Integrate Gemini with ColdFusion: Multimodal Examples

Gemini’s main advantage over OpenAI and Claude for a ColdFusion integration is multimodal input – sending an image alongside text in the same request, which matters for scanned-document and photo-based workflows.

Option A: Native ChatModel() (ColdFusion 2025 Update 8)

chatModelConfig also supports Google’s Gemini models via the same ChatModel() API — the shape is identical, only the provider and modelName change:

chatModelConfig = {
provider : "gemini", // confirm exact provider string in your CF Administrator AI panel
modelName : "gemini-2.5-flash",
apiKey : application.geminiApiKey,
temperature : 0.2,
maxTokens : 600,
timeout : 30
};

chatModel = ChatModel( chatModelConfig );
response = chatModel.chat( “Extract the invoice number and total amount from this text: ” & extractedText );

writeOutput( encodeForHtml( response.message ) );

As with the Claude example, we’ve confirmed ChatModel()’s general structure but not the exact provider string for Gemini – verify against your CF Administrator or the current docs before deploying this.

Option B: Vertex AI or direct Gemini API (any other supported version, or Lucee)

For image-based extraction specifically, ColdFusion’s Java interoperability lets you authenticate to Vertex AI with a service account and send a standard REST request containing both the image (base64-encoded) and your text prompt in the same payload. The exact request shape differs from a pure-text call – this is the part worth scoping with someone who’s built it before, since getting the multipart image+text payload right the first time saves a lot of trial and error.

Where Gemini earns its place 

If your use case is pure text – summarisation, classification, chat – OpenAI or Claude are usually simpler starting points with more established patterns. Gemini is worth the extra setup specifically when: 

  • You’re extracting data from scanned forms or photographed documents 
  • You’re already authenticated into Google Cloud and want to avoid standing up a separate provider relationship 
  • You need to process an image and generate a text response from it in a single call

Frequently Asked Questions

Can I use the Gemini API without a Google Cloud account? 

Yes, via the direct Gemini API with just an API key – Vertex AI is the option that requires a full Google Cloud account and service account setup. 

How accurate is Gemini at reading handwritten text? 

Varies significantly with handwriting quality – test against a representative sample of your actual documents before committing to it as a production approach. 

Can I mix Gemini with another model for the parts of my workflow that are pure text? 

Yes – this is a common pattern: Gemini specifically for the image-extraction step, then hand the extracted text to OpenAI or Claude for the reasoning that follows. 

For help integrating Gemini into your specific ColdFusion application, see our AI Integration Services with ColdFusion page.