Renamer 7
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Renamer 7 includes a local AI model that turns plain-language descriptions into renaming workflows. Type "convert names to lowercase" or "remove spaces and add numbering" and Renamer builds the actions for you. Everything runs on your computer.
Rename thousands of files at once with reusable workflows. Use AI Assist when you're not sure how to start.
Rated 96% by 1,019 users on Setapp.
Powerful renamers have a learning curve. To rename a folder of files, you need to know which actions exist, in what order to chain them, and what settings each one needs. For someone who renames files once a month, that's a lot of context to keep loaded in your head. The first ten minutes with any batch renamer are usually spent reading documentation.
AI Assist is for people who know what they want the result to look like, but don't want to figure out which sequence of actions gets them there.
Creating a workflow with AI Assist takes four steps.
Tip: the one-click prompts are fastest for the most common jobs. Use the free-text field for anything more specific.
This is the part that matters. AI Assist uses a local language model, downloaded once and run on your machine. Your filenames, your prompts, and the suggestions never leave your computer.
Specifically, the first time you turn on AI Assist, Renamer downloads about 1.8 GB of model data (free, included with the app). After that, AI Assist runs offline. No API calls, no cloud, no Anthropic or OpenAI or Google in the loop. The model is Ministral 3B, running on an embedded llama.cpp inference engine, the same approach used by tools like Ollama and LM Studio, but pre-configured and integrated.
For anyone wary of "AI features" that quietly upload your data, the answer here is straightforward: nothing leaves your computer.
Learn more about the model Renamer uses →
AI Assist is best for situations where you can describe the outcome more easily than you can build the chain. Things like:
For situations where you already know exactly which Renamer actions you need, building the workflow by hand is faster. AI Assist is a starting point for unfamiliar tasks, not a replacement for knowing the tool.
For complex, multi-step renaming logic that involves conditionals or external data (CSV imports, regex with backreferences), the manual workflow editor gives you finer control. AI Assist can scaffold these but you'll usually want to refine the result.
The "AI" features in most software in 2026 quietly send your data to a third-party API. That's fine for some tasks but uncomfortable when the data is your personal files: your photo library, your work documents, your music collection.
Renamer's approach is that AI features should be useful without that compromise. Local inference is slower than calling GPT-4 over an API, but for the kind of structured suggestions AI Assist generates, local is fast enough. A complex prompt resolves in under a minute on most modern machines. Simple ones are nearly instant.
If you'd rather not use AI Assist at all, you don't have to. The model is downloaded only when you opt in, and Renamer's manual workflows do everything they did before.