We need to parse messy unstructured PDF invoices into structured JSON schemas using an LLM, what is the best architecture for this?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need to parse messy unstructured PDF invoices into structured JSON schemas using an LLM, what is the best architecture for this?
3 real searches · 1 real-search pass
OpenAI API structured outputs JSON schema official documentation PDF vision input 2026Google ↗
OBSERVEDOther / navigational
AWS Textract AnalyzeExpense invoices receipts documentation tables key value pairsGoogle ↗
OBSERVEDConsequence
Azure AI Document Intelligence invoice model documentation confidence fields tablesGoogle ↗
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 (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
OpenAI API structured outputs JSON schema official documentation PDF vision input 2026 Google ↗
AWS Textract AnalyzeExpense invoices receipts documentation tables key value pairs Google ↗
Azure AI Document Intelligence invoice model documentation confidence fields tables Google ↗
- Structured model outputs · developers.openai.com
- Structured model outputs · developers.openai.com
- Invoice data extraction – Document Intelligence - Foundry Tools · learn.microsoft.com
- Invoice data extraction – Document Intelligence - Foundry Tools · learn.microsoft.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OpenAI API structured outputs JSON schema official documentation PDF vision input 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
AWS Textract AnalyzeExpense invoices receipts documentation tables key value pairs OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
Azure AI Document Intelligence invoice model documentation confidence fields tables OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |