Question 1

When should I use the LightOn endpoint versus the NuExtract endpoints?

Accepted Answer

Use /ocr/lighton/markdown when you just need fast, accurate page-to-markdown conversion; LightOnOCR-2's card reports 5.71 pages/s on an H100 and state-of-the-art OlmOCR-Bench results. Use the NuExtract endpoints when you need structured JSON out, template generation, extraction from plain text, or its reasoning mode on hard documents.

Question 2

How does template-based extraction work?

Accepted Answer

Two calls. First POST /ocr/nuextract/template with a description of the fields you want (optionally with a sample document) to get a JSON template. Then POST /ocr/nuextract/extract with that template plus your pdf_b64, image_b64, or text; the response is JSON structured to the template. Templates are reusable across documents of the same type.

Question 3

What inputs does it accept?

Accepted Answer

Base64-encoded PDFs (pdf_b64) or images (image_b64), one document input per call. The extract endpoint additionally accepts a plain text field for extract-only requests where you already have the text. PDF pages are rendered at a configurable dpi, default 200.

Question 4

What does enable_thinking do?

Accepted Answer

It turns on NuExtract3's reasoning mode: the model thinks before answering, which is slower but higher quality on hard documents, per the request field description. It is off by default. NuMind benchmarked NuExtract3 with reasoning enabled at temperature 0.25 in its model card evaluation.

Question 5

How many pages can I process per call?

Accepted Answer

max_pages defaults to 10 (1 for template generation) and is configurable per request. The chute's playground notes recommend keeping max_pages low while testing, then raising it once the extraction shape looks right. For long documents, batch pages client-side across calls.

Question 6

What temperature should I use?

Accepted Answer

The chute defaults to 0.0 for markdown endpoints and 0.2 for extraction, which is close to LightOnOCR-2's generation config (temperature 0.2, top_p 0.9). For OCR and extraction you want near-deterministic output; only raise temperature if you see repetition artifacts.

Question 7

Can I use it commercially?

Accepted Answer

Yes. Both lightonai/LightOnOCR-2-1B and numind/NuExtract3 are Apache-2.0 licensed per their Hugging Face repos, which permits commercial use with attribution and license notice.

Question 8

Is my document data isolated?

Accepted Answer

The chute readme states PDF rendering is TEE-safe and the deployment runs at concurrency 1 on a single pro_6000 GPU, meaning requests are processed one at a time. Standard Chutes API-key auth applies; send documents as base64 over HTTPS.

Docuextract

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