FastRawViewer Developers' Blog

FastRawViewer 2.0.5 Release

FastRawViewer 2.0.5

Camera support

  • Canon EOS R7, EOS R10
  • Fujifilm X-H2S
  • Panasonic DC-GH6

FastRawViewer 1.7.8 Release

FastRawViewer 1.7.8

FastRawViewer 1.7.8 is released and available from download page.

Camera Support

  • Canon CR3 film roll and raw burst files (only 1st frame from the image sequence is displayed).

Other release notes

This is the last release of FastRawViewer Version 1.

RawPreviewExtractor Beta 0.3

RawPreviewExtractor 0.2 Beta

The program RawPreviewExtractor is intended to extract the JPEG previews contained in RAW files:

  • All RAW formats that have JPEG previews are supported.
  • The preview is extracted “as-is”: same image size
  • It is possible to copy EXIF data from original RAW to the destination JPEG.
  • Only JPEG previews are extracted; other formats (Bitmap, HEIC) are not supported.

FastRawViewer 2.0.1 Release

FastRawViewer 2.0.1

Camera Support added

  • Sony ZV-E10

Minor Issues Fixed

  • (macOS) New hidden setting StatsPanelExtraHeight fixes a small stats panel layout bug
  • (Windows only) Warning if uninitialized/incompatible graphics hardware is detected
  • Scripts to force graphics switch mode had not been updated for version 2

FastRawViewer 2 Release

Briefly: What’s New in Version 2

FastRawViewer 2.0

FastRawViewer 2.0 adds the following features (each described in more detail in corresponding sections):

  1. Multi-window Display Mode with synchronous zoom, pan, focus peaking, over/underexposure highlighting, and the ability to copy the rendering parameters of RAW files
  2. Renaming files: either single files or groups, with optional use of templates.
  3. Improved performance, especially when using fast and slow data media at the same time.
  4. Improved user interface: Advanced Selection Mode improvements; Move from _Rejected; and more.

FastRawViewer 1.7.5 Release

FastRawViewer 1.7.5

FastRawViewer 1.7.5 is a minor update released to provide new camera support:

  • Olympus E-P7
  • Panasonic GH5 Mark II
  • Pentax K-3 Mark III

It also adds new option to allow/disable drag-n-drop from Filmstrip/Grid panels (Preferences - Grid/Filmstrip - Allow item drag from Grid/Filmstrip)

FastRawViewer 2.0 Beta 2

A big thanks to our testers: we’ve gotten a lot of feedback and have implemented the most frequently requested features, described below.

What’s New in Beta 2

  • Multi-window mode: Drag-n-Drop and context menu support
  • Advanced Selection mode
  • Some minor changes
FastRawViewer 2.0. Beta 2

FastRawViewer 2.0 Beta 1

FastRawViewer 2.0. Beta 1

Briefly: What’s New in Version 2

FastRawViewer 2.0 adds the following features (each described in more detail in corresponding sections):

  1. Multi-window Display Mode with synchronous zoom, pan, focus peaking, over/underexposure highlighting, and the ability to copy the rendering parameters of RAW files
  2. Renaming files: either single files or groups, with optional use of templates.
  3. Improved performance, especially when using fast and slow data media at the same time.

FastRawViewer 1.7.4 Release

FastRawViewer 1.7.4 features:
  • Raspberry Pi HQ Camera support
  • Better unattended installer for Windows
  • Command-line activation utility
  • Minor changes and bugfixes
FastRawViewer 1.7.4

How to Work with Image Archives the FastRawViewer Way

Working with archives

How often do you want to visually browse your substantial archive of a huge collection of RAW files you've compiled over the years, in order to do some "thematic selection"? Or do you happen to have several folders of shots from some event, place, period of time (vacation), person, pet, etc., and you want to pick some shots out?

After you've selected all those photos you need either to copy them into a separate dedicated folder (for a further classification or processing), or onto a memory card (to give them to somebody), or you might want first add or edit ratings and labels, or simply send them to a raw converter for processing and then save the results into designated locations.

We decided to capitalize on the fast rendering FastRawViewer provides and implemented a lightweight but pretty powerful approach.

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