Prompt
What OCR API should I use if I need JSON output instead of plain text?
Latest observation
If you need OCR results in JSON rather than plain text, choose an OCR API that returns structured document data by default or as an option. Good options include:
- Google Cloud Vision OCR — returns JSON and is strong for general OCR.
- AWS Textract — returns rich JSON, especially good for forms and tables.
- Azure AI Vision / Document Intelligence — returns structured JSON with layout, key-value pairs, and tables.
- ABBYY Cloud OCR SDK — also supports structured JSON and is strong for enterprise document processing.
If you only need simple text extraction, many OCR tools can still be wrapped to return JSON, but for native JSON output, AWS Textract and Google Cloud Vision are common choices.
If you want, I can recommend the best one based on your use case:
- receipts/invoices
- scanned books
- forms/tables
- handwriting
- invoices at scale
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.
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