.tb-button{color:#f1f1f1}.tb-button--left{text-align:left}.tb-button--center{text-align:center}.tb-button--right{text-align:right}.tb-button__link{color:inherit;cursor:pointer;display:inline-block;line-height:100%;text-decoration:none !important;text-align:center;transition:all 0.3s ease}.tb-button__link:hover,.tb-button__link:focus,.tb-button__link:visited{color:inherit}.tb-button__link:hover .tb-button__content,.tb-button__link:focus .tb-button__content,.tb-button__link:visited .tb-button__content{font-family:inherit;font-style:inherit;font-weight:inherit;letter-spacing:inherit;text-decoration:inherit;text-shadow:inherit;text-transform:inherit}.tb-button__content{vertical-align:middle;transition:all 0.3s ease}.tb-button__icon{transition:all 0.3s ease;display:inline-block;vertical-align:middle;font-style:normal !important}.tb-button__icon::before{content:attr(data-font-code);font-weight:normal !important}.tb-button__link{background-color:#444;border-radius:0.3em;font-size:1.3em;margin-bottom:0.76em;padding:0.55em 1.5em 0.55em} .tb-button[data-toolset-blocks-button="b9b723bfef18b2ff246ee15b32a55a88"] { text-align: center; } .tb-button[data-toolset-blocks-button="b9b723bfef18b2ff246ee15b32a55a88"] .tb-button__link { background-color: rgba( 255, 74, 50, 1 );color: rgba( 255, 255, 255, 1 );box-shadow: 0 3px 3px 1px rgba( 0, 0, 0, 0.38 );color: rgba( 255, 255, 255, 1 ); } .tb-button[data-toolset-blocks-button="b9b723bfef18b2ff246ee15b32a55a88"] .tb-button__link:hover { background-color: rgba( 0, 0, 0, 1 );color: rgba( 255, 255, 255, 1 );color: rgba( 255, 255, 255, 1 ); } .tb-button[data-toolset-blocks-button="b9b723bfef18b2ff246ee15b32a55a88"] .tb-button__icon { font-family: FontAwesome;margin-right: 9px; } .tb-button[data-toolset-blocks-button="b9b723bfef18b2ff246ee15b32a55a88"] .tb-button__icon::before { content: '\f08e'; } .tb-button{color:#f1f1f1}.tb-button--left{text-align:left}.tb-button--center{text-align:center}.tb-button--right{text-align:right}.tb-button__link{color:inherit;cursor:pointer;display:inline-block;line-height:100%;text-decoration:none !important;text-align:center;transition:all 0.3s ease}.tb-button__link:hover,.tb-button__link:focus,.tb-button__link:visited{color:inherit}.tb-button__link:hover .tb-button__content,.tb-button__link:focus .tb-button__content,.tb-button__link:visited .tb-button__content{font-family:inherit;font-style:inherit;font-weight:inherit;letter-spacing:inherit;text-decoration:inherit;text-shadow:inherit;text-transform:inherit}.tb-button__content{vertical-align:middle;transition:all 0.3s ease}.tb-button__icon{transition:all 0.3s ease;display:inline-block;vertical-align:middle;font-style:normal !important}.tb-button__icon::before{content:attr(data-font-code);font-weight:normal !important}.tb-button__link{background-color:#444;border-radius:0.3em;font-size:1.3em;margin-bottom:0.76em;padding:0.55em 1.5em 0.55em} .tb-button[data-toolset-blocks-button="d382d2ea11b2338e6c68585bc80e378b"] { text-align: center; } .tb-button[data-toolset-blocks-button="d382d2ea11b2338e6c68585bc80e378b"] .tb-button__link { background-color: rgba( 255, 74, 50, 1 );color: rgba( 255, 255, 255, 1 );box-shadow: 0 3px 3px 1px rgba( 0, 0, 0, 0.38 );color: rgba( 255, 255, 255, 1 ); } .tb-button[data-toolset-blocks-button="d382d2ea11b2338e6c68585bc80e378b"] .tb-button__link:hover { background-color: rgba( 0, 0, 0, 1 );color: rgba( 255, 255, 255, 1 );color: rgba( 255, 255, 255, 1 ); } .tb-button[data-toolset-blocks-button="d382d2ea11b2338e6c68585bc80e378b"] .tb-button__icon { font-family: FontAwesome;margin-right: 9px; } .tb-button[data-toolset-blocks-button="d382d2ea11b2338e6c68585bc80e378b"] .tb-button__icon::before { content: '\f08e'; } @media only screen and (max-width: 781px) { .tb-button{color:#f1f1f1}.tb-button--left{text-align:left}.tb-button--center{text-align:center}.tb-button--right{text-align:right}.tb-button__link{color:inherit;cursor:pointer;display:inline-block;line-height:100%;text-decoration:none !important;text-align:center;transition:all 0.3s ease}.tb-button__link:hover,.tb-button__link:focus,.tb-button__link:visited{color:inherit}.tb-button__link:hover .tb-button__content,.tb-button__link:focus .tb-button__content,.tb-button__link:visited .tb-button__content{font-family:inherit;font-style:inherit;font-weight:inherit;letter-spacing:inherit;text-decoration:inherit;text-shadow:inherit;text-transform:inherit}.tb-button__content{vertical-align:middle;transition:all 0.3s ease}.tb-button__icon{transition:all 0.3s ease;display:inline-block;vertical-align:middle;font-style:normal !important}.tb-button__icon::before{content:attr(data-font-code);font-weight:normal !important}.tb-button__link{background-color:#444;border-radius:0.3em;font-size:1.3em;margin-bottom:0.76em;padding:0.55em 1.5em 0.55em}.tb-button{color:#f1f1f1}.tb-button--left{text-align:left}.tb-button--center{text-align:center}.tb-button--right{text-align:right}.tb-button__link{color:inherit;cursor:pointer;display:inline-block;line-height:100%;text-decoration:none !important;text-align:center;transition:all 0.3s ease}.tb-button__link:hover,.tb-button__link:focus,.tb-button__link:visited{color:inherit}.tb-button__link:hover .tb-button__content,.tb-button__link:focus .tb-button__content,.tb-button__link:visited .tb-button__content{font-family:inherit;font-style:inherit;font-weight:inherit;letter-spacing:inherit;text-decoration:inherit;text-shadow:inherit;text-transform:inherit}.tb-button__content{vertical-align:middle;transition:all 0.3s ease}.tb-button__icon{transition:all 0.3s ease;display:inline-block;vertical-align:middle;font-style:normal !important}.tb-button__icon::before{content:attr(data-font-code);font-weight:normal !important}.tb-button__link{background-color:#444;border-radius:0.3em;font-size:1.3em;margin-bottom:0.76em;padding:0.55em 1.5em 0.55em} } @media only screen and (max-width: 599px) { .tb-button{color:#f1f1f1}.tb-button--left{text-align:left}.tb-button--center{text-align:center}.tb-button--right{text-align:right}.tb-button__link{color:inherit;cursor:pointer;display:inline-block;line-height:100%;text-decoration:none !important;text-align:center;transition:all 0.3s ease}.tb-button__link:hover,.tb-button__link:focus,.tb-button__link:visited{color:inherit}.tb-button__link:hover .tb-button__content,.tb-button__link:focus .tb-button__content,.tb-button__link:visited .tb-button__content{font-family:inherit;font-style:inherit;font-weight:inherit;letter-spacing:inherit;text-decoration:inherit;text-shadow:inherit;text-transform:inherit}.tb-button__content{vertical-align:middle;transition:all 0.3s ease}.tb-button__icon{transition:all 0.3s ease;display:inline-block;vertical-align:middle;font-style:normal !important}.tb-button__icon::before{content:attr(data-font-code);font-weight:normal !important}.tb-button__link{background-color:#444;border-radius:0.3em;font-size:1.3em;margin-bottom:0.76em;padding:0.55em 1.5em 0.55em}.tb-button{color:#f1f1f1}.tb-button--left{text-align:left}.tb-button--center{text-align:center}.tb-button--right{text-align:right}.tb-button__link{color:inherit;cursor:pointer;display:inline-block;line-height:100%;text-decoration:none !important;text-align:center;transition:all 0.3s ease}.tb-button__link:hover,.tb-button__link:focus,.tb-button__link:visited{color:inherit}.tb-button__link:hover .tb-button__content,.tb-button__link:focus .tb-button__content,.tb-button__link:visited .tb-button__content{font-family:inherit;font-style:inherit;font-weight:inherit;letter-spacing:inherit;text-decoration:inherit;text-shadow:inherit;text-transform:inherit}.tb-button__content{vertical-align:middle;transition:all 0.3s ease}.tb-button__icon{transition:all 0.3s ease;display:inline-block;vertical-align:middle;font-style:normal !important}.tb-button__icon::before{content:attr(data-font-code);font-weight:normal !important}.tb-button__link{background-color:#444;border-radius:0.3em;font-size:1.3em;margin-bottom:0.76em;padding:0.55em 1.5em 0.55em} } 
The main difference between Easy-Peasy.AI and Kafkai is that Easy-Peasy.AI offers a free plan but Kafkai does not offer this.
In this versus, we compare Easy-Peasy.AI vs Kafkai in-depth to help you choose one of them. If you want to know more details, we recommend you to read our Easy-Peasy.AI review and Kafkai review .
However, you can also directly find the Best AI content generator , we list them by ranking (based on our review rating), you can find all the comparisons we made and we explain how you should choose the proper one.
Here is what we will talk about in the rest of this article:
Quick overview
Easy-Peasy.AI vs Kafkai at a Glance
To make your choice quick and efficient, here is a short summary about our comparison of Kafkai vs Easy-Peasy.AI. Find out their ratings, features, prices and then discover the winner of the versus.
Pros and Cons comparison
In this Easy-Peasy.AI review, you’ll find more information about its features, pricing, pros and cons and why you …
In this Kafkai review, you’ll find more information about its features, pricing, pros and cons and why you should …
Specifications comparison Details Easy-Peasy.AI Kafkai Features AI Content Generator / AI Content Writer / AI Image Generator / AI Text to Image Generator / AI Writing Assistance / Audio Transcriptions / Chat with AI / Templates library AI Content Generator / Automatic Content Generation / Multilingual Support / Multimedia Storage / Niches / Proofreading and Editing / Real-Time Feedback / SEO Optimized Content / SEO writing assistant / Support Multiple Devices / Voice and Tone Customization Best suited for Individuals, Freelancers, Small businesses, Mid size businesses, Large enterprises Individuals, Freelancers, Small businesses, Mid size businesses, Large enterprises Website languages Multilingual English Website URL Visit official website Visit official website Support link Support page Support page Support email support@kafkai.com Live chat Yes Yes Company address 18 Cross Street, #02-101 , Singapore, 048423, SG Taito-ku, Tokyo, JAPAN Year founded 2022 2021
Pricing comparison
Compare the price between Easy-Peasy.AI vs Kafkai
Find out which software has the best valuable pricing, which one offers a free trial and money back guarantee.
Pricing comparison Easy-Peasy.AI Kafkai Pricing range From $8 to $16.5 per month From $1 to $129 per month Pricing types Annual subscription / Monthly subscription Monthly subscription Free plan Yes No Free trial No No Money back guarantee Yes, 30 days Yes, 3 days Pricing page link See plans See plans
Easy-Peasy.AI Pricing details Step into the flexible pricing plans of Easy-Peasy.AI, where affordability meets functionality. With options ranging from a cost-free plan to more comprehensive subscriptions priced up to $16.5 per month, there’s a solution tailored to fit every budget and requirement.
Uncover the value each plan offers, and choose one that aligns with your content creation needs, ensuring you get the best tools without breaking the bank.
Easy-Peasy.AI offers three main pricing plans:
Free Plan :
$0 per month
Includes 2,000 words, 5 image credits, 2 audio transcriptions, and 1,000 characters of Text-to-Speech.
Access to 170+ templates.
No credit card required.
Unlimited GPT-3.5 Plan :
$8 per month or $96 annually (saving 40% with annual billing).
Unlimited usage of GPT-4o mini, 25,000 words for GPT-4, 150 image credits, 20 audio transcriptions, and 10,000 characters of Text-to-Speech.
Access to 290+ templates in 35+ languages.
Unlimited Plan :
$16.5 per month or $198 annually (saving 40% with annual billing).
Includes unlimited usage of GPT-4o mini, 100,000 words for GPT-4, 350 image credits, unlimited audio transcriptions, and 30,000 characters of Text-to-Speech.
Provides API access, priority support, and access to new features.
Kafkai Pricing details Step into the world of effortless content creation with Kafkai’s flexible pricing plans, designed to fit every need and budget. Whether you’re a casual blogger or a content marketing pro, there’s a plan for you.
With options ranging from as low as $1/month for beginners to $129/month for heavy-duty users, Kafkai makes high-quality, AI-generated content accessible to all.
Preview Plan :
Price : $1/monthFeatures :
10 Monthly Articles
39 Niches
14 Languages
Hobbyist Plan :
Price : $9/monthFeatures :
50 Monthly Articles
39 Niches
14 Languages
Writer Plan :
Price : $29/monthFeatures :
100 Monthly Articles
39 Niches
14 Languages
Blogger Plan :
Price : $49/monthFeatures :
200 Monthly Articles
39 Niches
14 Languages
Professional Plan :
Price : $129/monthFeatures :
1000 Monthly Articles
39 Niches
14 Languages
Note : Prices do not include tax.
