Prompt
Which OCR API is best if I need bounding boxes and coordinates?
Latest observation
If you need bounding boxes and coordinates, the “best” OCR API depends on what else matters to you, but these are usually the top choices:
Best overall: Google Cloud Vision OCR
- Very strong text detection
- Returns bounding boxes for words/lines
- Good for photos, scans, receipts, documents
- Easy to use and widely supported
Best for document-heavy workflows: AWS Textract
- Excellent for forms, tables, and structured documents
- Returns bounding boxes and geometry for detected text
- Better than most OCR APIs if you need layout understanding, not just text extraction
Best for enterprise document processing: Azure AI Document Intelligence
- Strong OCR with coordinates, polygons, and layout info
- Good for PDFs, scanned docs, and business documents
- Nice if you already use Microsoft/Azure services
Best if you want high flexibility / self-hosting: Tesseract
- Open source
- Can output bounding boxes
- Lower accuracy than the cloud APIs above in many cases
- Good if cost/privacy matter more than convenience
Quick recommendation
- General OCR + coordinates → Google Cloud Vision
- Forms/tables/invoices → AWS Textract
- Document layout + coordinates → Azure AI Document Intelligence
- Free / self-hosted → Tesseract
If you want, I can also compare them specifically on:
- accuracy
- price
- bounding box format
- PDF support
- table extraction
- ease of integration
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.
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