Convert JFIF to TIFF (JPEG File Interchange Format to Tagged Image File Format) without losing the original quality of images. In this digital era, a lot of users want to change various types of files according to the need with reliability. BitRecover JFIF to TIFF Converter is an offline software that is capable to change unlimited *.jfif images to *.tiff so that users can change their crucial files without uploading on the web. Offline tools considered more secure compared to online tools so several professional users always prefer to use offline software for converting their valuable data.
What Users Asked
Hi, BitRecover I want to migrate JPEG File Interchange Format (JFIF) images into Tagged Image File Format (TIFF). I know a few online JFIF to TIFF Converters but I don’t want to use the online tool because of security reasons. Kindly suggest me an offline toolkit to convert JFIF to TIFF images smoothly.
– Everett, San Jose, California
I am the owner of a medium-sized business, I am working in OCR text, faxing, printing industry from past few years. I have approx 20K JFIF images and I want to change them into TIFF (Tagged Image File Format) for completing my business requirements. Do you recommend a professional toolkit for solving my problem?
– Peyton, Dallas
The procedure to convert JPEG File Interchange Format to Tagged Image File Format can be easily completed within few simple steps –
In this section, BitRecover is explaining the complete step-by-step process for the completion of the task by showing real-time screenshots. First of all, download BitRecover JFIF Converter Wizard which has a separate option to change .jfif files to .tiff. After installing the tool on your Windows computer, you need to follow the step-by-step procedure for completing the task.
Step 1 – Launch JFIF to TIFF Wizard and click on the Select Files or Select Folders button for inserting the JPEG File Interchange Format (JFIF) images in the software panel.
Step 2 – Check desired JPEG File Interchange Format images from the software interface and click on the Next button.
Step 3 – Choose TIFF as a saving format as shown in the desired screenshot.
Step 4 – Confirm the default destination path or browse a specific destination location and press the Convert button to continue.
Step 5 – JFIF images to TIFF migration procedure is running, it will take very less time.
Step 6 – Now you can see the pop-up message i.e. “Conversion completed successfully. Please check the destination folder”. Click on the Ok button to confirm.
Step 7 – At last, it will automatically open the destination path so that users can easily receive their resultant data.
TIFF File Format Advantages
Tagged Image File Format (TIFF) was developed by Aldus Corporation in 1980 in collaboration with Microsoft Corporation for use with PostScript. TIFF file extension allows storing images with great depth of colors so it provides lossless quality for storing images or graphics.
- Many web developers use TIFF file extension, primarily for web use because it provides high-quality graphics for printing-related purposes without losses.
- TIFF (Tagged Image File Format) extension is widely supported by several graphics applications. It is the best file extension for scanning, faxing, and printing industry.
- Most of the TIFF images come without compression so that users can easily resize TIFF images by increasing the number of DPI (dots per inch) without changing the quality of images.
- TIFF images are supported by all OS platforms i.e. Windows, Mac, Linux, Android, etc. and it can be easily edited by several programs, for example, Photoshop.
With the help of BitRecover JFIF to TIFF Converter Wizard, users can smoothly change JPEG File Interchange Format to Tagged Image File Format in bulk without any size limitation. The tool is available with free trial edition so that users can easily check the software working procedure before purchasing the license keys by converting 5 *.jfif images into *.tiff images. After grabbing the license keys, you can convert unlimited JFIF files to TIFF images without changing the quality of data.