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).
Congrats on the launch! I always forget about the file locations even after carefully organizing all the folders. With AI, will the situation be worse or better?
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.
RenameClick sounds like a total life-saver for a messy desktop! I'm really curious if the local AI is fast enough to handle thousands of files at once without slowing down my computer. Since it supports custom prompts, I wonder how specific I can get with my naming rules like, can it recognize specific project codes or dates within a document? Is it easy to connect with local LLMs like Ollama, and can we preview the new names before the app actually moves everything? I'd also love to know if the "offline-first" approach means it can work perfectly even when I have no internet access at all!
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?
Congrats on the launch! I like the File Organizer feature in addition to renaming files.
Yeah!!! Renaming files could be the worst task someone has to face, so I'm truly happy to see something like this and wish you all the best here!
Offline batch renaming hits scale pain fast: 10k+ files means slow content extraction, collisions, and nondeterministic names that make “undo” and dedupe scary.
Best practice is a deterministic pipeline: lightweight local parsers first (EXIF/PDF metadata), content hashes for stable IDs, preview + transactional apply with full rollback, and collision rules (suffixing, folder-level atomic moves).
How do presets encode the decision logic (regex + LLM + heuristics), and can users export a renaming manifest so runs are reproducible across Ollama, LM Studio, and cloud models?
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.