embedding api for images and text

If you want an API for embeddings for both images and text, the most common options are:

1) OpenAI Embeddings

• Text embeddings: yes
• Images: not directly with the standard embeddings endpoint
• Best for semantic search, RAG, clustering, similarity

2) Multimodal embedding models

These support both text and image embeddings:

• CLIP / OpenCLIP
• SigLIP
• ImageBind
• Vertex AI multimodal embeddings
• Cohere Embed Multimodal (if available in your region/account)
• Voyage multimodal options (depending on current product support)

3) Self-hosted open-source

If you want one system for both:

• CLIP is the classic choice
• You can run it via:
  • Hugging Face Transformers
  • Sentence Transformers
  • FastAPI wrapper
  • vector DB integration

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Practical recommendation

If your goal is:

• Text search only → OpenAI text embeddings
• Image + text search together → CLIP/OpenCLIP or a hosted multimodal embedding API

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Example use case

You can embed:

• an image of a chair
• the text “modern wooden chair”

Then compare vectors to find similar items across modalities.

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If you want an API endpoint

You can build one like:

• POST /embed/text
• POST /embed/image

backed by a model such as CLIP.

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If you want, I can give you:

1. a list of current hosted APIs that support both image and text embeddings, or
2. a Python example using CLIP + FastAPI.