Dynapik offers a free online tool to change image types - no need to download anything. It's quick and easy to use. You can change your ORF images to common formats like PNG, WEBP, JPEG, SVG, CIN, DCX and PTIF. This tool works for both professionals and casual users. Convert your images to the format you want in seconds.
No supported conversions available yet.
ORF is the proprietary raw image format used by Olympus (now OM System) cameras. It is the standard raw format for the Micro Four Thirds system cameras produced by Olympus. ORF files contain the unprocessed data from the sensor. Because Micro Four Thirds sensors are smaller than APS-C or Full Frame, the raw data is critical for maximizing image quality, noise reduction, and dynamic range.
ORF files are TIFF-based. They store 12-bit or 14-bit sensor data. A unique feature of modern Olympus cameras is 'High Res Shot' mode, which shifts the sensor to take 8 or 16 images and merges them into a single massive raw file (up to 80 megapixels). This resulting file is still an .orf, but it contains vastly more data than a standard shot.
ORF has been used since the early Olympus E-System DSLRs. It has persisted through the transition to mirrorless PEN and OM-D series. With the rebranding to OM System, the format extension remains .orf.
Experience lightning-fast image conversions with our advanced algorithms. No more waiting for your files to be uploaded before processing.
Enjoy unlimited image conversions without any hidden fees. Our service is completely free to use, with no limitations on file size or quantity.
Convert images files between over 20 formats. We support popular formats like PNG, JPG, WebP, HEIC and more.
Use Dynapik on any device with a modern browser. We support all major platforms such as Windows, macOS, Linux, Android, and iOS.
Ensure high fidelity in your conversions. Our professional-grade output is ideal for designers, marketers, and content creators.
Your files are safe with us. We focus on your privacy and security with advanced encryption and local processing.