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⚡ tsecurity.de Intelligence

I stopped using TinyPNG and never looked back — here's why

Here's a scenario most devs know too well: you're building a project for a client, you've got 400+ product images that need compressing before launch, and you find yourself dragging them into some online tool — one that has a 5MB file l…

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Here's a scenario most devs know too well: you're building a project for a client, you've got 400+ product images that need compressing before launch, and you find yourself dragging them into some online tool — one that has a 5MB file limit and is definitely storing those images somewhere on their servers.



I've been there. And then I found FastCompressor. It fixed this workflow so cleanly that I had to write about it.









🔍 The problem with most image compressors



Before we get into why FastCompressor is useful, let's be real about the current options:




TinyPNG, Compressor.io and similar tools — great for one-off images, but they upload your files to a third-party server, throttle bulk use, and aren't built for the scale a developer or designer actually needs.




When you're compressing hundreds of assets for a client — ecommerce product shots, a real estate listing gallery, a news media site — the upload-wait-download loop is a massive time sink. And if those assets are unreleased or confidential? You're taking a real privacy risk.



(Note: Squoosh is a PWA that works offline, but it's still a one-at-a-time tool — not built for bulk workflows.)









⚡ What FastCompressor does differently



FastCompressor is a desktop app (Windows, macOS, Linux) that compresses images entirely on your local machine. No upload. No cloud. No waiting for a server that's simultaneously handling 10,000 other users.



Key features:




  • 🔒 Zero uploads — everything runs on-device, your client's assets never touch a third-party server

  • 📦 True bulk compression — drag an entire folder of hundreds of images and compress them all in seconds

  • 🖼️ JPG, PNG & WebP support — the formats you actually use in web projects

  • 🎚️ Precise quality control — dial in exact quality settings, resize dimensions, and add watermarks

  • 💻 Cross-platform — Windows 10/11, macOS (Intel + Apple Silicon), Ubuntu, Fedora, Arch

  • 💳 One-time upgrade, no subscription — free tier gives you 20 images/session









🆚 FastCompressor vs the alternatives


















































Feature TinyPNG / Compressor.io Squoosh FastCompressor
Files stay on your machine ✗ Uploads to cloud ✓ Local (PWA) ✓ 100% local
Bulk / folder processing ✗ One at a time ✗ One at a time ✓ Hundreds at once
File size limits ✗ 5–20 MB cap ✓ No limit ✓ No limit
Works offline ✗ Requires internet ✓ PWA offline ✓ Fully offline
Pricing Free / subscription Free Free + one-time upgrade
Watermark-free output Sometimes adds watermarks ✓ Clean ✓ Clean


The real differentiator isn't privacy or offline support — it's bulk processing. Squoosh and TinyPNG are genuinely great tools for a single image. FastCompressor is built for the times you have a folder of 500.









🛠️ Real-world use cases for developers






1. Ecommerce builds



You're handing off a Shopify or WooCommerce store. Client has 600 product images, all 4–8 MB each. Drop the folder into FastCompressor, set quality to 82%, and in under a minute you have a folder of optimized images ready to upload. Page speed scores go from 45 to 90+ overnight.






2. Agency client work (NDAs matter)



When you're under NDA, uploading unreleased brand assets to a cloud compressor is a real risk. FastCompressor eliminates that entirely — zero data ever leaves the machine.






3. Design handoffs



Raw Figma or Sketch exports before dropping assets into a Notion doc or shared drive. Running them through FastCompressor is a 30-second habit that saves developers optimization work later.






4. Pre-commit asset pipeline



Fits cleanly into a local pre-commit workflow. Instead of relying on a CI step with rate limits, run it locally before committing assets. Keeps your repo lean without adding cloud dependencies.









💡 Tips to get the most out of it



Quality sweet spot: For JPEGs, 75–85 quality gives you 60–75% file size reduction with no visible loss at standard screen resolutions. For PNGs with transparency, stay above 80.




# Suggested workflow for web projects

1.
Export raw images from Figma / Photoshop
2. Drag entire /assets folder into FastCompressor
3. Set quality: 80 (JPEG) · 85 (PNG) · 75 (WebP)
4. Enable resize if images exceed 2000px wide
5. Output to /assets-optimized
6. Commit optimized folder to repo

Result: 60–80% smaller assets, zero manual effort per file












📥 Getting started



The free version lets you compress 20 images per session — enough to test it on a real project and see the file size difference firsthand. The one-time Pro upgrade unlocks unlimited bulk processing.



Works on: Windows 10 & 11 · macOS (Intel + Apple Silicon) · Ubuntu · Fedora · Arch Linux



👉 Download FastCompressor free — fastcompressor.com









🏁 Final thoughts



The dev tooling space has defaulted to "put everything in the cloud" for years. That's fine for collaboration, but image compression is a task your local CPU handles faster, more privately, and more reliably than any server you don't own.



FastCompressor is one of those tools that once it's in your workflow, you wonder why you spent so long fighting upload limits and waiting on external servers.



If you try it, drop a comment — curious what workflows you're using it for. And if you've got a better bulk image optimization method for your dev pipeline, let's hear it. 👇






Not sponsored — just a tool I genuinely find useful. fastcompressor.com

CTI Threat Relationship Graph3 Knoten / 2 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
SOC Incident Playbook: Remote Code Execution (RCE) Defense
1 Warnungen
title: Detect Exploitation - I stopped using TinyPNG and never looked back — here's why
id: 43ecc4c0-18ff-483c-84b4-f060822a346d
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "I stopped using TinyPNG and ne" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("I stopped using TinyPNG and never looked")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*I stopped using TinyPNG and never looked*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "I stopped using TinyPNG and never looked"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich I stopped using TinyPNG and never looked.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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