Capability · Framework — rag

Reducto

Reducto is a YC-backed commercial document intelligence API aimed at RAG over complicated real-world documents: 10-Ks, M&A contracts, actuarial tables, clinical PDFs. It combines custom vision models with rule-based post-processing to return typed JSON (tables, forms, sections) plus layout-aware chunks you can drop straight into a vector DB. Popular at finance and insurance teams where accuracy on tables and footnotes matters more than cost.

Framework facts

Category: rag
Language: API (Python / TS SDKs)
License: Proprietary SaaS

Install

pip install reductoai
# or
npm install reductoai

Quickstart

from reductoai import Reducto

client = Reducto(api_key='REDUCTO_KEY')
result = client.parse.run(document_url='https://example.com/10k.pdf')
print(result.result.chunks[0])

Alternatives

LlamaParse — LlamaIndex's hosted parser
Unstructured — unified loader
Marker — OSS

Frequently asked questions

Why pick Reducto over open-source parsers?

For regulated / high-accuracy domains (finance, insurance, legal) Reducto's benchmarks on nested tables and footnotes are hard to match with OSS alone, and you get an SLA and support. For general use OSS is fine.

Does Reducto train on my documents?

No — customer content is not used to train their models by default. Check their current DPA for specifics.

Sources

Reducto docs — accessed 2026-04-20
Reducto home — accessed 2026-04-20