Free AI Tools to Get More Done
AllyHub's AI tools are built for monitoring, research, analysis, and content creation — saving you time on every task, getting smarter the more you use them.

Amazon Seller Scraper
Amazon shows a shop name and a star rating. Before you buy from, stock, or report that seller, AllyHub gets the record behind it.

Amazon Sentiment Analysis Tool
Two products, the same 4.4 stars, and one of them is quietly in trouble — put sentiment on a scale that tells them apart.

TikTok Profile Scraper
Hand AllyHub a list of TikTok accounts and get every public profile back as one clean, sortable dataset — no bio-by-bio tapping.

Amazon Product Description Generator
Give it the product facts you already have and get back a finished first draft of your product description.

Amazon Listing Optimizer
Your listing stalled for reasons you can't see. AllyHub names them — worst first — and hands you the copy that closes each one.

Amazon Package Dimensions
Enter your package's dimensions and weight, and find out which Amazon size tier it lands in and what fulfillment will cost.

Amazon Bestsellers Scraper
A ranking page shows you where every product stands today, then resets the moment you close the tab. Take the ranking with you instead.

Amazon Niche Finder
Tell AllyHub what you know or where you'd compete, and get back the niches with buyers waiting and rivals thin on the ground.

Amazon Book Scraper
Know which edition you're actually looking at, and where it really ranks, before you price or buy.

YouTube Transcript Extractor
Get the words a video actually said — punctuated, timestamped, and ready to quote, for one upload or a whole back catalogue.

Amazon Review Summarizer
Read less, understand more: AllyHub's Amazon review summarizer distills hundreds of customer reviews into the top pros, recurring complaints, standout quotes, and the objections that stall a purchase.

TripAdvisor Data Scraper
A TripAdvisor page publishes more than a star average. AllyHub returns the parts that average hides, with the date the rank was read.
