Real ChatGPT answer · index seedhrgysV45X9gcompleteB2B software · AI and automation toolsinformational
I am evaluating document parsing APIs for a hackathon project and need to know which ones handle complex tables and multi-column PDFs the best.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I am evaluating document parsing APIs for a hackathon project and need to know which ones handle complex tables and multi-column PDFs the best.
2 real searches · 1 real-search pass
document parsing API benchmark complex tables multi-column PDFs 2025 2026 Azure Document Intelligence Google Document AI AWS Textract LlamaParse UnstructuredGoogle ↗
OBSERVEDComparison
official documentation PDF layout table extraction reading order multi-column PDFs API Azure Document Intelligence Google Document AI AWS TextractGoogle ↗
OBSERVEDInstruction
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
document parsing API benchmark complex tables multi-column PDFs 2025 2026 Azure Document Intelligence Google Document AI AWS Textract LlamaParse Unstructured Google ↗
official documentation PDF layout table extraction reading order multi-column PDFs API Azure Document Intelligence Google Document AI AWS Textract Google ↗
- GitHub - openbenchmarks-labs/document-processing: Open, independent benchmark on document parsing APIs and frontier VLMs for AI agents and RAG: does a struck-out clause in a redlined contract PDF survive the parse? Open source code + open data. LlamaParse, Reducto, Datalab, Extend, Pulse, Mistral OCR, GPT-6 Astra, Claude Fable 5.1. · qgithub.com
- GitHub - openbenchmarks-labs/document-processing: Open, independent benchmark on document parsing APIs and frontier VLMs for AI agents and RAG: does a struck-out clause in a redlined contract PDF survive the parse? Open source code + open data. LlamaParse, Reducto, Datalab, Extend, Pulse, Mistral OCR, GPT-6 Astra, Claude Fable 5.1. · github.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
document parsing API benchmark complex tables multi-column PDFs 2025 2026 Azure Document Intelligence Google Document AI AWS Textract LlamaParse Unstructured OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
official documentation PDF layout table extraction reading order multi-column PDFs API Azure Document Intelligence Google Document AI AWS Textract OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |