Convert HEIC to JPG Online Free – Private, In Your Browser
Convert Apple iPhone HEIC and HEIF photos directly to universally compatible standard JPG images in your browser. All decoding and JPEG encoding takes place entirely on your device, ensuring complete privacy with zero file uploads to any server.
Note on photo metadata
Client-side browser decoding converts raw image pixels directly to standard JPG. Apple EXIF metadata (camera settings, geotags, date stamps) is stripped during this process for privacy and browser sandboxing reasons.
Drop your iPhone HEIC photos here
Click to browse, drag and drop, or paste from clipboard
Supports .heic and .heif files. Processed entirely in your browser.
How to use Convert HEIC to JPG
- 1 Select or drag and drop your Apple .heic or .heif photos into the dropzone.
- 2 Choose output format (JPG or PNG) and adjust your desired JPEG quality level (default 85%).
- 3 The in-browser engine decodes and converts your photos asynchronously.
- 4 Download individual JPG images or download all converted photos packaged into a single ZIP archive.
What it does — and what it doesn't
Uses client-side WebAssembly and JavaScript via libheif-js to read Apple High Efficiency Image Container (HEIC) bitstreams in local memory. Converted frames are drawn to an in-memory canvas context and encoded into standard JPEG format. The entire conversion process occurs within your device RAM and never transmits image data across the network.
Limits and browser boundaries
- iOS Safari canvas size limit: images exceeding 16,777,216 total pixels are safely downscaled to avoid browser tab memory exhaustion.
- Metadata: photo EXIF tags, GPS geotags, and embedded camera profiles are not preserved because browser-level canvas rendering extracts raw pixel data.
- Large batches exceeding 150 MB total input trigger an in-browser memory safeguard warning to maintain device stability.
Verified Test Lab Measurements
Real numbers recorded in automated browser testing (docs/test-results/heic-to-jpg.json).
| Fixture / Scenario | Input Size | Output / Result | Duration |
|---|---|---|---|
| sample.heic | — | — | — |
Client-Side Privacy Proof
All computation executes strictly inside your device CPU and GPU memory. Your file bytes, photos, and document text are never uploaded or transmitted to any server.
Verify it yourself in 5 seconds:
- Press F12 (or right click → Inspect) and switch to the Network tab.
- Drop your file into the tool above and click process.
- Confirm that zero outbound requests or file payloads leave your computer.
Frequently asked questions
Are my iPhone HEIC photos uploaded to a server?
No. Every photo is decoded and converted locally inside your web browser using client-side WebAssembly. You can open your browser DevTools Network tab (F12) to verify that zero image bytes or network requests are transmitted.
Why does converting an iPhone photo change its file size?
Apple HEIC uses advanced HEVC (High Efficiency Video Coding) compression designed to store high dynamic range photos in compact files. Converting to standard JPEG decodes those frames and re-encodes them into the universal JPEG format, typically producing a standard-sized JPG with universal compatibility on Windows, Android, and the web.
Does this converter preserve my photo EXIF metadata and GPS location?
No. Because conversion is performed strictly via client-side pixel extraction and HTML5 Canvas encoding, EXIF metadata, camera settings, and GPS geotags are stripped. This also provides an extra layer of privacy before sharing photos publicly.
Can I convert multiple HEIC photos at once and download a ZIP file?
Yes. You can drop multiple .heic files at the same time. Once conversion finishes, you can download each photo individually or click "Download All as ZIP" to bundle all output files into one instant archive.
Is there a limit on how many HEIC files I can convert?
There are no artificial daily quotas, paywalls, or account requirements. Because conversion relies entirely on your device memory, batch processing speed depends purely on your local device CPU and RAM.