AI Expertise
Open Models / PaddleOCR
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PaddleOCR

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Description

PaddleOCR is an open toolkit that turns images and PDFs into text and structured output (JSON or Markdown). It covers two tasks: recognizing text in photos and scans, and parsing whole documents with tables and formulas. For documents it offers a small vision-language model (PaddleOCR-VL) and a structure pipeline (PP-StructureV3) that also gives table cell coordinates. The authors say it supports more than 100 languages. It runs on Python 3.8 to 3.12 on Linux, Windows and macOS, on a CPU or on NVIDIA GPUs and other accelerators. The code is under Apache-2.0. An online demo is available on the project site.

Pros and cons

Pros

  • Apache-2.0 license, commercial use allowed
  • More than 100 languages, per the authors
  • Works on a plain CPU as well as on GPUs
  • Both simple text recognition and full document parsing with tables and formulas

Cons

  • A set of tools to install and configure, not a ready app
  • Handwriting is not listed among its features

Key facts

License
Apache-2.0
Commercial use
Allowed
Hardware requirements
Runs on CPU or on NVIDIA GPU and other accelerators (per the authors)
Developer
PaddlePaddle
Checked on
Oct 20, 2026

Editorial score

How strongly the AI Expertise editors recommend this open model for each of its tasks right now, on a 0–10 scale. The score combines output quality, capabilities, ease of launch, license openness and freshness.

Text recognition

9.1 / 10
Output quality 8.5
Low High
Features 9.5
Basic Rich
Ease of launch 8.5
Hard Easy
License openness 10.0
Restricted Open
Freshness 9.0
Outdated Fresh