Baidu: Qianfan OCR Fast

This model is no longer available.

Add AI to your application with Puter.js.

Explore Other Models

Model Card

Qianfan OCR Fast is a document intelligence model from Baidu's Qianfan team, purpose-built for optical character recognition tasks. It is an upgraded variant of the base Qianfan-OCR, trained on specialized OCR data while retaining general multimodal capabilities.

The underlying Qianfan-OCR architecture is a 4B-parameter end-to-end vision-language model that replaces traditional multi-stage OCR pipelines with a single model handling document parsing, layout analysis, table extraction, chart understanding, key information extraction, and document QA. It performs direct image-to-Markdown conversion and supports 192 languages. The base model scored 93.12 on OmniDocBench v1.5 and 79.8 on OlmOCR Bench, leading all end-to-end models on both.

Qianfan OCR Fast offers a 65K-token context window and is well suited for developers building document processing pipelines — invoice parsing, report extraction, exam grading, or RAG over scanned documents.

Context Window 66K

tokens

Max Output 29K

tokens

Input Cost $0.68

per million tokens

Output Cost $2.81

per million tokens

Release Date Apr 20, 2026

 

Code Example

Add AI to your app with the Puter.js AI API — no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

More AI Models From Baidu

Find other Baidu models →

Chat

ERNIE 4.5 VL 424B A47B

ERNIE 4.5 VL 424B A47B is Baidu's largest multimodal vision-language model with 424B total parameters and 47B active per token. It supports up to 131K context tokens and excels at visual reasoning, document/chart understanding, and visual question answering with both thinking and non-thinking modes. In thinking mode, it approaches or surpasses OpenAI o1 on reasoning benchmarks like MathVista, MMMU, and VisualPuzzle.

Frequently Asked Questions

How do I use Qianfan OCR Fast?

You can access Qianfan OCR Fast by Baidu through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is Qianfan OCR Fast free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Qianfan OCR Fast to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Qianfan OCR Fast?
Qianfan OCR Fast costs $0.68 per 1M input tokens and $2.81 per 1M output tokens.
Price per 1M tokens
Input$0.68
Output$2.81
Who created Qianfan OCR Fast?

Qianfan OCR Fast was created by Baidu and released on Apr 20, 2026.

What is the context window of Qianfan OCR Fast?

Qianfan OCR Fast supports a context window of 66K tokens. For reference, that is roughly equivalent to 131 pages of text.

What is the max output length of Qianfan OCR Fast?

Qianfan OCR Fast can generate up to 29K tokens in a single response.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Qianfan OCR Fast API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add AI to your application without worrying about API keys or setup.

Explore Models View Tutorials