A Node.js CLI that uses Ollama and LM Studio models (Llava, Gemma, Llama etc.) to intelligently rename files by their contents
Desktop
For the desktop app, visit airenamer.app
Preview
Rename videos
ai-renamer-videos-1080p.mp4
Rename images
ai-renamer-images-1080p.mp4
Rename files
ai-renamer-files-1080p.mp4
Usage
You need to have Ollama or LM Studio and at least one LLM (Llava, Gemma, Llama etc.) installed on your system. You need to have ffmpeg to rename videos.
Run with NPX
Run with NPM
# Install it globally npm install -g ai-renamer # Run it ai-renamer /path
Ollama Usage
Ollama is the default provider so you don't have to do anything. You can just run npx ai-renamer /images. At the first launch it will try to auto-select the Llava model but if it couldn't do that you can specify the model.
npx ai-renamer /path --provider=ollama --model=llava:13b
LM Studio Usage
You need to set the provider as lm-studio and it will auto-select the loaded model in LM Studio.
npx ai-renamer /path --provider=lm-studio
OpenAI Usage
You need to set the provider as openai and the api-key with your API key and it will auto-select the gpt-4o model. But you can assign any model with --model flag.
npx ai-renamer /path --provider=openai --api-key=OPENAI_API_KEY
Custom Ports
If you're using a different port in Ollama or LM Studio you could simply specify the base URLs.
npx ai-renamer /path --provider=ollama --base-url=http://127.0.0.1:11434 npx ai-renamer /path --provider=lm-studio --base-url=http://127.0.0.1:1234
Params
The values of the flags will be saved to your disk when you use them. You can find the config file at ~/ai-renamer.json. If you're using a Mac it's /Users/your-user-name/ai-renamer.json. Also when you set a flag you don't have to use them again. The script gets the values from this config file.
npx ai-renamer --help Options: -h, --help Show help [boolean] --version Show version number [boolean] -p, --provider Set the provider (e.g. ollama, openai, lm-studio) [string] -a, --api-key Set the API key if you're using openai as provider [string] -u, --base-url Set the API base URL (e.g. http://127.0.0.1:11434 for ollama) [string] -m, --model Set the model to use (e.g. gemma2, llama3, gpt-4o) [string] -f, --frames Set the maximum number of frames to extract from videos (e.g. 3, 5, 10) [number] -c, --case Set the case style (e.g. camelCase, pascalCase, snakeCase, kebabCase) [string] -x, --chars Set the maximum number of characters in the new filename (e.g. 25) [number] -l, --language Set the output language (e.g. English, Turkish) [string] -s, --include-subdirectories Include files in subdirectories when processing (e.g: true, false) [string] -r, --custom-prompt Add a custom prompt to the LLM (e.g. "Only describe the background") [string]
ai-renamer uses change-case library for case styling
# value: result
camelCase: twoWords
capitalCase: Two Words
constantCase: TWO_WORDS
dotCase: two.words
kebabCase: two-words
noCase: two words
pascalCase: TwoWords
pascalSnakeCase: Two_Words
pathCase: two/words
sentenceCase: Two words
snakeCase: two_words
trainCase: Two-WordsContribution
Feel free to contribute. Open a new issue, or make a pull request.