Rename and auto-sort files with offline AI
RenameClick is an offline-first AI file renamer and organizer for Mac/Windows. It analyzes file content locally (no uploads) to generate clean, descriptive names, then auto-sorts files into folders by category using presets. Comes with 2 presets out of the box, but the real power is custom presets with your own categories. Supports batch processing, multilingual output, custom prompts (instructions), and optional cloud/local LLMs (Ollama, LM Studio).
This is a relaunch with a set of updates added since the first release. Over the past weeks, I focused on expanding flexibility based on early feedback: Added support for cloud AI providers (optional) Integrated LM Studio and Ollama for local LLMs Introduced custom prompts to fully control naming logic Added a multilingual interface Launched automatic file organization into category folders Improved batch processing and overall stability Happy to answer questions or hear how people are using it.
A lot of value here depends on naming conventions and organization logic: how do custom prompts and category presets work together, and what guardrails do you offer so people can enforce consistent patterns (dates/vendors/projects) without spending hours prompt-tuning?
Wishing I had encountered this tool merely twenty-four hours ago, whilst I was spending a rather desperate afternoon manually renaming years of photo archives. The utility is evident. One inquiry for the developers: do you intend to expand support to include design-specific file types, such as .ai or .indd ?
File naming is one of those things everyone puts off because it’s tedious. Automating it locally without sending files anywhere is a nice balance.
Do you plan to launch this for iOS as well?
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.