Report Summary

  • 61

    Performance

    Renders faster than
    76% of other websites

  • 84

    Accessibility

    Visual factors better than
    that of 57% of websites

  • 92

    Best Practices

    More advanced features
    available than in
    81% of websites

  • 92

    SEO

    Google-friendlier than
    75% of websites

maschinenschreibenlernen.de

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Page Load Speed

3.1 sec in total

First Response

438 ms

Resources Loaded

2.6 sec

Page Rendered

91 ms

maschinenschreibenlernen.de screenshot

About Website

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Key Findings

We analyzed Maschinenschreibenlernen.de page load time and found that the first response time was 438 ms and then it took 2.7 sec to load all DOM resources and completely render a web page. This is a poor result, as 50% of websites can load faster.

Performance Metrics

maschinenschreibenlernen.de performance score

61

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value2.6 s

63/100

10%

LCP (Largest Contentful Paint)

Value2.6 s

87/100

25%

SI (Speed Index)

Value4.4 s

74/100

10%

TBT (Total Blocking Time)

Value760 ms

39/100

30%

CLS (Cumulative Layout Shift)

Value0.192

64/100

15%

TTI (Time to Interactive)

Value8.2 s

41/100

10%

Network Requests Diagram

maschinenschreibenlernen.de

438 ms

index.css

198 ms

cookieconsent.min.js

1612 ms

bg1.jpg

118 ms

logo.jpg

303 ms

Our browser made a total of 13 requests to load all elements on the main page. We found that 85% of them (11 requests) were addressed to the original Maschinenschreibenlernen.de, 15% (2 requests) were made to Cdnjs.cloudflare.com. The less responsive or slowest element that took the longest time to load (1.6 sec) relates to the external source Cdnjs.cloudflare.com.

Page Optimization Overview & Recommendations

Page size can be reduced by 10.8 kB (26%)

Content Size

42.2 kB

After Optimization

31.4 kB

In fact, the total size of Maschinenschreibenlernen.de main page is 42.2 kB. This result falls within a vast category (top 1 000 000) of heavyweight, probably not optimized, and thus slow loading web pages. Only 5% of websites need less resources to load. Images take 32.3 kB which makes up the majority of the site volume.

HTML Optimization

-68%

Potential reduce by 3.4 kB

  • Original 5.0 kB
  • After minification 4.7 kB
  • After compression 1.6 kB

HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 3.4 kB or 68% of the original size.

Image Optimization

-12%

Potential reduce by 4.0 kB

  • Original 32.3 kB
  • After minification 28.3 kB

Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Obviously, Maschinenschreibenlernen needs image optimization as it can save up to 4.0 kB or 12% of the original volume. The most popular and efficient tools for JPEG and PNG image optimization are Jpegoptim and PNG Crush.

CSS Optimization

-70%

Potential reduce by 3.4 kB

  • Original 4.8 kB
  • After minification 4.4 kB
  • After compression 1.5 kB

CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Maschinenschreibenlernen.de needs all CSS files to be minified and compressed as it can save up to 3.4 kB or 70% of the original size.

Requests Breakdown

Number of requests can be reduced by 6 (50%)

Requests Now

12

After Optimization

6

The browser has sent 12 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Maschinenschreibenlernen. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests and as a result speed up the page load time.

Accessibility Review

maschinenschreibenlernen.de accessibility score

84

Accessibility Issues

Contrast

These are opportunities to improve the legibility of your content.

Impact

Issue

High

Background and foreground colors do not have a sufficient contrast ratio.

Internationalization and localization

These are opportunities to improve the interpretation of your content by users in different locales.

Impact

Issue

High

<html> element does not have a [lang] attribute

Best Practices

maschinenschreibenlernen.de best practices score

92

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

Low

Detected JavaScript libraries

SEO Factors

maschinenschreibenlernen.de SEO score

92

Search Engine Optimization Advices

Crawling and Indexing

To appear in search results, crawlers need access to your app.

Impact

Issue

High

robots.txt is not valid

Mobile Friendly

Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).

Impact

Issue

High

Document uses legible font sizes

Language and Encoding

  • Language Detected

    DE

  • Language Claimed

    N/A

  • Encoding

    N/A

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Maschinenschreibenlernen.de can be misinterpreted by Google and other search engines. Our service has detected that German is used on the page, and neither this language nor any other was claimed in <html> or <meta> tags. Our system also found out that Maschinenschreibenlernen.de main page’s claimed encoding is . Changing it to UTF-8 can be a good choice, as this format is commonly used for encoding all over the web and thus their visitors won’t have any troubles with symbol transcription or reading.

Social Sharing Optimization

Open Graph description is not detected on the main page of Maschinenschreibenlernen. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: