Overview
WorkBench is the standalone batch application for the Perfectly Clear correction engine, aimed at anyone who has to deliver hundreds or thousands of images rather than perfect a handful. It analyses each frame on its own and applies exposure, contrast, colour, tint and sharpening corrections tuned to that specific image instead of pushing a single preset across the whole set.
The face aware side is what separates it from a plain auto adjust. Faces are detected per frame, then skin tone, exposure on the face rather than the scene, blemish removal, eye enhancement, teeth whitening and light shine reduction are applied with strength controls. For school, event, sports and volume portrait work this is the entire retouching pass.
Around the engine sits the batch machinery: watch folders that process files as they arrive, output profiles with resize, crop, sharpening for a chosen medium, watermark placement and format conversion, and a preset system where a corrected look is saved and applied to every subsequent job. Corrections are non-destructive, with a before and after comparison on every image before the batch is written.
What it does well
Per image analysis
Every frame is measured on its own, so a mixed set of exposures comes out consistent instead of uniformly shifted.
Face aware retouching
Detects faces and applies skin, blemish, eye, teeth and shine corrections with per-effect strength, at batch scale.
Batch and watch folders
Process thousands of files unattended, or point it at a folder and let it correct images as they land.
Output profiles
Resize, crop, sharpen for print or screen, add a watermark and convert format as part of the same pass.
Presets and comparison
Save a corrected look as a preset, and check any image with a before and after view before the batch writes.
Changes in this build
- Correction engine retrained, which improved skin tone handling under mixed lighting.
- Faster batch throughput on machines with many cores.
- Noise reduction reworked to hold detail at high sensitivity settings.
- Watch folder rules extended with per-folder output profiles.
- Raw import updated for more recent camera bodies.
What is in the package
- WorkBench standalone application, 64-bit
- Correction and face aware retouching engine
- Batch and watch folder modules
- Preset and output profile library
- Raw import support for current camera bodies
System requirements
| Processor | 64-bit multicore, 6 cores or more recommended for batch work |
| Memory | 8 GB minimum, 16 GB for large batches |
| Graphics | GPU with 2 GB VRAM |
| Storage | 3 GB free plus space for output |
| Display | 1920 x 1080, colour accurate panel recommended |
| System | Windows 10 or Windows 11, 64-bit |
Installation
- Extract the archive to a local folder.
- Run setup to the default location.
- Apply the included configuration step before the first launch.
- Set an output folder and profile before queueing a batch.
- Correct one image first and check the before and after view.
Before you start
Always write output to a separate folder, batch correction should never overwrite originals.
Face detection needs reasonable resolution, very small faces in a wide frame are skipped.
Presets carry the full correction stack, save one per job type rather than tweaking each run.
Questions about this title
Is this the plug-in or the standalone?
The standalone batch application, which does not need a host.
Does it handle raw files?
Yes, with import support for current camera bodies.
Can it watch a folder?
Yes, files are corrected as they arrive using the assigned profile.
Are the originals modified?
No, corrections write to the output folder you set.
About this listing
This entry was checked on a clean install of Windows 10 / 11 (64-bit) before it was published, and it is rechecked whenever the package is rebuilt. The figures on this page come from the site index rather than from the publisher, so the download count is what people here have actually pulled.
If a mirror stops answering, use the contact form and it gets replaced. Reports about a specific title are handled faster than general messages because they name the file, the mirror and the point at which the transfer stopped.
Requests for a different version, a different language build or an older release go on the requests page. Older versions of a title are usually still held even when only the current one is listed.