How do I choose between different document parsing APIs when every company claims their extraction accuracy is ninety nine percent
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I choose between different document parsing APIs when every company claims their extraction accuracy is ninety nine percent
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
document parsing API extraction accuracy benchmark field-level accuracy evaluation OCR invoices contracts 2025 Google ↗
document AI evaluation metrics exact match field accuracy table extraction layout OCR benchmark Google ↗
- Evaluate performance | Document AI | Google Cloud Documentation · docs.cloud.google.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
- Best Document Parser API Comparison, Independently Benchmarked, 2026 · openbenchmarks.com
- Enterprise-Scale Document AI: State-of-the-Art Understand of Snowflake · snowflake.com
- realdoc-bench/README.md at main · extend-hq/realdoc-bench · github.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
document parsing API extraction accuracy benchmark field-level accuracy evaluation OCR invoices contracts 2025 OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
document AI evaluation metrics exact match field accuracy table extraction layout OCR benchmark OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |