Image to Text Node

1. If toggle is on Upload: Upload a file by clicking the upload button
2. If toggle is on Variable: Reference image files from other nodes

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Node Inputs

1. System (Instructions): Tell the AI model how to utilize the data (e.g., extract all the text from the image) or behave.
   • Type: Text
2. Prompt: The data that is sent to the LLM.
   • Type: Text
3. Image: The image to convert to text
   • Type: Image

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Node Parameters

1. Provider: Provider of the AI model you want to use. The default provider is OpenAI.
2. Model: Specific model you want to use.
3. Use Personal Api Key: This allows you to enter your API key.

1. Max tokens: The maximum amount of input + output tokens the model will take in and generate per run (1 token = 4 characters). Note: different models have different token limits and the workflow will error if the max token is reached.
2. Temperature: The diversity of the LLM generation. To have more diverse or creative generations, increase the temperature. To have a more deterministic response, decrease the temperature.
3. Top P: The Top P parameter constrains how many tokens the LLM considers for generation at each step. For more diverse responses increase top p towards a maximum value of 1.0.
4. Stream Response: Check to have responses from the LLM stream. Ensure to change the Type on the output node to “Streamed Text”.
5. JSON Output: Check to ​​to have the model return a structured JSON output rather than pure text.

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Node Outputs

1. Text: The text generated from the LLM.
   • Type: Text
   • Example usage: {{ai_image_to_text_0.text}}
2. Tokens Used: The number of tokens used for the run
   • Type: Integer
   • Example usage: {{ai_image_to_text_0.tokens_used}}

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Example

1. Input Node: Contains the input image of food menu
2. Image to Text Node: Converts the image to text
   • System: Extract all the text from the image
   • Image: {{input_0.image}}
3. Output: The text generated from the image
   • Output: {{ai_image_to_text_0.text}}

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Pricing