Qianfan-OCR is an end-to-end model with 4B parameters for working with documents.

Main idea is one model instead of an entire pipeline.

➡️ What it can do?

• Document parsing in one pass
Without splitting into OCR → post-processing → extraction.
The model immediately outputs a structured result.

• Tables
Correctly extracts the structure of tables, rows, and values.

• Formulas
Recognizes mathematical expressions and converts them into a readable form.

• Charts & diagrams
Understands visual data and extracts meaning from it.

• Key information extraction
Automatically retrieves key fields: sums, dates, names, etc.

Previously, this required a complex stack: OCR → layout detection → table parser → rule-based extraction.

Now, all of this replaced by one model, which does everything at once. In fact, this is a step towards systems that can understand documents just like a human.

#AI #OCR #LLM #ML

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🤖 Data & ML | @DataXplore