Statistic · AI Tagging · From the AI Tagging Provider Index
5of 10
Vision APIs with documented OCR / text extraction.
Five of the 10 leading image-tagging APIs ship a named, documented OCR or text-extraction endpoint. The remaining five split: three frontier multimodal LLMs do OCR-style work fluently via prompt, but the capability isn't a documented product surface; one provider (Imagga) doesn't ship OCR at all; one (Hive AI) bundles text detection inside its moderation taxonomy.
OCR / text-extraction documentation · by provider
| Provider | OCR documented | Notes |
|---|---|---|
| Google Cloud Vision | Yes | TEXT_DETECTION and DOCUMENT_TEXT_DETECTION endpoints. |
| AWS Rekognition | Yes | DetectText API (plus Textract for document-level OCR). |
| Azure AI Vision | Yes | Read API documented for OCR with layout. |
| Clarifai | Yes | OCR model in public model catalog. |
| Cloudinary AI | Yes | Documented text detection / OCR transformation. |
| Anthropic Claude (vision) | Partial | Reads text in images fluently via prompt; not a named documented capability. |
| OpenAI GPT-4o (vision) | Partial | Reads text in images fluently via prompt; not a named documented capability. |
| Google Gemini (vision) | Partial | Reads text in images fluently via prompt; Cloud Vision (a separate Google product) is the documented OCR surface. |
| Hive AI | Partial | Text detection exists within the visual-moderation suite; not a standalone documented OCR endpoint. |
| Imagga | No | Tagging-focused; no OCR endpoint shipped. |
"Yes" requires a documented OCR endpoint with input/output schema in the provider's public API reference. "Partial" means OCR works in practice via prompting or is bundled inside a broader capability without standalone docs. Cells re-verified monthly. Methodology →
Why "Partial" matters for the LLMs
Frontier multimodal LLMs extract text from images well — sometimes better than purpose-built OCR on noisy or low-resolution sources. But because OCR isn't a documented capability with a contract, you can't predict output format, throw errors against a schema, or set expectations for downstream pipeline behaviour. For operators wiring OCR into a structured asset pipeline, "Partial" generally means "use a documented OCR API as the primary path and reserve LLM OCR for the long-tail messy cases."
What counts
- Yes — a documented OCR or text-extraction endpoint with documented input/output schema.
- Partial — OCR-style behaviour is reachable but not as a documented standalone capability (works via prompt, or bundled inside another product).
- No — no OCR capability documented.
Cite this statistic
DAM LLM Research. "Vision APIs with documented OCR / text extraction, May 2026." damllm.ai, 2026. https://damllm.ai/statistics/vision-apis-with-ocr/