Comparing the cost of building custom Python scripts for PDF scraping versus paying for an automated AI data extraction SaaS
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Comparing the cost of building custom Python scripts for PDF scraping versus paying for an automated AI data extraction SaaS
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). 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
2026 AI PDF data extraction SaaS pricing per page document pricing Azure Document Intelligence Amazon Textract Google Document AI Google ↗
Python PDF extraction libraries PyMuPDF pdfplumber OCR maintenance costs custom document processing Google ↗
- Textract Pricing Page · aws.amazon.com
- Document AI pricing · cloud.google.com
- Pricing - Azure Document Intelligence in Foundry Tools · azure.microsoft.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 AI PDF data extraction SaaS pricing per page document pricing Azure Document Intelligence Amazon Textract Google Document AI OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Python PDF extraction libraries PyMuPDF pdfplumber OCR maintenance costs custom document processing OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |