Tools & Wizards About Us
vernacular.ai screenshot

Report Summary

  • 15

    Performance

    Renders faster than
    27% of other websites

  • 67

    Accessibility

    Visual factors better than
    that of 32% of websites

  • 75

    Best Practices

    More advanced features
    available than in
    35% of websites

  • 79

    SEO

    Google-friendlier than
    40% of websites

vernacular.ai

Skit.ai I Conversational Voice AI for Debt Collections

Page Load Speed

8.6 sec in total

First Response

409 ms

Resources Loaded

7.4 sec

Page Rendered

765 ms

vernacular.ai screenshot

About Website

Welcome to vernacular.ai homepage info - get ready to check Vernacular best content for India right away, or after learning these important things about vernacular.ai

Skit.ai is the leading Conversational Voice AI solution provider in the ARM industry, empowering collection agencies to streamline and accelerate revenue recovery.6:18Also on weblink - Skit.ai I Conve...

Visit vernacular.ai

Key Findings

We analyzed Vernacular.ai page load time and found that the first response time was 409 ms and then it took 8.2 sec to load all DOM resources and completely render a web page. This is a poor result, as 85% of websites can load faster.

Performance Metrics

vernacular.ai performance score

15

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value6.8 s

1/100

10%

LCP (Largest Contentful Paint)

Value38.1 s

0/100

25%

SI (Speed Index)

Value64.0 s

0/100

10%

TBT (Total Blocking Time)

Value91,860 ms

0/100

30%

CLS (Cumulative Layout Shift)

Value0

100/100

15%

TTI (Time to Interactive)

Value119.8 s

0/100

10%

Network Requests Diagram

vernacular.ai

409 ms

skit.ai

385 ms

skit.ai

1194 ms

wp-emoji-release.min.js

200 ms

style.min.css

417 ms

Our browser made a total of 101 requests to load all elements on the main page. We found that 1% of them (1 request) were addressed to the original Vernacular.ai, 48% (48 requests) were made to Skit.ai and 10% (10 requests) were made to Fonts.gstatic.com. The less responsive or slowest element that took the longest time to load (3.7 sec) relates to the external source S3-website-assets.s3.amazonaws.com.

Page Optimization Overview & Recommendations

Page size can be reduced by 1.3 MB (17%)

Content Size

7.9 MB

After Optimization

6.6 MB

  • HTML
  • Images
  • JavaScript
  • CSS

In fact, the total size of Vernacular.ai main page is 7.9 MB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 80% of websites need less resources to load and that’s why Accessify’s recommendations for optimization and resource minification can be helpful for this project. Images take 7.3 MB which makes up the majority of the site volume.

HTML Optimization

-81%

Potential reduce by 68.3 kB

  • Original 84.8 kB
  • After minification 67.1 kB
  • After compression 16.5 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. This page needs HTML code to be minified as it can gain 17.7 kB, which is 21% of the original size. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 68.3 kB or 81% of the original size.

Image Optimization

-17%

Potential reduce by 1.3 MB

  • Original 7.3 MB
  • After minification 6.1 MB

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, Vernacular needs image optimization as it can save up to 1.3 MB or 17% of the original volume. The most popular and efficient tools for JPEG and PNG image optimization are Jpegoptim and PNG Crush.

JavaScript Optimization

-0%

Potential reduce by 745 B

  • Original 379.4 kB
  • After minification 379.3 kB
  • After compression 378.7 kB

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. This website has mostly compressed JavaScripts.

CSS Optimization

-4%

Potential reduce by 5.6 kB

  • Original 137.9 kB
  • After minification 137.9 kB
  • After compression 132.4 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. Vernacular.ai has all CSS files already compressed.

Requests Breakdown

Number of requests can be reduced by 59 (67%)

Requests Now

88

After Optimization

29

  • AJAX
  • Images
  • JavaScript
  • CSS

The browser has sent 88 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Vernacular. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 44 to 1 for JavaScripts and from 17 to 1 for CSS and as a result speed up the page load time.

Network Requests Diagram

vernacular.ai

vernacular.ai

409 ms

skit.ai

skit.ai

385 ms

skit.ai

skit.ai

1194 ms

wp-emoji-release.min.js

wp-emoji-release.min.js

200 ms

style.min.css

style.min.css

417 ms

styles.css

styles.css

612 ms

wpcf7-redirect-frontend.min.css

wpcf7-redirect-frontend.min.css

793 ms

search-filter.min.css

search-filter.min.css

788 ms

css2

css2

82 ms

swiper-bundle.min.css

swiper-bundle.min.css

359 ms

aos.css

aos.css

394 ms

main.css

main.css

986 ms

ekiticons.css

ekiticons.css

796 ms

elementor-icons.min.css

elementor-icons.min.css

808 ms

frontend-lite.min.css

frontend-lite.min.css

823 ms

post-3250.css

post-3250.css

971 ms

global.css

global.css

973 ms

addtoany.min.css

addtoany.min.css

981 ms

widget-styles.css

widget-styles.css

1364 ms

responsive.css

responsive.css

999 ms

css

css

114 ms

page.js

page.js

154 ms

jquery.min.js

jquery.min.js

1331 ms

jquery-migrate.min.js

jquery-migrate.min.js

1144 ms

addtoany.min.js

addtoany.min.js

1150 ms

search-filter-build.min.js

search-filter-build.min.js

1166 ms

chosen.jquery.min.js

chosen.jquery.min.js

1167 ms

6939121.js

6939121.js

155 ms

regenerator-runtime.min.js

regenerator-runtime.min.js

1328 ms

wp-polyfill.min.js

wp-polyfill.min.js

1336 ms

index.js

index.js

1969 ms

6939121.js

6939121.js

183 ms

wpcf7r-fe.js

wpcf7r-fe.js

1967 ms

core.min.js

core.min.js

1968 ms

datepicker.min.js

datepicker.min.js

1977 ms

E-v1.js

E-v1.js

113 ms

jquery-3.6.0.min.js

jquery-3.6.0.min.js

161 ms

modernizr-3.5.0.min.js

modernizr-3.5.0.min.js

1975 ms

jquery.min.js

jquery.min.js

351 ms

swiper-bundle.min.js

swiper-bundle.min.js

362 ms

gsap.min.js

gsap.min.js

344 ms

ScrollTrigger.min.js

ScrollTrigger.min.js

342 ms

lottie.min.js

lottie.min.js

343 ms

aos.js

aos.js

366 ms

main.js

main.js

1968 ms

chat.js

chat.js

1968 ms

index.js

index.js

1969 ms

frontend-script.js

frontend-script.js

1996 ms

widget-scripts.js

widget-scripts.js

1992 ms

dotlottie-player.js

dotlottie-player.js

54 ms

mhg4hks99ifu.js

mhg4hks99ifu.js

1380 ms

gtm.js

gtm.js

892 ms

work-1.svg

work-1.svg

2613 ms

linkedin.svg

linkedin.svg

1203 ms

twitter.svg

twitter.svg

1229 ms

instagram.svg

instagram.svg

1203 ms

work-2.svg

work-2.svg

2193 ms

work-3.svg

work-3.svg

2531 ms

work-4.svg

work-4.svg

2536 ms

ratan-kesh.jpeg

ratan-kesh.jpeg

2195 ms

image.png

image.png

3205 ms

AVI-Blog-Header-2.jpg

AVI-Blog-Header-2.jpg

3700 ms

skit-logo.svg

skit-logo.svg

1202 ms

skit-logo-big-2.svg

skit-logo-big-2.svg

1199 ms

aug-image.png

aug-image.png

3211 ms

aug-ele-1.png

aug-ele-1.png

1551 ms

aug-ele-2.png

aug-ele-2.png

1551 ms

aug-ele-3.png

aug-ele-3.png

1551 ms

aug-ele-4.png

aug-ele-4.png

1551 ms

solution.png

solution.png

3026 ms

quotation.svg

quotation.svg

2193 ms

wave2.svg

wave2.svg

2000 ms

foo-logo.svg

foo-logo.svg

1982 ms

eso.e18d3993.js

eso.e18d3993.js

702 ms

github.svg

github.svg

1970 ms

xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk59E-_F.ttf

xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk59E-_F.ttf

944 ms

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1263 ms

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1485 ms

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1414 ms

xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk79FO_F.ttf

xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk79FO_F.ttf

1649 ms

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UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuLyfMZg.ttf

1717 ms

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1768 ms

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1768 ms

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1863 ms

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2156 ms

sm.23.html

sm.23.html

592 ms

lug2c8qb1n.json

lug2c8qb1n.json

428 ms

wistia-mux.js

wistia-mux.js

711 ms

collectedforms.js

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1163 ms

6939121.js

6939121.js

1161 ms

6939121.js

6939121.js

1162 ms

fb.js

fb.js

1150 ms

analytics.js

analytics.js

1019 ms

insight.min.js

insight.min.js

1016 ms

js

js

649 ms

flashPlayer.js

flashPlayer.js

294 ms

videoThumbnail.js

videoThumbnail.js

299 ms

collect

collect

40 ms

collect

collect

49 ms

ga-audiences

ga-audiences

65 ms

19 ms

Accessibility Review

vernacular.ai accessibility score

67

Accessibility Issues

ARIA

These are opportunities to improve the usage of ARIA in your application which may enhance the experience for users of assistive technology, like a screen reader.

Impact

Issue

High

[aria-*] attributes do not match their roles

High

[role] values are not valid

Navigation

These are opportunities to improve keyboard navigation in your application.

Impact

Issue

High

Heading elements are not in a sequentially-descending order

Names and labels

These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.

Impact

Issue

High

Image elements do not have [alt] attributes

High

Links do not have a discernible name

High

<object> elements do not have alternate text

Best practices

These items highlight common accessibility best practices.

Impact

Issue

High

[user-scalable="no"] is used in the <meta name="viewport"> element or the [maximum-scale] attribute is less than 5.

Best Practices

vernacular.ai best practices score

75

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

High

Includes front-end JavaScript libraries with known security vulnerabilities

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

Low

Detected JavaScript libraries

High

Browser errors were logged to the console

High

Page has valid source maps

SEO Factors

vernacular.ai SEO score

79

Search Engine Optimization Advices

Content Best Practices

Format your HTML in a way that enables crawlers to better understand your app’s content.

Impact

Issue

High

Links do not have descriptive text

High

Image elements do not have [alt] attributes

Crawling and Indexing

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

Impact

Issue

High

Links are not crawlable

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

    EN

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Vernacular.ai can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Vernacular.ai main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.

Social Sharing Optimization

vernacular.ai

Open Graph data is detected on the main page of Vernacular. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: