Why did we open-source our inference engine? Read the post

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Primitive: /extract · Extract · Docling

MultimodalOCR-Document

Overview

Hardware: — drives latency, throughput & cost

Size80M params
Tasks /extract
License
Latency
Throughput
Cost /1M tok

Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.

Extraction

Output kindsParsed Document
Inputsimage · document
Max sequence length

Benchmarks

olmOCR-Bench

general ocr en

Document text extraction accuracy across arxiv math, old scans, multi-column layouts, and tables

Corpus: 1,403 Queries: 1,403
default
Quality
accuracy 0.3170
ocr
Quality
accuracy 0.3347
Reference →

Open source inference for agents

Open-source inference for the models behind your agents. Run it yourself, or let us run it for you.

Github 2.1K

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