Certainly! Here is the translated text in simplified Chinese, keeping the HTML structure intact: ```html 革新OCR技术：利用GPT视觉模型进行PDF转Markdown转换 ```

Sure, here's how you could structure the HTML while incorporating the translated text: ```html

介绍

``` In this example: - `

介绍

```html

在数字时代，高效的文件管理至关重要。尽管PDF文档在分享文件方面占据主导地位，但提取和转换其内容，特别是当其中包含图像文本时，可能是一项艰巨的任务。这时光学字符识别（OCR）技术登场了，现在还加入了GPT视觉模型的强大功能。

Sure, here's the text translated into simplified Chinese while keeping the HTML structure: ```html OCR与Markdown结合的力量 ```

Certainly! Here's the HTML structure with the translated text in simplified Chinese: ```html

OCR 技术长期以来一直是从图像中提取文本的首选解决方案，使扫描文档和 PDF 文件可搜索和可编辑。但是如果我们能够再进一步呢？通过将 OCR 技术与 Markdown 转换结合，我们可以将静态的 PDF 文件转化为结构良好、易于格式化的文档。

OCR 技术长期以来一直是从图像中提取文本的首选解决方案，使扫描文档和 PDF 文件可搜索和可编辑。但是如果我们能够再进一步呢？通过将 OCR 技术与 Markdown 转换结合，我们可以将静态的 PDF 文件转化为结构良好、易于格式化的文档。

在本文中，我们将探讨一个利用GPT Vision模型执行PDF文档OCR并将提取的文本转换为美观结构Markdown的Python脚本。无论您是开发者、研究人员还是处理大量PDF文档的任何人，本指南都将向您展示如何利用尖端人工智能技术简化文档转换过程。

Sure, here's how you would structure the HTML while translating "The Magic Behind the Scenes" into simplified Chinese: ```html

幕后的魔法

` is used for paragraph formatting. - "幕后的魔法" is the simplified Chinese translation of "The Magic Behind the Scenes".

Certainly! Here's how you could structure the HTML to display the translated text in simplified Chinese: ```html

我们的Python脚本自动化地从PDF文档中提取文本，并利用GPT视觉模型将其转换为Markdown格式。以下是它的高级概述：

• Certainly! Here's the translation of the text into simplified Chinese, while keeping the HTML structure: ```html PDF处理：脚本读取PDF文档，并将每一页转换为Base64编码的字符串。 ``` In this HTML snippet: - `` is used to indicate that the contained text is in simplified Chinese. - `PDF处理：脚本读取PDF文档，并将每一页转换为Base64编码的字符串。` is the translated text. This will ensure that the text "PDF Processing: The script reads PDF documents and converts each page into a base64-encoded string." appears in simplified Chinese when rendered in a web browser that supports displaying Chinese characters.
• Certainly! Here's how you can structure the HTML while translating the text to simplified Chinese: ```html

  OCR with GPT Vision: These encoded images are then processed by a GPT Vision model, which performs OCR to extract the text.

  ``` In simplified Chinese, it would be: ```html

  使用 GPT 视觉进行OCR：这些编码图像随后由 GPT 视觉模型处理，执行OCR以提取文本。

  ``` This maintains the HTML structure while presenting the translated text.
• Certainly! Here's the translated text in simplified Chinese, keeping the HTML structure: ```html
  Markdown 转换：提取的文本同时转换为结构良好的 Markdown，保留原始格式。
  ```
• Sure, here is the translated text in simplified Chinese, maintaining the HTML structure: ```html 输出生成：生成的Markdown内容已保存，准备好供进一步编辑或集成到您的工作流程中。 ``` This HTML snippet now contains the translated text in simplified Chinese.

Certainly! Here's the translation of "Setting Up Your Environment" in simplified Chinese while keeping the HTML structure: ```html

设置您的环境

在我们深入代码之前，让我们先设置好你的环境：

Certainly! Here is the translation of "Install the required libraries:" in simplified Chinese while keeping the HTML structure intact: ```html 安装所需的库： ```

pip install pymupdf
pip install langchain_community
pip install langchain_core
pip install langchain_openai

Certainly! Here's how you would structure the HTML while translating "Set up your API key:" into simplified Chinese: ```html

设置您的 API 密钥：

export OPENAI_API_KEY=’your_openai_api_key’

Certainly! Here's how you could structure and translate "The Code: A Closer Look" into simplified Chinese within an HTML context: ```html

代码：深入探讨

``` In this example: - `

` is used to denote a division or section in HTML. - "代码" means "code" in Chinese. - "深入探讨" translates to "A Closer Look" or "in-depth exploration." This HTML snippet retains the structure while providing the translated text in simplified Chinese.

import base64
import logging
from sys import argv

import pymupdf
from langchain_community.callbacks import get_openai_callback
from langchain_core.output_parsers.string import StrOutputParser
from langchain_core.prompts.chat import ChatPromptTemplate
from langchain_openai.chat_models import ChatOpenAI
from langchain_core.runnables import RunnableSerializable

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)


def system_prompt() -> str:
    return """You are an expert in optical character recognition (OCR) specializing in converting PDF images to Markdown format. 
Your task is to analyze images of PDF pages, accurately transcribe their content into well-structured Markdown. 
Follow these guidelines:

1. Examine the provided image(s) of PDF page(s) carefully.
2. Extract all text content from the image(s).
3. Convert the extracted text into properly formatted Markdown, preserving the original structure and layout.
4. Use appropriate Markdown syntax for headings, lists, tables, and other formatting elements.
5. For complex equations or formulas, use LaTeX syntax enclosed within $$ delimiters.
6. If there are images or diagrams, indicate their presence with a brief description in square brackets, e.g., [Image: diagram of a cell].
7. Maintain the logical flow and organization of the original document in your Markdown representation.
8. Return only the Markdown content without any additional explanations or markdown code block delimiters.

Proceed with the OCR and Markdown conversion task based on these instructions."""


def get_markdown_conversion_chain() -> RunnableSerializable:
    logger.info("Initializing the markdown conversion chain.")
    llm = ChatOpenAI(model="gpt-4o-mini", temperature=0)
    prompt_template = ChatPromptTemplate.from_messages(
        [
            ("system", system_prompt()),
            (
                "user",
                [
                    {
                        "type": "image_url",
                        "image_url": {"url": "data:image/jpeg;base64,{image_data}"},
                        "detail": "high",
                    }
                ],
            ),
        ]
    )
    return prompt_template | llm | StrOutputParser()


def pdf_to_base64(pdf_path: str) -> list[str]:
    logger.info(f"Converting PDF at {pdf_path} to base64.")
    with pymupdf.open(pdf_path) as pdf_file:
        base64_pages = [
            base64.b64encode(page.get_pixmap().tobytes()).decode("utf-8")  # type: ignore
            for page in pdf_file
        ]
    logger.info(f"Converted {len(base64_pages)} pages to base64.")
    return base64_pages


def convert_pdf_to_markdown(pdf_paths: list[str]) -> list[str]:
    logger.info("Starting PDF to Markdown conversion process.")
    markdown_conversion_chain = get_markdown_conversion_chain()
    markdown_documents = []
    for path in pdf_paths:
        logger.info(f"Processing PDF: {path}")
        base64_pages = pdf_to_base64(path)
        markdown_pages = markdown_conversion_chain.batch(
            [{"image_data": page} for page in base64_pages]
        )
        markdown_documents.extend(markdown_pages)
    logger.info("PDF to Markdown conversion process completed.")
    return markdown_documents


if __name__ == "__main__":
    logger.info("Script execution started.")
    with get_openai_callback() as callback:
        response = convert_pdf_to_markdown(argv[1:])
        output_path = "src/output/markdown.md"
        with open(output_path, "w") as output_file:
            output_file.write("\n".join(response))
        logger.info(f"Markdown content written to {output_path}.")
        print(callback)
    logger.info("Script execution finished.")

Sure, here's the translation in simplified Chinese while keeping the HTML structure: ```html 让我们来分解我们脚本的关键组成部分： ``` This HTML snippet preserves the structure and simply replaces the English text with its Chinese translation.

1. Certainly! Here's the HTML structure with the translated text in simplified Chinese: ```html

   系统提示：我们定义了一个详细的提示，指导 GPT Vision 模型如何执行光学字符识别（OCR）并将文本转换为 Markdown。

   ```
2. Sure, here's the HTML structure with the translated text in simplified Chinese: ```html

   Markdown 转换链条：我们使用 ChatOpenAI 设置了一个转换链条，该链条处理 base64 编码的 PDF 图像，并生成 Markdown 输出。

   ``` In this HTML snippet: - `

   ` is used for the paragraph structure. - The Chinese text provided is a direct translation of "Markdown Conversion Chain: We set up a conversion chain using ChatOpenAI, which processes the base64-encoded PDF images and produces Markdown output."

3. Sure, here's the text translated to simplified Chinese and formatted in an HTML structure: ```html PDF-to-Base64 转换：PDF 的每一页都被转换成一个 base64 编码的字符串以便处理。 ``` In HTML: ```html

   PDF-to-Base64 转换：PDF 的每一页都被转换成一个 base64 编码的字符串以便处理。

   ```
4. Sure, here's the translated text in simplified Chinese, while maintaining HTML structure: ```html PDF-to-Markdown Conversion: 核心功能通过转换链处理每个编码的PDF页面。 ``` In this HTML snippet: - `PDF-to-Markdown Conversion:` is the English text. - `核心功能通过转换链处理每个编码的PDF页面。` is the translated text in simplified Chinese.
5. Certainly! Here's the translation in simplified Chinese while keeping the HTML structure intact: ```html 主要执行：该脚本处理命令行参数，处理PDF文件，并将生成的Markdown写入输出文件。 ``` This HTML structure ensures the text is formatted properly within an HTML document.

Certainly! Here's how you can write "Results and Performance" in simplified Chinese while keeping the HTML structure intact: ```html 结果与表现 ``` In this HTML snippet: - `` is used to define a section in a document. - `lang="zh-CN"` specifies the language as simplified Chinese. - "结果与表现" is the translation of "Results and Performance" into simplified Chinese.

Certainly! Here's how you can structure your HTML to display the translated text in simplified Chinese: ```html

在我们的测试中，我们使用 GPT-4o 和 GPT-4o-mini 模型处理了一个三页的 PDF。结果令人印象深刻：

``` This HTML snippet will display the translated text in your webpage while maintaining the structure.

• Sure, here's the translated text in simplified Chinese, keeping the HTML structure intact: ```html GPT-4o-mini: 成本约为每三页 $0.01 ``` This HTML snippet preserves the original structure while providing the simplified Chinese translation.
• Certainly! Here is the translation in simplified Chinese while maintaining HTML structure: ```html GPT-4o: 成本约为$0.05，可提供三页内容 ``` This HTML structure preserves the original text while incorporating the Chinese translation.

Sure, here's how you can structure the HTML and translate the text into simplified Chinese: ```html

Both models successfully captured formulas and tables in the proper format, with GPT-4o showing slightly better output quality.

``` Translated text in simplified Chinese: ```html

两种模型成功地以适当的格式捕获了公式和表格，GPT-4o 显示出稍微更好的输出质量。

``` In this HTML snippet: - `

` is used for a paragraph. - `` is used for inline text with language attributes (`lang="en"` for English and `lang="zh"` for Chinese). - The English text is placed inside `...`. - The simplified Chinese translation is placed inside `...`.

Certainly! Here's how you can write "Conclusion" in simplified Chinese while keeping the HTML structure intact: ```html 结论 ``` In Chinese, "Conclusion" translates to "结论" (jié lùn).

Sure, here's the translated text in simplified Chinese while keeping the HTML structure intact: ```html 通过结合GPT视觉模型的力量和OCR技术，我们创造了一个强大的解决方案，用于将PDF文档转换为Markdown。这种方法不仅节省时间、减少手动操作，而且确保在文档转换中高准确性和一致性。 ``` Translated text: ```html 通过结合GPT视觉模型的力量和OCR技术，我们创造了一个强大的解决方案，用于将PDF文档转换为Markdown。这种方法不仅节省时间、减少手动操作，而且确保在文档转换中高准确性和一致性。 ```

Certainly! Here's the HTML structure with the translated text in simplified Chinese: ```html

随着人工智能技术的不断发展，我们可以预期将会有更强大、更高效的工具用于文档处理。目前，这段 Python 脚本在自动化将 PDF 转换为可编辑、可搜索和格式优美的 Markdown 文档方面迈出了重要的一步。

``` In this HTML snippet, the translated text appears within the `

` (paragraph) tags, maintaining the structure of the original HTML document.

Certainly! Here's how you can structure the HTML while translating the text to simplified Chinese: ```html

您准备好彻底改革文档管理工作流了吗？尝试一下这个脚本，亲身体验AI驱动的OCR技术的强大吧！

``` In this HTML snippet: - `

` tags are used to wrap the translated text, indicating a paragraph. - The Chinese text provided is a direct translation of the English text into simplified Chinese.