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ebookcompressor
Quiet
#414 Radar 52

Compresses EPUB ebook file sizes with adjustable settings and batch processing.

Desktop Screenshot
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Product memo

Ebookcompressor provides an online utility for ebook creators and readers to reduce EPUB file sizes. It offers adjustable compression levels and batch processing, allowing users to balance file size with quality for various e-reader needs. The tool carves out a niche by focusing solely on EPUBs, simplifying the compression workflow for a specific audience.

For who
Ebook creators and readers
Solves what
Reduces ebook file sizes for easier storage and transfer.
  • Online EPUB compression
  • Adjustable compression levels
  • Batch file processing

Commercial cues

Model
usage based
Free tier
No
Trial
No

Pricing strategy

  • Tiered credit bundles offer volume discounts, encouraging larger purchases.
  • Listed plans make pricing easy to compare.

Operator & company

Company

Team

Indie / lean

Founded

Dec 2023

HQ

France

Operating model

Business model

Usage Based

Platform

Web app

Audience

Creators

Payments

Stripe

Builder strategy

ProvenRadar analysis

Strategy Type
Niche Specialist
Stage
Bootstrapped Lean
Effort
Solo Buildable

Market demand

ebookcompressor keyword demand

4 keywords

Upgrade to Starter

Market demand is Starter-tier market intelligence.

Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.

In their own words

Reduce your ebook file size

EPUB, file size up to 1GB

About ebookcompressor Expand

Ebookcompressor offers an online utility designed specifically for ebook creators and readers who need to reduce the file size of their EPUBs. The tool provides adjustable compression levels and batch processing, allowing users to efficiently manage their ebook collections while maintaining readability.

Its focused approach on EPUBs addresses a common pain point for digital content creators and consumers, making it easier to store, share, and download ebooks. The service operates on a credit-based system, where each download consumes one credit, providing a clear, usage-based pricing model.