Comparison

SiYuan vs BlurHash

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

SiYuan

A privacy-focused personal knowledge management system that allows offline use and encrypted data synchronization. It combines blocks, outlines, and bidirectional links to help users organize and refine their thoughts.

Highlights
  • Privacy-first design
  • Offline data storage
  • End-to-end encrypted sync
  • Block-based organization
  • Outline structuring
  • Bidirectional linking
Features
Read full description

SiYuan is a privacy-first personal knowledge management system that supports complete offline use, as well as end-to-end encrypted data sync. Fuse blocks, outlines, and bidirectional links to refactor your thinking.

About

BlurHash

Features
Read full description

BlurHash is a powerful and easy-to-use app that converts images into efficient BlurHash codes, helping developers, designers, and creators build faster, smoother, and more professional digital experiences. With BlurHash, you can generate lightweight image placeholders instantly, improving loading performance while maintaining visual continuity across apps and websites. Designed for modern workflows, BlurHash allows you to encode images locally on your device without sending any data to external servers. This offline-first approach ensures maximum privacy, security, and speed. Whether you are working on a mobile application, a website, or a UI prototype, BlurHash gives you complete control over image placeholders without compromising performance or data safety. BlurHash makes image encoding simple and efficient. By converting images into compact text-based BlurHash strings, you can display beautiful blurred previews while full images load in the background. This technique reduces perceived loading time, improves user experience, and minimizes bandwidth usage, especially on slower connections or limited networks. The app supports popular image formats such as JPEG and PNG, ensuring compatibility with most projects. You can preview the original image alongside its generated BlurHash in real time, allowing you to verify accuracy instantly. Advanced encoding options let you fine-tune output settings to match your design or technical requirements, making BlurHash suitable for both beginners and professionals. BlurHash is optimized for speed and performance, capable of handling large images smoothly without lag. Its clean and intuitive interface keeps your workflow focused and distraction-free, allowing you to generate BlurHash codes in seconds. No internet connection is required, making it ideal for offline work, travel, or secure environments. This app is perfect for app developers who want faster image loading and improved UI performance, web developers looking to reduce page load times, UI and UX designers seeking modern placeholder solutions, and content creators who want efficient image processing tools. BlurHash eliminates the need for third-party services by offering a fully local and secure solution. By integrating BlurHash into your workflow, you save time, enhance user experience, and optimize app performance. The app is built to support progressive image loading techniques widely used in modern app development and web design. BlurHash includes features such as offline image processing, secure local encoding, real-time previews, customizable parameters, multi-format support, and high-performance optimization. It is a reliable image-to-code converter designed for developers, designers, and anyone working with digital images. Keywords integrated for discoverability include BlurHash generator, image encoding, image optimization, offline image tool, image to code converter, placeholder image tool, progressive image loading, secure image encoder, lightweight image placeholders, developer tools, UI UX tools, web design tools, and app development utilities. Terms of Use: https://sites.google.com/view/sports-news-apps1/terms-of-use-eula

Screenshots

SiYuan4 screens
BlurHash4 screens

Verdict

The call

The clearest difference is update cadence: SiYuan at weekly against BlurHash's every 14 months. On price, ads, in-app purchases and device support there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. SiYuan sells 2 one-off in-app purchases and BlurHash sells 5 in-app purchases, starting at $0.99 per 7 days. Whichever you choose, the download price is not the number that matters.

UpkeepUpdate frequency

SiYuan ships an update weekly, BlurHash every 14 months. The most recent releases landed on October 24, 2026 and October 19, 2026 respectively.

Scorecard1 real difference · 9 level
SiYuan versus BlurHash: the parameters behind the verdict, then further details
ParameterSiYuanBlurHash
PriceFreeFree
Rating3.9 (30 ratings) — better—
Positive reviews66.7% of reviews—
Number of ratings30 — better—
Update frequencyWeekly — betterEvery 14 months
AdsNoNo
In-app purchasesYesYes
MonetizationFree with in-app purchases—
DevicesiPhone, iPadiPhone, iPad
Requires iOS17.017.0
Further details — not scored
Size434 MB17 MB
Age rating17+4+
DeveloperYunnan Liandi Technology Co., Ltd.Farouk Nasser

In-app purchases

2 purchases

SiYuan

One-time2
  • PRO Features$79.99
  • Subscription$188.99
5 purchases

BlurHash

Subscriptions5
  • Premium Weekly$0.997 Days
  • Premium Monthly$2.991 Month
  • Weekly Pro Access$3.997 Days
Show 2 more
  • Premium Yearly$9.991 Year
  • Monthly Pro Access$9.991 Month

Questions

Is SiYuan free?
SiYuan is free to download, with in-app purchases available.
Is BlurHash free?
BlurHash is free to download, with in-app purchases available.
Do SiYuan or BlurHash have ads?
Neither SiYuan nor BlurHash shows ads.
Which is updated more often, SiYuan or BlurHash?
SiYuan ships an update weekly, and BlurHash every 14 months. Most recently, SiYuan was updated on October 24, 2026 and BlurHash on October 19, 2026.

Other comparisons