Prompt
Do I need an OCR API for scanned contracts?
Latest observation
Yes—if your contracts are scanned images or PDFs without selectable text, you’ll usually need OCR to extract the text.
When you need OCR
- Scanned PDFs/images of signed contracts
- Photos of contracts taken on a phone
- Faxed or low-quality documents where the text is not embedded
- Need to search, index, compare, or summarize contract contents
When you may not need OCR
- The PDF already contains digital text (you can highlight/copy it)
- The contract was created in Word and exported as a text-based PDF
- You only need to store the file, not extract text
What an OCR API gives you
- Text extraction from images/PDFs
- Layout retention in some cases
- Confidence scores
- Table/form detection in better services
- Batch processing and automation
Important caveat
OCR is rarely perfect for contracts because of:
- small font
- stamps/signatures
- skewed scans
- poor contrast
- tables and multi-column layouts
So for legal documents, you often want an OCR service that supports:
- high accuracy
- layout-aware extraction
- PDF input
- searchable output
- possibly human review for critical fields
Practical rule
If your input is scanned, use OCR.
If your input already has real text, OCR is optional.
If you want, I can also recommend:
- the best OCR APIs for contracts, or
- a simple workflow for processing scanned PDFs.
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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