Multi-Language Support: Breaking Down Language Barriers

One of the most significant advantages of Akazila over QuillBot's AI Humanizer is its extensive multi-language support. While QuillBot restricts its AI humanization service to English only, Akazila supports humanizing AI-generated text in 11 different languages, making it a truly global solution.

Languages Supported by Akazila:

For example, if you have 2 million credits, you can humanize up to 285 pages assuming each page contains up to 3,000 English characters.

• English - Perfect for native speakers and international communication
• German (Deutsch) - Ideal for European business and academic content
• Spanish (Español) - Supporting the world's second-most spoken language
• French (Français) - Essential for francophone markets and content
• Japanese (日本語) - Catering to the Japanese market and culture
• Chinese Simplified (简体中文) - For mainland China and simplified Chinese users
• Chinese Traditional (繁體中文) - Supporting Taiwan, Hong Kong, and traditional Chinese users
• Italian (Italiano) - Perfect for Italian markets and Mediterranean content
• Portuguese (Português) - Supporting Brazil, Portugal, and lusophone countries
• Arabic (العربية) - Catering to the Middle East and North African markets
• Korean (한국어) - Essential for South Korean business and content creation

Experience multi-language AI humanization at Akazila

Flexible Pay-As-You-Go Model vs Subscription-Based Pricing

The pricing model difference between Akazila and QuillBot represents one of the most compelling reasons to choose our platform. QuillBot requires users to upgrade to premium plans to access their advanced AI humanization features, creating a significant barrier for many users.

Akazila's Cost-Effective Advantage

For example, if you have 2,000,000 credits, you can humanize up to 285 pages assuming each page contains up to 3,000 English characters.

Experience cost-effective AI humanization at Akazila

How do Akazila and QuillBot help content pass AI detection tests?

• Akazila is designed to improve human-likeness scores by targeting dense, AI-looking sentences instead of just swapping synonyms.
• Smart Auto-Expand analyzes Akazila's humanized output based on your input text to detect dense, AI-like sentences that detectors tend to flag.
• Flagged sentences are expanded into more detailed, context-rich, human-style prose while preserving your original meaning.
• You can run Smart Auto-Expand multiple times on the same text until the tone and cadence feel safely human.
• This detection-aware workflow works consistently across all 11 supported languages, while QuillBot's humanizer focuses on English.

How Akazila's Smart Auto-Expand hardens content against AI detectors?

• Analyzes every paragraph for high-density token patterns that resemble raw AI output.
• Expands suspicious sentences with natural connective tissue, examples, and clarifications that humans naturally add.
• Lets users selectively re-expand specific sections instead of regenerating an entire article from scratch.
• Keeps domain knowledge, citations, and technical terminology intact while changing how ideas are expressed.
• Scales from short paragraphs to long-form documents, even across repeated passes, without introducing obvious artifacts.

How does QuillBot approach AI detection?

• QuillBot focuses on general paraphrasing with rewrite modes and limits rather than dense-sentence detection.
• Its workflow can still leave passages that feel algorithmic to modern AI detectors.
• Akazila complements any external detector by proactively rewriting dense sentences first, reducing the chance that checks flag your text.
• Because Akazila's approach is language-agnostic across 11 locales, teams do not need separate tools for different markets.
• Users can pair Akazila's Smart Auto-Expand with any detector they prefer for additional assurance.

Does it store my history / let me access past transformations / allow revisions?

• Akazila stores every humanization request and Smart Auto-Expand action for 100 days with source text, outputs, and timestamps.
• Within those 100 days, you can reopen a request to see both the original input and the humanized output side by side.
• Teams can scan their recent history to understand how wording evolved without exporting or manually archiving results.
• After 100 days entries automatically expire, preventing long-term retention of sensitive drafts.
• QuillBot requires a premium subscription for deeper history access, and it does not clearly document a time-limited retention window like Akazila's 100-day policy.

Which workflows rely on Akazila's history tracking?

• Content teams revisit successful rewrites to keep tone and style consistent across campaigns.
• Students and researchers document how AI-assisted drafts evolved for academic integrity reviews.
• Managers quickly review recent requests when coaching teammates on improving dense AI-style paragraphs.
• Individuals reuse past prompts and outputs as templates instead of starting from scratch each time.

How does automated deletion protect privacy?

• Entries are automatically removed after 100 days without any manual cleanup.
• The fixed window balances accountability—being able to review recent work—with long-term privacy.
• Teams do not need to worry about old drafts lingering indefinitely inside the system.

Review every humanization in Akazila's history for 100 days

Quality and Accuracy Comparison

When it comes to output quality, Akazila consistently delivers superior results compared to QuillBot's AI Humanizer. Our advanced algorithms focus on preserving the original message while enhancing readability and natural flow.

Quality Advantages of Akazila:

• Higher accuracy in maintaining original meaning across all languages
• Better preservation of technical terminology and specialized vocabulary
• More natural sentence flow and paragraph transitions
• Superior handling of complex grammatical structures
• Reduced risk of introducing grammatical errors during humanization
• Better adaptation to different writing styles and formats
• Consistent quality across all supported languages