We need to parse structured data tables from scanned PDFs today, should we use AWS Textract or an LLM-based extraction tool?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need to parse structured data tables from scanned PDFs today, should we use AWS Textract or an LLM-based extraction tool?
2 real searches · 1 real-search pass
AWS Textract AnalyzeDocument tables scanned PDF official documentation confidence blocks tables merged cells pricing 2026Google ↗
OBSERVEDOther / navigational
LLM document extraction structured tables scanned PDFs vision models JSON schema official documentation OpenAIGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
AWS Textract AnalyzeDocument tables scanned PDF official documentation confidence blocks tables merged cells pricing 2026 Google ↗
LLM document extraction structured tables scanned PDFs vision models JSON schema official documentation OpenAI Google ↗
- Tables · docs.aws.amazon.com
- Amazon Textract FAQs · aws.amazon.com
- File inputs · developers.openai.com
- Structured model outputs · developers.openai.com
- Getting the Most out of GPT-5.4 for Vision and Document Understanding · developers.openai.com
- Document understanding | Gemini API | Google AI for Developers · ai.google.dev
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
AWS Textract AnalyzeDocument tables scanned PDF official documentation confidence blocks tables merged cells pricing 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
LLM document extraction structured tables scanned PDFs vision models JSON schema official documentation OpenAI OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |