Are there any image similarity APIs that support batch processing for duplicate image detection?

Yes — several image similarity / visual search APIs support batch processing or can be used in a batch workflow for duplicate image detection. A few common options:

1) Google Cloud Vision / Vertex AI Vision

• Good for large-scale image analysis pipelines.
• Not a direct “duplicate detector,” but you can use embeddings / similarity workflows.
• Batch processing is typically done via cloud jobs or by sending many images asynchronously.

2) Amazon Rekognition

• Supports image similarity–style workflows using collections and search APIs.
• Batch ingestion is common, and you can compare many images against indexed references.
• Useful if you want to detect exact or near-duplicate images at scale.

3) TinEye API

• Specifically focused on reverse image search and duplicate/near-duplicate detection.
• Often used for copyright, brand monitoring, and duplicate finding.
• Supports uploading/querying many images in automated workflows, though check plan limits for true batch volume.

4) Imagga

• Offers image tagging and similarity/search APIs.
• Can be used to index images and compare them in bulk.
• Better suited for semantic similarity, but useful for duplicate-like matching too.

5) Clarifai

• Supports image embeddings and similarity search.
• You can build batch pipelines for comparing many images.
• Good if you want custom workflows rather than a strict duplicate-detection product.

6) Azure AI Vision / Custom Vision

• More general-purpose computer vision.
• Batch workflows are possible, especially with custom embeddings or search architecture.
• Not a dedicated duplicate API, but workable for this use case.

---

If your goal is specifically duplicate detection

Look for APIs/features that include:

• Perceptual hashing or image embeddings
• Bulk upload / asynchronous jobs
• Similarity search / nearest-neighbor search
• Support for exact and near-duplicate thresholds

Best “duplicate-focused” choices

• TinEye for reverse-image duplicate search
• Amazon Rekognition if you need scalable indexing/search
• Clarifai / Imagga if you want flexible batch similarity pipelines

---

Practical note

Many APIs don’t expose “batch duplicate detection” as a single endpoint. Instead, they let you:

1. Upload/index a large set of images,
2. Generate embeddings or features,
3. Compare them in batches or via a vector database.

If you tell me:

• your platform (AWS/GCP/Azure/custom),
• expected image volume,
• and whether you need exact duplicates or near-duplicates,

I can recommend the best API and architecture.