays, with @font-face, Google Fonts, and modern CSS techniques, there is no valid justification for sacrificing an H1 for the sake of an image.
Another pitfall: JavaScript frameworks that generate dynamic canvases to display text with visual effects. Text rendered in a canvas is invisible to crawlers, even if it is technically generated via code. If you absolutely need to use a canvas, duplicate the textual content in an accessible tag via aria-label or a visually hidden but readable element for screen readers and bots.
text-indent: -9999px;) to hide HTML text behind an image are detected as cloaking or spam. Google may penalize these practices if they are systematic.Practical impact and recommendations
What should you prioritize auditing on your site?
Start with a Screaming Frog or Oncrawl crawl extracting IMG tags containing suspicious alt attributes. Look for patterns like "menu", "navigation", "title", "heading" in file names or alts. These images are immediate red flags.
Next, analyze your strategic page templates: product sheets, categories, SEO landing pages. Ensure that every visible title on screen corresponds to a H1, H2, or H3 tag in the source code. If you see an image where a title should appear, it’s an urgent project to initiate.
How can you fix these errors without breaking design?
The standard technical solution: modern CSS image replacement. You keep your structured HTML text in the DOM, and apply a background image via CSS for visual styling. The HTML text remains accessible to engines and screen readers, but the user sees your graphical design.
An even cleaner alternative: use inline SVGs with vector text. SVGs are indexable by Google, the text remains selectable and translatable, and you maintain perfect graphic quality regardless of zoom or screen resolution. This is the solution I recommend for 90% of use cases.
What mistakes should you absolutely avoid during migration?
Never replace an image containing text with an empty alt thinking it solves the problem. The alt does not replace an HTML title; it complements an image. If your H1 was in an image, create a real H1 in the DOM and relegate the image to a purely decorative role with alt="" and role="presentation".
Another classic mistake: migrating the text to HTML but making it invisible via CSS (display:none, visibility:hidden) thinking it preserves design. Google detects this pattern and may consider it an attempt at manipulation. If you must visually hide text, use standard accessibility techniques (absolute positioning off-viewport, clip-path) and ensure that visible text on screen corresponds to the HTML content.
- Crawl the site to identify all images containing structuring text (titles, menus, navigation elements)
- Replace title images with H1/H2/H3 tags styled with CSS or inline SVGs
- Ensure navigation menus use
<ul><li>lists with HTML links, not image maps - Test accessibility with a screen reader (NVDA, JAWS) to ensure that content remains understandable
- Validate that automatic translation tools (Google Translate integrated in the browser) properly translate all critical textual elements
- Monitor indexing post-migration via Google Search Console to detect any negative impact
❓ Frequently Asked Questions
Google peut-il vraiment indexer le texte contenu dans les images ?
Les attributs alt suffisent-ils à compenser un titre intégré dans une image ?
Peut-on utiliser du texte en CSS background-image sans risque SEO ?
Les SVG avec texte vectoriel sont-ils considérés comme du texte HTML par Google ?
Que faire si mon CMS génère automatiquement des titres en images ?
🎥 From the same video 15
Other SEO insights extracted from this same Google Search Central video · published on 10/02/2021
🎥 Watch the full video on YouTube →
💬 Comments (0)
Be the first to comment.