Kompresor Gambar
BaruTren 🔥Kompres PNG, JPG, dan WEBP dengan pratinjau sebelum/sesudah
Cara Menggunakan Kompresor Gambar
- 1Seret dan lepas gambar PNG, JPG, atau WEBP Anda
- 2Sesuaikan slider Kualitas (lebih rendah = file lebih kecil)
- 3Opsional, tetapkan dimensi maksimum untuk mengecilkan gambar besar
- 4Klik Kompres Gambar dan perhatikan bilah kemajuan
- 5Seret slider perbandingan untuk membandingkan sebelum dan sesudah, lalu unduh
Tentang Kompresor Gambar
Kompresor Gambar mengurangi ukuran file gambar dengan menyesuaikan kualitas dan secara opsional mengurangi dimensi — semua di browser Anda.
Slider perbandingan interaktif sebelum/sesudah memungkinkan Anda membandingkan gambar asli dan yang dikompres. Statistik menampilkan ukuran asli, ukuran kompres, dan persentase pengurangan.
Fitur Utama Kompresor Gambar
- Compress PNG, JPG, and WEBP images in seconds
- Adjustable quality slider for full control over size vs. quality
- Optional maximum dimension setting to downscale large images
- Interactive before/after comparison slider
- Real-time stats: original size, compressed size, reduction percentage
- Non-blocking processing via Web Workers — UI stays responsive
- Completely browser-based — your images never leave your device
- No file size limit imposed by any server
Format yang Didukung
Format Input
Format Output
Output format matches the input format. To convert format while compressing, use the Image Converter tool.
Contoh
Compress a product photo for e-commerce
Reduce a large JPG product image to speed up page load without visible quality loss.
Input
product.jpg — 3.2 MB, 4000×3000 px, quality 100%
Output
product.jpg — 320 KB, 4000×3000 px, quality 80% — 90% reduction
Shrink a PNG screenshot for a blog post
Cut down a heavy PNG screenshot to a web-friendly size.
Input
screenshot.png — 1.8 MB, 2560×1440 px
Output
screenshot.png — 280 KB, 1280×720 px — 84% reduction
Kasus Penggunaan Umum
- Optimizing product images for faster e-commerce page loads
- Reducing blog post images to improve Core Web Vitals scores
- Shrinking images before uploading to a CMS or social media
- Compressing screenshots for documentation or tutorials
- Reducing image attachment sizes before sending by email
- Preparing web app assets to improve Lighthouse performance scores
Pemecahan Masalah
Compressed file is larger than the original
Solusi
This can happen with small PNG files that are already well-optimized. Lower the quality slider or try converting to WEBP for better results.
Visible pixelation or blurriness after compression
Solusi
The quality setting is too low. Increase the quality slider to 75–85% for a better balance between file size and visual quality.
Image loses transparency after compression
Solusi
Transparency is only preserved in PNG output. Make sure you are compressing a PNG and not converting to JPG.
Large image takes a long time to compress
Solusi
Enable the maximum dimension option to downscale the image first, which dramatically speeds up compression.
Pertanyaan yang Sering Diajukan
Seberapa besar ukuran file dapat dikurangi?
Biasanya 50-90% tergantung konten gambar dan pengaturan kualitas.
Apakah gambar diunggah ke server?
Tidak. Kompresi dijalankan dalam Web Worker di browser Anda.
Apakah kualitas akan terpengaruh secara signifikan?
Pada kualitas 70% ke atas, perbedaan jarang terlihat. Gunakan slider perbandingan untuk menilai sendiri.
Format apa yang didukung?
PNG, JPG/JPEG, dan WEBP didukung untuk kompresi.
What quality setting should I use?
For photos, 75–85% delivers the best balance. For screenshots or graphics with sharp edges, 85–90% is recommended to avoid blurriness.
Can I compress multiple images at once?
Currently the tool processes one image at a time. Upload, compress, download, then move to the next image.
Does compressing a PNG preserve transparency?
Yes. PNG compression preserves the alpha channel. Avoid converting a transparent PNG to JPG, which does not support transparency.
What is the maximum dimension option?
It sets the longest edge of the image in pixels. If your image is wider or taller than this value, it will be scaled down proportionally before compression, resulting in a much smaller file.