iLoveIMG vs MakeMyImgs — Honest Comparison

iLoveIMG and MakeMyImgs both let you compress, resize, crop, and convert images in a browser. The difference is where the work happens. iLoveIMG uploads every file to their servers, processes it there, and sends the result back. MakeMyImgs runs the same operations directly in your browser using the Canvas API, so the file never leaves your device. That single architectural choice ripples through privacy, speed on small files, which features exist, and what costs money.

This post is written by the team behind MakeMyImgs, so read it with that bias in mind. The goal isn't to pretend iLoveIMG is bad — it isn't — but to explain concretely where each one wins.

Architecture: upload-and-process vs. run-in-browser

iLoveIMG uses the classic SaaS pattern: your browser is a thin uploader, their backend runs ImageMagick/FFmpeg-class software, and you download a result. Every operation is a round trip.

MakeMyImgs uses a different model. When you compress, resize, crop, rotate, convert between PNG/JPG/WebP, watermark, or add text, the browser itself decodes the image, the Canvas API transforms it, and a Blob is handed back to you. No upload happens. You can verify this in DevTools → Network: the tab stays empty while you process the image.

A handful of MakeMyImgs tools do still go to a server — specifically background removal, AI upscaling, HEIC decoding, and face blur. Those run models and codecs (Real-ESRGAN, rembg, libheif) that browsers can't execute. Those pages are explicitly labeled server-dependent. Everything else is local.

Feature matrix

Checked against both product surfaces on 2026-04-16. Column one is iLoveIMG's public tool list; column two links directly to the MakeMyImgs equivalent.

Privacy

This is the place the difference actually matters in practice.

iLoveIMG states in their privacy policy that uploaded files are deleted after a retention window. For a vacation photo you're resizing for Instagram, that's fine. For things like ID scans, medical imaging, unreleased product shots, client photography under NDA, or screenshots of internal dashboards, the upload is itself the problem — not the retention policy. Once a file is on someone else's infrastructure, you are trusting their logs, their backups, their DLP, their employees, and their incident response.

MakeMyImgs's browser tools sidestep that entire conversation. The file is read via a File object, drawn to a canvas, and a new Blob is handed back via URL.createObjectURL. There is no fetch call that includes the file. You can read the privacy page or just watch the network tab.

Pricing

iLoveIMG has a free tier with per-task limits (file size, batch size, occasional watermarking) and a paid subscription that removes the limits, adds batch, and unlocks the AI tools (background removal, upscale). There's also a developer API tier billed by usage.

MakeMyImgs is free, ad-supported, no account. Batch is free. The AI tools are free. The only hard limit is 25 MB per image — a browser-memory constraint, not a paywall. Ads sit below the fold and are gated behind the cookie-consent banner.

Speed: where each actually wins

“Which is faster” depends on what dominates wall-clock time for your operation:

• One small image (< 2 MB) on a modern laptop. MakeMyImgs wins, usually by 2–5 seconds. There's no upload. Canvas decode plus re-encode on an M-series MacBook is sub-second for a 2 MB JPEG; iLoveIMG spends most of its time on the round trip, not the actual compression.
• One large image (10–25 MB) on a modern laptop. Still a MakeMyImgs win, but narrower. Canvas encode on a large JPEG starts to take seconds; upload time to iLoveIMG is proportional to your upstream bandwidth, which for most home connections is the bottleneck.
• One large image on a five-year-old phone. Server-side (iLoveIMG) can pull ahead. The browser has to decode and re-encode on a weak CPU; a server has a purpose-built pipeline. If your device grunts on everyday operations, upload wins.
• 50 images bulk.Depends on link speed. MakeMyImgs processes sequentially with a progress indicator; no upload queue. iLoveIMG's batch is faster per-image but gated behind uploads and, historically, a paid tier.
• AI operations (background remove, upscale). Identical model — both are server-side, and neither can run Real-ESRGAN-class models in the browser yet.

The honest framing: for one-off compress/resize/crop operations on a decent laptop, the upload itself is the slowest part of iLoveIMG, and MakeMyImgs skips that step entirely.

When iLoveIMG is the right choice

• You're on a weak device (old phone, school Chromebook) and offloading the compute to a server is the whole point.
• You're already paying for their premium tier, comfortable with the upload model, and want their workflow chaining.
• You need a developer API with an SLA and billing.

When MakeMyImgs is the right choice

• The file is sensitive — personal, medical, client work, NDA — and uploading it is itself the problem.
• You're doing one-off edits on a modern laptop and don't want to wait for uploads.
• You need something iLoveIMG doesn't ship: photo filters, blur, pixelate, color picker, round corners, animated-GIF creation, face-blur, HTML-to-image.
• You want the AI tools (background remove, upscale) without a subscription.
• You want a tool that works offline after first load.

Bottom line

Pick iLoveIMG if you're on weak hardware and fine with uploads. Pick MakeMyImgs for everything else: if the file shouldn't leave your device, if you want AI tools without paying, or if you want features iLoveIMG doesn't have. Start with the compressor— it's the tool most people reach for first, and it'll make the architectural difference obvious in about five seconds.