Before we dive into 2026, let's review what we achieved in 2025:

## Python to Nim transition
In the beginning of the year, auto-editor was written 100% in Python. By mid-August, it's now written 100% in [Nim](https://nim-lang.org) (excluding end-to-end tests). This resulted in audio detection being ~6x faster and rendering performance increasing by ~2x. This large increase in speed surprised me, however, I think it's because Clang/GCC is better at emitting wide instructions and/or better at leveraging ffmpeg's existing multi-processing. Either way, I expect future versions of Python to shrink h this gap, unless new low-level optimizations or algorithmic improvements are applied.

## FFmpeg contributions
This December, I have made [two](https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/21250) [PRs](https://code.ffmpeg.org/FFmpeg/FFmpeg/pulls/21259) to the FFmpeg project. Both deal with the whisper filter and make more useful to work with. At least one should be merged into `master` by early 2026.

## Audio transcription via Whisper-Cpp
For the last release of the year, auto-editor [29.5.0](https://github.com/WyattBlue/auto-editor/releases/tag/29.5.0), was released, which enables experimental support for Whisper on MacOS. Windows and Linux support will be coming in 2026.

## Conclusion
Have a happy new year!