Unlimited-OCR

by baidu

One-shot long-horizon OCR for multi-page documents and PDFs

2.1Mdl/month

2,257likes

3.3Bparams

HuggingFace Run it on your own data, free

Identifiers

Model ID

baidu/Unlimited-OCR

Feature URI

mixpeek://image_extractor@v1/baidu_unlimited_ocr_3b_v1

Overview

Unlimited-OCR is Baidu's 3B vision-language OCR model built for one-shot parsing of long documents. Rather than reading a page at a time, it ingests multi-page images and PDFs in a single pass with a 32K-token context, preserving layout, reading order, tables, and formatting instead of returning a flat bag of words. It extends the DeepSeek-OCR line of compressed-token OCR with multi-page parsing and n-gram repetition guards, and runs efficiently under vLLM or SGLang.

On Mixpeek, Unlimited-OCR powers the OCR extractor when the goal is faithful structured text from whole documents (contracts, reports, scanned decks) so an agent can search the recovered text, tables, and headings, not just raw pixels. Layout-preserving output makes downstream chunking and section-aware retrieval far cleaner than character-level OCR.

Architecture

3B-parameter vision-language transformer (BF16) with a compressed-vision-token design that maps document images to a small token budget, then decodes structured text with a 32,768-token context. Two input modes trade resolution for cost (gundam 640px, base 1024px); custom n-gram repetition avoidance stabilizes long-form decoding. Served via Transformers, vLLM, and SGLang.

Mixpeek SDK Integration

import { Mixpeek } from "mixpeek";

const mx = new Mixpeek({ apiKey: "API_KEY" });

// Managed: create a collection over a bucket; Mixpeek runs this model's extractor
const collection = await mx.collections.create({
  namespace_id: "my-namespace",
  collection_name: "my-collection",
  source: { type: "bucket", bucket_ids: ["bkt_your_bucket"] },
  feature_extractor: {
    feature_extractor_name: "ocr",
    version: "v1",
    parameters: { model_id: "baidu/Unlimited-OCR" },
  },
});