Prompt

What OCR API has good accuracy on photos of documents?

Artificial Intelligence / Computer Vision1 observationLast seen Oct 11, 2026

Latest observation

Oct 11, 2026OpenAI APIWeb search: off

If you mean photos of documents (not clean scans), the best OCR APIs for accuracy are usually:

Top choices

  1. Google Cloud Vision / Document AI

    • Very strong on real-world photos
    • Good at skew, shadows, blur, mixed layouts
    • Document AI is better than basic Vision for structured docs
  2. AWS Textract

    • Excellent for forms, tables, receipts, invoices
    • Strong on document photos and layout extraction
    • Great if you need key-value pairs or table structure
  3. Microsoft Azure AI Document Intelligence

    • Very good overall accuracy
    • Strong for business documents and forms
    • Often competitive with Google/AWS

Good specialized options

  1. ABBYY Vantage / FineReader OCR

    • Historically one of the best for OCR accuracy
    • Strong on complex documents and poor-quality images
    • More “enterprise” oriented
  2. Mindee / Veryfi / Klippa

    • Useful for receipts, invoices, IDs, and specific document types
    • Often easier to integrate for narrow use cases

Quick recommendation

  • General document photos: Google Document AI or Azure Document Intelligence
  • Tables/forms/invoices: AWS Textract
  • Highest enterprise OCR accuracy: ABBYY
  • Receipts/expense docs: Veryfi or Mindee

If you want best results from photos

OCR accuracy depends a lot on image quality. You’ll usually get better results if the API handles:

  • perspective correction
  • rotation detection
  • blur/shadow tolerance
  • handwriting support, if needed

If you tell me:

  • document type,
  • whether it’s scanned or phone photos,
  • and whether you need plain text or structured fields,

I can recommend the best API more precisely.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.