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Official statement

Google does not take into account the text contained in images for SEO. It is advisable to use alternative text ('alt') to describe the image and help Google understand the content of the page.
11:44
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Extracted from a Google Search Central video

⏱ 1h04 💬 EN 📅 09/05/2014 ✂ 25 statements
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Other statements from this video 24
  1. 3:13 404 ou 410 : quelle erreur HTTP choisir pour accélérer la désindexation d'une URL ?
  2. 5:13 Google supporte-t-il vraiment la directive crawl-delay dans robots.txt ?
  3. 5:17 Pourquoi Google ignore-t-il la directive crawl-delay dans robots.txt ?
  4. 7:52 Comment écrire rel=nofollow sans risquer d'être ignoré par Google ?
  5. 8:54 Comment Google gère-t-il vraiment l'indexation des URLs avec paramètres ?
  6. 9:12 La balise canonique évite-t-elle vraiment l'indexation des URLs à paramètres ?
  7. 11:57 Pourquoi Google peine-t-il à lire le texte intégré dans vos images ?
  8. 15:17 Le fichier disavow agit-il vraiment au moment du crawl ou plus tard ?
  9. 15:17 Le cache Google révèle-t-il vraiment l'impact de vos backlinks désavoués ?
  10. 18:17 Google privilégie-t-il vraiment le desktop pour le classement des sites responsive ?
  11. 19:58 Faut-il vraiment pointer le mobile vers le desktop avec rel=canonical ?
  12. 20:25 Faut-il vraiment utiliser 'noindex' pour économiser des ressources de crawl ?
  13. 22:14 La pagination affecte-t-elle vraiment l'indexation de vos pages ?
  14. 24:02 Pourquoi vos rich snippets disparaissent-ils du jour au lendemain ?
  15. 24:17 Pourquoi Google refuse-t-il d'afficher vos rich snippets malgré un balisage Schema.org impeccable ?
  16. 28:09 Les communiqués de presse tuent-ils votre stratégie de backlinks ?
  17. 33:26 Faut-il vraiment noindexer toutes les pages de coupons sans offres actives ?
  18. 36:08 Le texte ALT des images influence-t-il vraiment l'indexation et le classement dans Google ?
  19. 37:21 Reformuler des articles de news suffit-il encore pour ranker sur Google ?
  20. 40:58 Faut-il vraiment attendre la prochaine mise à jour Penguin pour sortir d'une pénalité ?
  21. 49:00 Comment Google détecte-t-il qu'une requête nécessite l'affichage de Maps dans les résultats ?
  22. 52:29 Le désaveu de liens protège-t-il vraiment contre le netlinking négatif ?
  23. 56:37 Les mots-clés dans les URLs influencent-ils vraiment le classement Google ?
  24. 62:16 Un site avec quelques pages uniques mais beaucoup de contenu dupliqué risque-t-il une pénalité globale ?
📅
Official statement from (12 years ago)
TL;DR

Google ignores visible text in images for SEO rankings. Only the alt attributes and the page context are considered to understand visual content. Essentially, any strategic information presented solely as image text is lost to the engine, which necessitates a reconsideration of how some key content is presented.

What you need to understand

Why doesn't Google read the text in images?

Mueller's statement confirms that systematic OCR is not applied to conventional crawling. Google technically has the ability to extract text from images (it does this for Google Lens, for example), but this feature is not enabled for organic ranking.

There are two technical reasons for this choice. First, the computational cost would be prohibitive to analyze billions of images daily. Secondly, the text embedded in an image is often decorative, redundant, or out of context, making relevance determination complicated without providing significant gains.

What exactly do we mean by 'text contained in images'?

We are talking about pixelated text, graphically integrated into a JPG, PNG, or WebP file. This includes infographics with quotes, screenshots of tweets, promotional banners with slogans, and data tables transformed into images.

The issue frequently arises with content generated via Canva or design tools where marketing teams export visually rich images without duplicating information in HTML. Google views the image as an opaque block, even if it contains 200 perfectly readable words for a human.

How does Google then understand the visual content of a page?

The engine relies on three main signals. The alt attribute remains the direct communication channel with the crawler. The immediate textual context (paragraphs before/after, captions, section titles) provides semantic clues. Finally, the file name and the image's URL play a secondary but noteworthy role.

Google also uses computer vision models to visually classify images (landscape, product, person), but this analysis does not replace the understanding of written text. It helps confirm the coherence between the alt and the visual content without extracting any fine textual information.

  • Pixelated text in images is ignored for organic ranking, even though Google has OCR technology.
  • The alt attribute is the preferred vector for conveying the meaning of an image to the search engine.
  • The HTML context surrounding the image (captions, adjacent paragraphs) complements the semantic understanding.
  • Text-heavy infographics lose their SEO value if the information is not duplicated in accessible HTML.
  • Google Images uses computer vision for visual classification but does not read embedded text.

SEO Expert opinion

Is this stance consistent with on-the-ground observations?

Yes, and it is actually one of the few statements from Google that perfectly matches empirical tests. Audits consistently show that pages presenting critical content solely in image form (price tables, feature lists) underperform compared to HTML text versions.

A recurring case: e-commerce sites that display size charts or buying guides as JPGs. These pages generate little organic traffic on corresponding informational queries, even though the content directly meets search intent. As soon as the text is pulled into HTML, rankings improve within 2-3 weeks.

Are there exceptions where Google might read image text anyway?

Probably, but no official documentation confirms this. It can be assumed that Google Discover, which favors a mobile- and visually-oriented format, may apply selective OCR analysis to enhance understanding of content. The same goes for Google Lens, which inherently extracts and translates visible text.

Some SEOs report that text-containing logos (for example, "Nike" written in the swoosh) are sometimes associated with the brand without explicit alt text, but this likely falls under visual brand recognition, not generic OCR reading. [To be verified] on documented cases with Search Console data.

What nuances should be added to avoid misinterpretation?

Mueller refers to "classic" SEO, meaning ranking in text search results. This rule does not necessarily apply to Google Images, where visual understanding plays a more significant role, nor to visual featured snippets where Google can occasionally extract content from images.

Another point: saying that Google "does not take into account" does not mean that image text harms SEO. It is simply invisible. If your infographic contains a CTA "Download our guide," Google will not see it, but you will not be penalized for it. The only risk is losing a ranking opportunity on those keywords.

Warning: Web accessibility (WCAG) requires providing textual alternatives for informative images. What Google demands aligns with legal obligations in many jurisdictions. Not duplicating image text in HTML creates a dual problem: SEO + compliance.

Practical impact and recommendations

What should be done practically with images containing text?

The first action: audit the strategic images on the site (homepage, landing pages, product sheets) to identify those that contain informative text not duplicated in HTML. Use a visual crawler or manually browse high-traffic pages.

For each identified text image, there are two options. Either write a comprehensive alt summarizing the key message (limit: 125 characters recommended, but you can go up to 200 if necessary). Or duplicate the text in visible HTML or in a caption <figcaption>, which is preferred for accessibility and SEO.

What mistakes should be avoided at all costs?

Never transform H1/H2 content into decorative images. Some WordPress themes or Shopify templates offer "hero sections" where the main title is a background image with text overlay in CSS. If this text does not exist in HTML, Google loses the strongest signal of the page.

Another frequent trap: call-to-action images without HTML buttons. A CTA "Enjoy -30% until Sunday" embedded in a JPG banner will not be indexed for "promo -30%". Always prefer an HTML button styled with a background-image if aesthetics demand it.

Also avoid generic alts like "image" or "product photo". If your image contains "5 steps to optimize your product sheet," the alt should reflect that precise information, not just "SEO infographic." Precision matters.

How can I check that my images are properly optimized?

Use the Google Search Console, in the "Coverage" or "Pages" section, to see if your key pages are indexed. Then, conduct a test: search on Google for snippets of text present in your images. If they do not appear anywhere in the results (even in exact search within quotes), it is confirmed.

For a more in-depth audit, disable CSS on your critical pages (via DevTools) and check that all essential information remains visible in raw HTML. If entire blocks disappear, it means they are carried solely by images or CSS, making them invisible to Google.

  • Audit the 20 strategic pages to spot images containing informative text not duplicated.
  • Write exhaustive alt attributes (100-200 characters) summarizing the key message of the image.
  • Duplicate long content in visible HTML (or in <figcaption>) from infographics.
  • Convert image titles and CTAs into styled HTML elements to preserve the SEO signal.
  • Test exact search for snippets of image text to check their invisibility in the index.
  • Validate WCAG accessibility as well, since the requirements largely overlap.
This optimization may seem simple in theory, but it requires a partial redesign of content production workflows, especially if marketing teams work with autonomous design tools. Coordination between designers, writers, and developers becomes critical. For sites with a high volume of visual content or complex architectures (multilingual, multisite), support from a specialized SEO agency helps to industrialize these best practices without slowing down editorial production.

❓ Frequently Asked Questions

Google Lens peut lire le texte des images, pourquoi pas le SEO classique ?
Google Lens est un service à la demande, déclenché par l'utilisateur sur une image spécifique. Le coût computationnel est acceptable car limité. Appliquer l'OCR à des milliards d'images crawlées quotidiennement serait disproportionné par rapport au gain de pertinence, d'où la différence de traitement.
Les screenshots de tweets ou posts LinkedIn sont-ils pris en compte par Google ?
Non, ces captures d'écran sont traitées comme des images classiques. Le texte visible pour un humain est invisible pour le moteur. Si le contenu du tweet est stratégique pour ton SEO, intègre une citation HTML ou résume le message dans le paragraphe adjacent.
Faut-il arrêter d'utiliser des infographies pour le SEO ?
Pas du tout. Les infographies génèrent des backlinks, des partages sociaux et améliorent l'engagement. Mais accompagne-les systématiquement d'un résumé HTML (ou d'une transcription complète en accordéon) pour que Google capte l'information textuelle.
Un alt de 300 caractères est-il pénalisant si l'image contient beaucoup de texte ?
Google recommande 125 caractères, mais aucune pénalité n'est documentée pour des alt plus longs. Le risque est la troncature dans certains contextes (lecteurs d'écran, affichage mobile). Si l'image est dense, privilégie un alt synthétique + une légende HTML détaillée.
Les logos avec texte intégré (type wordmark) nécessitent-ils un alt spécifique ?
Oui, même si le logo contient "Acme Corp" en lettres stylisées, l'alt doit indiquer "Logo Acme Corp" ou simplement "Acme Corp". Google reconnaît certaines marques visuellement, mais ne compte pas dessus pour comprendre le contexte de la page.
🏷 Related Topics
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Other SEO insights extracted from this same Google Search Central video · duration 1h04 · published on 09/05/2014

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