Loading page...
Compress photos and scanned document images under 100 KB online for free. Reduce file size for online registration forms.
Admission portals, job application forms, and bank exam registrations often cap document scans and ID photos at 100 KB. Rather than guessing quality settings, just drop your file here — it comes out under 100 KB with the sharpest quality we can preserve.
How to Use
Drag and drop single or multiple image files (PNG, JPEG, WebP, AVIF) into the upload area above.
Use global settings to set your target maximum file size (under 100 KB target cap) or slide the compression quality scale.
Click Download to save your shrunken, web-optimized images instantly with zero server uploads.
Was
1,842 KB
Now
94 KB
Upload your scanned file above. The tool automatically caps file size under 100 KB while preserving document text legibility and ink contrast.
Yes! Select multiple photos and every file in the batch will be independently optimized to stay strictly under 100 KB.
Achieving an exact 100 KB file size produces drastically different visual quality based on format: JPEG easily maintains crisp photo clarity and sharp text at 100 KB by smoothly discarding imperceptible color data. In contrast, PNG is designed for lossless graphics; forcing a photographic or scanned document into a 100 KB PNG requires severe color palette reduction, causing grain, banding, and diminished quality. Modern formats like WebP achieve 25–30% higher visual fidelity than JPEG at 100 KB, while AVIF preserves the finest gradients and micro-details without compression noise.
Image file size is determined by total pixel area (Width × Height). Halving dimensions reduces pixel count by 75%, allowing files to fit comfortably under 100 KB while maintaining sharp detail. Conversely, increasing dimensions quadruples pixel data and bloats file size without adding new optical sharpness.
Most people confuse DPI with resolution. This guide explains the real relationship between DPI and pixels, why changing DPI metadata doesn't add detail, and when 300 DPI genuinely matters.
How client-side Optical Character Recognition (OCR) processes document images using WebAssembly and Tesseract. Learn the pipeline of binarization, baseline fitting, and font recognition.