I am a retired executive advising a tech startup, and we need to pull tabular data out of scanned government regulatory PDFs. What is the most cost-effective AI utility for this?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I am a retired executive advising a tech startup, and we need to pull tabular data out of scanned government regulatory PDFs. What is the most cost-effective AI utility for this?
2 real searches · 1 real-search pass
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). 1 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
2026 pricing scanned PDF table extraction Docling Azure AI Document Intelligence AWS Textract Google Document AI tables official pricing Google ↗
Docling table extraction scanned PDF OCR official documentation Google ↗
- Docling · docling.ai
- Datalab · datalab.to
- Azure Document Intelligence · azure.microsoft.com
- Lite vs Azure, AWS and Google: 2x faster, 10x cheaper, as accurate · app.datalab.to
- Pricing - Azure Document Intelligence in Foundry Tools · azure.microsoft.com
- Textract Pricing Page · aws.amazon.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 pricing scanned PDF table extraction Docling Azure AI Document Intelligence AWS Textract Google Document AI tables official pricing OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Docling table extraction scanned PDF OCR official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |