Free and AI-Written, the Negative Converter that Captivates Early Users

Kevin Lyu introduced on Reddit, in the r/AnalogCommunity, FreeCCR: a free and open source application that converts color negative film scans into accurate positives. The project aims to fill a well-known gap for those who shoot in analog, where free conversion tools with solid color rendition are scarce.

The heart of the application goes beyond simple pixel inversion, with a pipeline that models how film responds to light: non-linear density curve, dye characteristics, and overall density range. The central function, called B/W Point, asks the user to sample two reference points directly from the scan: the fully exposed film and the transparent base next to the frame. From these two anchors, the entire roll is converted consistently, regardless of how light or dark the scene was.

For scans without a usable edge, an Auto mode is available, which autonomously analyzes the histogram of each frame for a quick initial conversion. Processing can occur in batch on an entire folder or roll, supporting RAW formats (CR3, CR2, NEF, ARW, DNG) and standard formats (TIFF, JPEG, PNG). It also features complete color correction (temperature, tint, exposure, contrast, saturation, white and black points) with a live histogram, synchronization of adjustments between frames, optional GPU acceleration via OpenCL, and operates completely offline, with all processing done locally.

The Update and AI Issue

The latest version adds an AWB button for automatic white balance, Linux support, and various tweaks to the dust removal system: correction can now act on a cropped image rather than the entire scan, automatic grain detection works at full resolution for frames and even catches the blurriest marks that previously slipped through, while exports use the reference frame captured at the time of conversion.

The application can be downloaded from GitHub. Its presentation has sparked mixed reactions: in some comments, users expressed disappointment that the code was written with the assistance of artificial intelligence. On the flip side, a user summarized the positive impression: "I tried it on the fly with a couple of random scans and I have to say it's the best first impression I've had with one of these tools. Consistently better results than some paid tools I've tried."