ai-renamer

A Node.js CLI that uses Ollama and LM Studio models (Llava, Gemma, Llama etc.) to intelligently rename files by their contents

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

npx ai-renamer /path

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-Words

Contribution

Feel free to contribute. Open a new issue, or make a pull request.

License

GPL-3.0