Free Optimization Software Tools
Lightweight, serverless tools designed by our engineering group to help optimize copy, inspect tags, and calculate page layout metrics.
Calculators and Analyzers for Writers & Developers
At Trendzza, we structure tool systems to operate with absolute responsiveness. Rather than routing input text back to database instances and incurring delays, our applications calculate reading grades, keyword n-grams, and character arrays completely on the user client side. This protects document privacy and runs calculations in milliseconds.
These tools are built using lightweight browser API hooks, meaning they function without cookies or tracking parameters. Feel free to copy, paste, and inspect files without leaving a footprint.
Word Counter
Calculate words, character patterns, sentence arrays, and paragraph breaks. Our advanced analyzer automatically grades reading levels using the Automated Readability Index (ARI), computes reading/speaking rates, highlights sentence flow distribution, and lists keyword unigrams, bigrams, and trigrams.
Background Remover
Private AIRemove image backgrounds with an ONNX model running entirely inside your browser. Your original image never uploads to Trendzza or any third-party image service.
SEO Audit
AdvancedCrawl up to 25 pages and receive prioritized technical SEO, on-page, schema, AEO, GEO/AIO, mobile and performance findings without a third-party API.
Frequently Asked Questions
Are my pasted texts secure?
Yes. Our Free Tools suite is programmed to calculate all metrics locally inside your browser's sandboxed environment. No documents, paragraphs, or credentials are sent to our server or database models, ensuring absolute user security.
Can I calculate reading levels for non-English texts?
The Automated Readability Index (ARI) utilizes standard character-to-word and word-to-sentence ratios optimized for English syntax. While the word/character counters will operate accurately on any language, the readability grade targets English documents.
What is keyword n-gram density?
It classifies keyword density into unigrams (individual words), bigrams (2-word phrases), and trigrams (3-word phrases). This helps identify repetitive content patterns and structural issues that could cause search engines to flag a text as spam.