Category: Productivity

To compress a video without losing quality in 2026, re-encode with AV1 or H.265 (HEVC) — both are roughly 50–60% more efficient than H.264. Use VBR 2-pass encoding with a target of 5–10 Mbps for 1080p to achieve perceptually lossless output. Free tools like Handbrake handle this in a few clicks.

The Three Pillars of Video Compression

Effective compression comes down to three decisions:

1. Codec — The algorithm that encodes your video data
2. Bitrate — How much data per second you allocate
3. Resolution — Matching pixel count to the actual display

Codec Selection: AV1 vs. HEVC vs. H.264

Codec	Efficiency vs. H.264	Royalty	Best For	Device Support
AV1	~63% smaller	Free (open-source)	Web streaming, YouTube	Modern browsers, 2022+ hardware
H.265 (HEVC)	~50% smaller	Licensed	4K HDR, mobile playback	Phones, tablets, smart TVs
H.264 (AVC)	Baseline	Licensed	Maximum compatibility	Everything (15+ years)

Research from MDPI (2024) confirms AV1 saves approximately 63% on bitrate compared to H.264 at equivalent quality.

Recommendation: Use AV1 for web content. Use HEVC for mobile and 4K. Use H.264 only when you need to support very old devices.

Bitrate Management: Why VBR 2-Pass Wins

Constant Bitrate (CBR) uses the same data for every frame — wasteful for static scenes and insufficient for action. Variable Bitrate (VBR) is smarter: it allocates more data to complex, high-motion scenes and saves space on static backgrounds.

VBR 2-pass encoding scans the entire video first (pass 1), then distributes the data budget optimally (pass 2). This prevents blockiness during fast movement.

2026 Bitrate Targets

These are H.264 targets. For H.265 or AV1, reduce by 30–50%:

Resolution	Web / Social	High Quality / Archive
4K (2160p)	35–45 Mbps	50–65 Mbps
1080p (Full HD)	8 Mbps	12 Mbps
720p	5 Mbps	8 Mbps

Swarmify notes that H.265 at RF 22 cuts file sizes by 40–50% with no visible loss on 1080p screens.

Best Tools for Video Compression

Tool	Type	Best For	Key Feature
Handbrake	Desktop (free)	Full control, any format	Manual codec/bitrate/VBR settings
FFmpeg	CLI (free)	Batch processing, automation	ffmpeg -i input.mp4 -vcodec libx265 -crf 28 output.mp4
VEED.io	Online	Quick social clips (<500MB)	Automatic optimization
FreeConvert	Online	One-off jobs, no install	Browser-based
NVIDIA NVENC	GPU hardware	4K processing speed	5x faster than CPU encoding

HitPaw notes that GPU-accelerated encoding processes 4K video up to 5x faster than CPU-only methods.

FFmpeg Quick Commands

ffmpeg -i input.mp4 -vcodec libx265 -crf 28 output.mp4

# Compress to AV1 (60%+ smaller, slower encoding)
ffmpeg -i input.mp4 -vcodec libaom-av1 -crf 30 output.mp4

# Target specific bitrate (VBR 2-pass)
ffmpeg -i input.mp4 -vcodec libx265 -b:v 5M -pass 1 -an /dev/null
ffmpeg -i input.mp4 -vcodec libx265 -b:v 5M -pass 2 output.mp4

Platform-Specific Rules

Every platform re-compresses your upload. Pre-optimizing prevents double-compression artifacts:

Platform	Limit	Recommended Settings
Discord (free)	25 MB	Downscale to 720p, H.265, target ~200/seconds of video
YouTube	No hard limit	Upload high-bitrate “master” (12+ Mbps 1080p); YouTube re-encodes
Email (Gmail)	25 MB	Compress to 720p, 2-3 Mbps, or use a link instead
Website / SEO	Under 5 MB ideal	AV1 or WebM, 5-8 Mbps 1080p

Tooltester (2026) reports 40% of users abandon sites that take longer than 3 seconds to load — often caused by unoptimized video.

Hidden Savings: Audio and Metadata

• Audio bitrate: Switch to 128 kbps AAC — sufficient for web video and saves up to 15% total file size
• Metadata stripping: Remove EXIF data and silent audio tracks from background/hero videos
• AI-driven optimization: SmartVideo automatically selects the best codec based on viewer bandwidth

Conclusion

Video compression in 2026 means using the right codec (AV1 or HEVC), smart bitrate management (VBR 2-pass), and matching resolution to your display target. Start with Handbrake, pick an AV1 or H.265 preset, and use the bitrate cheat sheet above. You can cut file sizes by 60%+ with no visible quality loss.

FAQ

Does lowering FPS significantly reduce file size?

Yes. Dropping from 60 FPS to 30 FPS reduces size by 20–30% (fewer frames to encode). Best for interviews and tutorials. Avoid for sports or gaming content where smooth motion matters.

What is the best video codec in 2026?

AV1 wins on efficiency (60%+ smaller than H.264) and is now supported by most browsers. H.265 (HEVC) remains the best for broad device compatibility (phones, tablets, 4K TVs) with a solid 50% size reduction.

How do I hit Discord’s 25MB limit without pixelation?

Use H.265 codec. Calculate bitrate: 200 ÷ video length in seconds. Downscale 1080p to 720p — fewer pixels means each one gets more data, producing a clearer image at low bitrates.

To extract a ZIP file on Mac, double-click the file in Finder — macOS uses the built-in Archive Utility to decompress it instantly into the same folder. For more control, use the Terminal command unzip filename.zip. For non-native formats like RAR and 7z, install a third-party tool like Bandizip or use a browser-based extractor.

Three Ways to Extract ZIP Files on Mac

Method 1: Double-Click in Finder (Fastest)

macOS has native ZIP support — no extra apps needed. Double-click any ZIP file in Finder, and Archive Utility runs in the background, creating a new folder with the extracted contents in the same location.

This works on all modern macOS versions (Sonoma and later) and across all Apple Silicon hardware (M1, M2, M3, M4).

Method 2: Terminal Commands (For Power Users)

When Finder shows “Decompression Failed” or “Error 1” permission issues, Terminal is more reliable:

unzip filename.zip

# Extract to a specific folder
unzip filename.zip -d ~/Desktop/extracted/

# View contents without extracting
unzip -l filename.zip

# Extract password-protected ZIP
unzip -P yourpassword filename.zip

Expert Olga Weis recommends moving developer packages into a clean folder before unpacking: “This keeps extracted files from cluttering your Downloads folder.”

Method 3: Right-Click with Third-Party Tools

For formats beyond ZIP (RAR, 7z, TAR, GZIP), the built-in Archive Utility cannot help. Third-party apps add right-click extraction:

Tool	Formats Supported	Key Feature	Price
Bandizip	40+ (RAR5, ZIPX, 7z)	Multi-core processing for large files	Free
iBoysoft MagicMenu	ZIP, RAR, 7z	Right-click Finder integration	Paid
ZIP Extractor	ZIP, RAR, 7z	Browser-based, works in Google Drive	Free (300M+ users)

Format Support: What Mac Can and Cannot Open Natively

Format	Finder (Native)	Terminal	Third-Party Needed?
ZIP	Yes	unzip	No
TAR	No	tar -xf	No
GZIP (.gz)	No	gunzip	No
RAR	No	No	Yes
7z	No	No (without p7zip)	Yes
ZIPX	No	No	Yes

Safari Auto-Open: Convenience vs. Security

Safari can automatically unzip downloads: Safari → Settings → General → “Open ‘safe’ files after downloading.”

Recommendation: Keep this disabled. Auto-opening ZIP files can execute unknown scripts without your knowledge. Manually check downloaded files before extracting.

Troubleshooting: “Unable to Expand ZIP” Errors

Error	Cause	Fix
“Decompression Failed”	Corrupted download	Re-download the file
“Error 1” (permission)	Protected folder or shared drive	Move ZIP to Desktop or Documents
“No space left on device”	Insufficient disk space	Free up storage; extracted files are larger than the ZIP
“Unable to expand” (encrypted)	Password-protected archive	Use Terminal: unzip -P password filename.zip

Always verify disk space before extracting large archives — uncompressed files can be significantly larger than the ZIP.

Conclusion

Double-clicking in Finder handles 95% of ZIP extraction needs on Mac. For errors and advanced control, use Terminal unzip commands. For RAR, 7z, and other non-native formats, install Bandizip or use ZIP Extractor in your browser. Keep Safari’s auto-open disabled for security, and always extract to a dedicated folder to stay organized.

FAQ

Where is the ‘Unzip’ app on a Mac?

There is no standalone app. Archive Utility runs automatically when you double-click a ZIP file. You can also right-click → “Open With → Archive Utility.”

How do I automatically unzip Safari downloads?

Go to Safari → Settings → General and check “Open ‘safe’ files after downloading.” This auto-decompresses ZIP files. Disable this for better security if you download from untrusted sources.

How do I extract a password-protected ZIP on Mac?

Double-clicking usually shows a password prompt. If it does not, use Terminal: unzip -P yourpassword filename.zip. Replace yourpassword with the actual password and filename.zip with your file name.

To unzip files on Windows, open File Explorer, right-click the ZIP folder, and select “Extract All” — then choose a destination folder. As of May 2026, Windows 11 also natively supports extracting .rar and .7z files, so most users no longer need third-party software for basic decompression.

Three Methods to Unzip on Windows

Method 1: Right-Click “Extract All” (Simplest)

1. Locate the ZIP file in File Explorer (look for the zipper icon)
2. Right-click → Select “Extract All”
3. Choose destination — Windows suggests a new folder in the same location
4. Click “Extract” — A progress bar appears for large archives

SupportYourTech notes this is the fastest method for most users.

Method 2: Drag-and-Drop Individual Files

Need just one or two files from a large archive? Double-click the ZIP to browse inside, then drag specific items to your desktop or another folder. Windows extracts only those files instantly — no full decompression needed.

Method 3: PowerShell Batch Extraction

For dozens or hundreds of archives, automate with PowerShell:

Get-ChildItem -Path "C:\SourceFolder" -Filter *.zip |
  ForEach-Object {
    Expand-Archive -Path $_.FullName -DestinationPath "C:\DestinationFolder"
  }

Serverman recommends this for IT admins processing bulk data or setting up automated weekly backups.

Windows 11: Native RAR and 7z Support

After the November 2023 update, Windows 11 can extract .rar and .7z files directly in File Explorer — just like ZIP files. Microsoft integrated the open-source libarchive project to make this possible, as noted by PandaOffice Drecov.

Limitation: You can extract RAR/7z, but Windows still only creates ZIP archives. For creating .7z or .rar files, you need a dedicated app.

Format	Extract (Win 11)	Create (Win 11)	Windows 10
ZIP	Native	Native	Native
RAR	Native	No	Requires third-party app
7z	Native	No	Requires third-party app
GZIP / TAR / BZIP2	No	No	Requires third-party app

When to Use 7-Zip or WinRAR Instead

The built-in Windows tool does not support AES-256 encryption for creating password-protected archives. For sensitive data (medical records, tax returns), use a dedicated tool.

Feature	Windows Built-in	7-Zip	WinRAR
Create ZIP	Yes	Yes	Yes
Create 7z (LZMA2)	No	Yes	No
Create RAR	No	No	Yes
AES-256 encryption	No	Yes	Yes
CRC error recovery	Limited	Strong	Strong
Price	Free	Free	Paid (trial)

ZIP Extractor notes that desktop apps like 7-Zip offer better protection against corrupted files and CRC errors compared to browser-based tools.

Use 7-Zip or WinRAR when:
– Opening password-protected files with AES-256 encryption
– Maximum compression is needed (LZMA/LZMA2 algorithms)
– Working with GZIP, TAR, or BZIP2 formats

Compression Ratios by File Type

Not all files compress equally. Serverman provides useful benchmarks:

File Type	Typical Compression	Why
Text documents / spreadsheets	60–90%	Highly repetitive data compresses well
PDFs	20–40%	Partially compressed already
JPEG / MP3 / MP4	Less than 1%	Already compressed by their own codecs
RAW images / BMP	40–70%	Uncompressed pixel data

Modern Windows uses the ZIP64 extension, supporting archives up to 16 exabytes — more than enough for any real-world scenario, per Wikipedia.

Conclusion

For most users, right-click “Extract All” in File Explorer handles ZIP, RAR, and 7z extraction on Windows 11. Use PowerShell for batch jobs, and install 7-Zip when you need AES-256 encryption or maximum compression. Always ensure sufficient disk space before extracting large archives.

FAQ

What is the difference between ‘Extract All’ and double-clicking a ZIP?

Double-clicking lets you browse inside without decompressing — files appear but won’t run correctly. “Extract All” fully unpacks the data into a normal folder, which is necessary for apps, installers, and files that interact with your system.

Why can’t I see the ‘Extract All’ option?

You may have clicked a regular folder instead of a compressed archive (check the extension is .zip, .rar, or .7z). If WinRAR is installed, it may have replaced the default context menu. Try “Open With → File Explorer” to restore the native option.

How do I unzip password-protected files when Windows fails?

The built-in tool doesn’t handle high-level encryption. Use 7-Zip or WinRAR — both support AES-256 encryption that Windows cannot process natively.

To compress PNG files effectively in 2026, use oxipng for lossless optimization (zero quality loss) or pngquant for lossy quantization (60–80% reduction with barely visible impact). Browser tools like ToolTea handle quick jobs locally via WebAssembly, while CLI tools automate bulk processing in dev pipelines.

Lossless vs. Lossy: Which Method for Which File?

Method	Tool	How It Works	Best For	Typical Savings
Lossless	oxipng	Re-encodes DEFLATE, strips metadata	Logos, text screenshots, icons	15–40%
Lossy quantization	pngquant	Reduces color palette (32-bit → 8-bit)	Illustrations, photos, UI elements	60–80%

Lossless is like reorganizing a suitcase without throwing anything away — every pixel stays identical. Lossy quantization actually removes data by limiting unique colors, but the human eye rarely notices.

Pixotter shared a case study: a UI screenshot dropped from 1.2MB to 480KB at 80% quality — virtually indistinguishable from the original.

Both methods preserve the alpha channel. Unlike JPEG, PNG keeps transparency intact even after aggressive compression.

Browser Compression: Quick and Private

For daily tasks, browser tools are fastest — and keep your data private.

ToolTea processes images locally using WebAssembly, meaning files never leave your computer:

1. Upload — Drag PNGs or a ZIP file into the browser
2. Choose strategy — “Lossless” for pixel-perfect results, or a specific color count (e.g., 256) for maximum shrinkage
3. Resize — Drop to web-standard widths (e.g., 1920px) for additional savings
4. Download — Hit “Compress All” and save

CLI Tools: Developer-Grade Optimization

oxipng (v9.1.1) — Lossless Gold Standard

Built in Rust, oxipng is significantly faster than older tools. Pixotter recommends it as the current best-in-class for lossless PNG optimization.

oxipng --opt 4 --strip all input.png

# Batch process
oxipng --opt 4 --strip all *.png

pngquant (v3.0) — Lossy Quantization

Converts 32-bit PNGs to 8-bit palettes, achieving 60–80% size reduction. ToolTea benchmarks confirm this is nearly invisible for logos and UI elements.

# Compress to 256 colors (80% quality)
pngquant --quality=65-80 --output output.png input.png

# Batch with fallback
pngquant --force --quality=65-80 --ext .png *.png

PNG 3.0: The 2025 Update

The PNG 3.0 release (June 24, 2025) brought major improvements:

Feature	Impact
HDR support	Higher dynamic range for modern displays
Native APNG	Animated PNGs now a W3C Recommendation
Improved Exif chunks	Cleaner metadata handling

PNG vs. WebP vs. AVIF: When to Switch

Even with PNG 3.0, PNG is not always the right choice for the web:

Format	Compression	Transparency	Browser Support	Use Case
PNG	Lossless or lossy	Yes (alpha)	Universal	Logos, icons, pixel-perfect assets
WebP	25–34% smaller than JPEG	Yes	97%+	General web images, photos
AVIF	50% smaller than JPEG	Yes	92%+	Maximum compression, modern browsers

SammaPix notes: if your only goal is fast page loads, convert PNG to WebP or AVIF. Keep PNG only when you need pixel-perfect rendering or email compatibility.

How DEFLATE and Filtering Work Together

PNG compression is a two-stage process:

1. Filtering — Before compression, the encoder applies one of five filter types (Sub, Up, Average, Paeth, None) to predict pixel values from neighboring pixels. This makes the data more predictable.
2. DEFLATE — The LZ77 + Huffman coding engine finds repeating patterns in the filtered data and compresses them.

The better the filtering, the more effective DEFLATE becomes. Tools like oxipng test all five filter strategies per row and pick the optimal one — this is why they outperform basic encoders.

For user experience, the Adam7 interlacing algorithm renders a blurry preview almost instantly while the full image loads — valuable for slow mobile connections.

Conclusion

PNG compression in 2026 means choosing the right tool for the job: oxipng for lossless precision (logos, icons), pngquant for aggressive savings (60–80% on illustrations and UI). For web performance, consider converting to WebP or AVIF unless pixel-perfect transparency is required.

Action plan: Run your heaviest PNGs through pngquant. If the 60–80% savings look good, adopt it. For dev pipelines, add oxipng or Sharp to your build process to strip metadata and optimize automatically.

FAQ

Can I compress a PNG without losing any quality?

Yes. Use lossless tools like oxipng or ToolTea’s lossless mode. These re-encode the DEFLATE data and strip metadata without changing a single pixel. Expect 15–40% savings.

How much can I compress a PNG with lossy methods?

60–80% is typical with pngquant, which reduces the color palette from millions to 256 or fewer colors. For logos and UI elements, the visual difference is nearly invisible. For photographs, consider switching to WebP instead.

Should I convert PNG to WebP for my website?

For general web use, yes. WebP files are 25–34% smaller than equivalent JPEGs and support transparency like PNG. Keep PNG only for assets that require pixel-perfect rendering (logos with sharp edges, email templates) or when targeting clients with outdated software.

The most effective way to compress JPG files is a two-step process: resize the image dimensions to match your display needs, then apply lossy compression at 75–85% quality. This approach can cut file sizes by up to 98% — from 5MB to 100KB — while keeping images crisp to the naked eye, according to ShortPixel.

The “Resize Then Compress” Protocol

If you compress a massive 5MB photo without changing its dimensions, the result is often blurry or pixelated. Professionals avoid this by tackling two variables independently:

1. Resize — Reduce the pixel dimensions to match the actual display size
2. Compress — Apply lossy quality reduction at 75–85%

Why Resize First?

If your website displays an image at 1200px wide, uploading a 4000px original wastes bandwidth on “ghost pixels” that no one sees. Resizing first lets the compression algorithm focus its power on visible data.

ShortPixel demonstrated that a 5MB image resized then compressed drops to 100KB — a 98% reduction — while remaining visually crisp.

How Lossy Compression Works: DCT in Plain Terms

JPG compression relies on Discrete Cosine Transform (DCT). The algorithm divides the image into 8×8 pixel blocks and converts visual data into frequency components. It then rounds off high-frequency details — subtle color variations your eyes ignore — to save space.

As GWAA explains, the 75–85% quality range is the sweet spot for web use:

Quality Setting	File Size Reduction	Visual Impact
90–100%	Minimal (10–20%)	Virtually no visible difference
75–85%	40–70%	Barely noticeable without side-by-side comparison
50–70%	70–85%	Slight softening, acceptable for thumbnails
30–40%	85–95%	Visible artifacts, suitable only for strict upload limits

Best Tools to Compress JPG in 2026

Online Tools

Tool	Best For	Key Feature	Privacy
TinyIMG	Shopify stores, bulk web use	AI-driven, up to 98% reduction	Server-side
ShortPixel	WordPress sites, developers	API + plugin, batch processing	Server-side
AllImageTools	Privacy-first compression	Client-side processing (never uploaded)	Browser-only
GWAA	Quick one-off compression	No account needed	Server-side

Native Desktop Tools

• Windows: Open the Photos app → “Resize image” → adjust quality slider
• Mac: Open Preview → Tools → Adjust Size → reduce resolution and quality

For Developers: ImageMagick

Bitget Academy recommends ImageMagick for batch processing:

convert input.jpg -quality 85 output.jpg

# Batch process entire folder
mogrify -quality 85 -path ./optimized/ *.jpg

Strip EXIF Metadata for Extra Savings

Every JPG contains hidden EXIF metadata — camera settings, dates, GPS coordinates. Dead weight for websites. Uncheck “Keep Exif” in your compression tool to save a few extra KB per image without changing a single pixel.

SEO Impact: Core Web Vitals and Image Weight

Image file size is the #1 reason sites fail the Largest Contentful Paint (LCP) test — a Core Web Vitals metric Google uses for ranking.

• 53% of mobile users abandon sites that take more than 3 seconds to load (AllImageTools)
• WebP and AVIF formats are 25–34% smaller than JPEG at equivalent quality (Google Developers)

For 2026 SEO, compress JPGs to under 200KB for hero images and under 100KB for standard content images.

Troubleshooting: When Your JPG Is Still Too Large

If you need to hit a strict limit (e.g., 100KB for a government form):

1. Drop the quality slider to 30–40% — You will see some noise, but the file shrinks dramatically
2. Never re-compress a compressed JPG — This causes “generation loss,” degrading quality exponentially. Always start from the original
3. Try AI neural compression — Tools like Nero AI and TinyIMG remove detail only where the human eye is least sensitive

Conclusion

Compressing JPGs effectively means resizing first, then applying 75–85% lossy compression. This two-step protocol delivers 40–98% file size reduction with minimal visible impact. For 2026, make optimization a pre-upload habit: check Google PageSpeed Insights, use ShortPixel or TinyIMG on your heaviest images, and consider switching to WebP or AVIF for additional SEO gains.

FAQ

Is 50 KB small enough for most web forms?

Yes. Most government, school, and job portals set limits between 100KB and 500KB. For profile pictures, 50KB is an excellent target. For homepage hero images, stay under 200KB.

Does compressing a JPG multiple times ruin quality?

Yes — this causes generation loss. JPEG is lossy, so every re-compression deletes more data, creating visible artifacts. Always compress from the original high-quality file, never from an already-compressed version.

Why use JPEG instead of PNG for photographs?

JPEG’s lossy compression is designed for photos with millions of colors, producing files 5–10x smaller than PNG for the same photograph. PNG is lossless and better for logos, text, and images requiring transparency — but it makes photo files unnecessarily large.