---
tags:
- LLM
---

# ∞ Image Tabular Chart
## Documentation
- Class name: `LLMImageTabularChartReader`
- Category: `SALT/Language Toolkit/Readers`
- Output node: `False`

The LLMImageTabularChartReader node specializes in interpreting image-based charts as tabular data, converting visual information into a structured document format. This process enables the extraction and analysis of data from images that represent charts, facilitating their integration into data processing workflows.
## Input types
### Required
- **`path`**
    - Specifies the file path to the image chart that needs to be read. It is essential for locating and accessing the image for data extraction.
    - Comfy dtype: `STRING`
    - Python dtype: `str`
### Optional
- **`max_output_tokens`**
    - Determines the maximum number of tokens to be generated for the output, affecting the level of detail and length of the extracted data.
    - Comfy dtype: `INT`
    - Python dtype: `int`
- **`prompt`**
    - Provides an optional text prompt to guide the interpretation of the image chart, potentially influencing the focus or context of the extracted data.
    - Comfy dtype: `STRING`
    - Python dtype: `str`
- **`extra_info`**
    - Allows for the inclusion of additional information in a string format, which can be used to pass extra parameters or context for the data extraction process.
    - Comfy dtype: `STRING`
    - Python dtype: `str`
## Output types
- **`documents`**
    - Comfy dtype: `DOCUMENT`
    - Returns the extracted tabular data from the image chart in a structured document format, enabling further analysis or processing.
    - Python dtype: `Document`
## Usage tips
- Infra type: `CPU`
- Common nodes: unknown


## Source code
```python
class LLMImageTabularChartReader(ImageTabularChartReader):
    """
    @NOTE: Reads an Image chart as if it were tabular data into a llama_index Document
    @Source: https://github.com/run-llama/llama_index/blob/main/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/image_deplot/base.py
    @Documentation: https://docs.llamaindex.ai/en/latest/api_reference/readers/file/#llama_index.readers.file.ImageTabularChartReader
    """

    def __init__(self):
        super().__init__()

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "path": ("STRING", {"default": ""}),
            },
            "optional": {
    #			"keep_image": ([False, True], {"default": False}),
                "max_output_tokens": ("INT", {"default": 512}),
                "prompt": ("STRING", {"multiline": True, "dynamicPrompts": False, "default": ""}),
                "extra_info": ("STRING", {"multiline": True, "dynamicPrompts": False, "default": "{}"}),
            }
        }

    RETURN_TYPES = ("DOCUMENT", )
    RETURN_NAMES = ("documents",)

    FUNCTION = "execute"
    CATEGORY = f"{MENU_NAME}/{SUB_MENU_NAME}/Readers"

    def execute(self, path:str, max_output_tokens:int=512, prompt:str=None, extra_info:str="{}"):
        get_full_path(1, path)
        if not os.path.exists(path):
            raise FileNotFoundError(f"No file available at: {path}")
        path = Path(path)
        self._max_output_tokens = max_output_tokens
        if prompt and len(prompt) > 2:
            self._prompt = prompt
        extra_info = read_extra_info(extra_info)
        data = self.load_data(path, extra_info)
        return (data, )

```