Are there any open-source document parsing APIs that match the extraction accuracy of AWS Textract or Microsoft Document Intelligence for messy PDF invoices
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Are there any open-source document parsing APIs that match the extraction accuracy of AWS Textract or Microsoft Document Intelligence for messy PDF invoices
4 real searches · 1 real-search pass
open source invoice PDF extraction OCR benchmark AWS Textract Azure Document Intelligence PaddleOCR Docling 2026Google ↗
OBSERVEDOther / navigational
PaddleOCR PP-StructureV3 invoice extraction accuracy benchmark open sourceGoogle ↗
OBSERVEDReason
Docling invoice parsing OCR tables layout open source documentationGoogle ↗
OBSERVEDOther / navigational
open source invoice information extraction model InvoiceNet benchmark messy invoicesGoogle ↗
OBSERVEDReason
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 (4)
Classes come from the query-classifier (a local Laya model). 4 of 4 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT4 real searches · gpt-6
open source invoice PDF extraction OCR benchmark AWS Textract Azure Document Intelligence PaddleOCR Docling 2026 Google ↗
PaddleOCR PP-StructureV3 invoice extraction accuracy benchmark open source Google ↗
Docling invoice parsing OCR tables layout open source documentation Google ↗
open source invoice information extraction model InvoiceNet benchmark messy invoices Google ↗
- PaddleOCR · github.com
- PaddleOCR/docs/index.en.md at main · PaddlePaddle/PaddleOCR · github.com
- Docling · github.com
- Docling — Turn complex documents into structured data your AI can use · docling.ai
- GitHub - doccrush/document-parser-benchmark: Benchmark open-source document parsers for RAG and LLM applications. · github.com
- Best Open-Source AI Document Parsers, OCR & PDF-to-Markdown Extraction in 2026: Docling vs MinerU vs Unstructured vs Marker vs NLM-Ingestor · exactbaseline.com
- Marker · github.com
- MinerU · github.com
- Unstructured · github.com
- Analyzing Invoices and Receipts · docs.aws.amazon.com
- Invoice data extraction – Document Intelligence - Foundry Tools · learn.microsoft.com
- Invoice-KIE · github.com
- benchmark-ocr · github.com
Queries
4 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
open source invoice PDF extraction OCR benchmark AWS Textract Azure Document Intelligence PaddleOCR Docling 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
PaddleOCR PP-StructureV3 invoice extraction accuracy benchmark open source OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Docling invoice parsing OCR tables layout open source documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
open source invoice information extraction model InvoiceNet benchmark messy invoices OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |