PDF to Markdown Conversion - Revision history

Planetoid at 09:42, 15 September 2026

2026-09-15T09:42:44Z

← Older revision		Revision as of 17:42, 15 September 2026
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	for Chinese-language PDFs in particular, the OCR models with better accuracy tend to come from Chinese vendors, which adds the extra burden of converting between Simplified and Traditional Chinese and proofreading the results, making this data-cleaning process quite labor-intensive, so by comparison, converting documents directly with a multimodal large language model turns out to be more efficient.		for Chinese-language PDFs in particular, the OCR models with better accuracy tend to come from Chinese vendors, which adds the extra burden of converting between Simplified and Traditional Chinese and proofreading the results, making this data-cleaning process quite labor-intensive, so by comparison, converting documents directly with a multimodal large language model turns out to be more efficient.

	== Introduction ==		== 1. Text-Based PDFs ==

			If the PDF content is primarily text-based, you can use:

			* [https://github.com/microsoft/markitdown MarkItDown] (consumes no AI tokens)
			* If you don't need Markdown formatting and just want to extract plain text, you can also use <code>pdftotext</code> https://www.xpdfreader.com/pdftotext-man.html

			== 2. Image-Based PDFs ==

			If the PDF content is primarily image-based (scanned documents, screenshots, charts, etc.), it's recommended to:

			* Use a model with vision/graphical recognition or multimodal capabilities directly, such as GPT-4.5 (consumes AI tokens)
			* Or use the [https://github.com/microsoft/markitdown/blob/main/packages/markitdown-ocr/README.md MarkItDown OCR Plugin] (consumes AI tokens), though it tends to make mistakes with more complex charts/diagrams

			=== Introduction ===

	This prompt is designed to convert a PDF document into structured Markdown while preserving not only its textual content, but also information contained in images, charts, screenshots, scanned pages, diagrams, and other visual elements.		This prompt is designed to convert a PDF document into structured Markdown while preserving not only its textual content, but also information contained in images, charts, screenshots, scanned pages, diagrams, and other visual elements.
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	The goal is to produce a Markdown representation that preserves the original document as faithfully as possible, including its content, structure, reading order, tables, formatting, visually embedded text, and source references.		The goal is to produce a Markdown representation that preserves the original document as faithfully as possible, including its content, structure, reading order, tables, formatting, visually embedded text, and source references.

	== Model Requirements ==		=== Model Requirements ===

	This prompt should be used with an AI model that supports '''vision, image understanding, or multimodal input'''.		This prompt should be used with an AI model that supports '''vision, image understanding, or multimodal input'''.
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	A text-only model, or a PDF processing pipeline that extracts only the PDF text layer, is '''not sufficient''' for this task because text embedded in screenshots, scanned pages, charts, diagrams, or other images may otherwise be omitted.		A text-only model, or a PDF processing pipeline that extracts only the PDF text layer, is '''not sufficient''' for this task because text embedded in screenshots, scanned pages, charts, diagrams, or other images may otherwise be omitted.

	== ~~Task~~ ==		=== Prompt ===

	Prompt		Prompt

Planetoid at 09:17, 15 September 2026

2026-09-15T09:17:35Z

← Older revision		Revision as of 17:17, 15 September 2026
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	PDF to Markdown Conversion		PDF to Markdown Conversion

	{{Tips}} Many people recommend MarkItDown, a tool developed by Microsoft, which works well on text-based PDFs but requires enabling its OCR plugin ~~(using GPT-4o by default)~~ for image-based ~~PDFs—and~~ even then, conversions can still fail; for Chinese-language PDFs in particular, the OCR models with better accuracy tend to come from Chinese vendors, which adds the extra burden of converting between Simplified and Traditional Chinese and proofreading the results, making this data-cleaning process quite labor-intensive, so by comparison, converting documents directly with a multimodal large language model turns out to be more efficient.		{{Tips}} Many people recommend MarkItDown, a tool developed by Microsoft, which works well on text-based PDFs but requires enabling its OCR plugin for image-based PDFs and even then, conversions can still fail;

			for Chinese-language PDFs in particular, the OCR models with better accuracy tend to come from Chinese vendors, which adds the extra burden of converting between Simplified and Traditional Chinese and proofreading the results, making this data-cleaning process quite labor-intensive, so by comparison, converting documents directly with a multimodal large language model turns out to be more efficient.

	== Introduction ==		== Introduction ==
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	[[Category: Tools]]		[[Category: Tools]]
			[[Category: PDF Processing]]
			[[Category: Document Conversion]]

Planetoid at 09:11, 15 September 2026

2026-09-15T09:11:10Z

← Older revision		Revision as of 17:11, 15 September 2026
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	PDF to Markdown Conversion		PDF to Markdown Conversion

	{{Tips}} Many people ~~online~~ recommend ~~using~~ MarkItDown, a tool developed by Microsoft.		{{Tips}} Many people recommend MarkItDown, a tool developed by Microsoft, which works well on text-based PDFs but requires enabling its OCR plugin (using GPT-4o by default) for image-based PDFs—and even then, conversions can still fail; for Chinese-language PDFs in particular, the OCR models with better accuracy tend to come from Chinese vendors, which adds the extra burden of converting between Simplified and Traditional Chinese and proofreading the results, making this data-cleaning process quite labor-intensive, so by comparison, converting documents directly with a multimodal large language model turns out to be more efficient.

	~~When the source PDF is a~~ text-based ~~presentation, the conversion results are quite satisfactory. However, if the PDF content is image-based, MarkItDown's~~ OCR plugin (~~which uses the~~ GPT-4o ~~model~~ by default) ~~must be separately enabled to perform recognition.~~

	~~Even so~~, ~~conversion failures~~ still ~~occur from time to time. For those primarily converting~~ Chinese-language PDFs ~~to Markdown~~, the OCR models with better ~~Chinese recognition~~ accuracy tend to come from Chinese vendors, which ~~then requires additional work to convert~~ between Simplified and Traditional Chinese ~~terminology~~ and ~~proofread~~ the ~~text. This~~ data-cleaning process ~~alone can be~~ quite labor-intensive.

	By comparison, converting documents directly with a large language model ~~that has image recognition or multimodal capabilities~~ turns out to be more efficient.

	== Introduction ==		== Introduction ==

Planetoid at 09:04, 15 September 2026

2026-09-15T09:04:45Z

← Older revision		Revision as of 17:04, 15 September 2026
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	PDF to Markdown Conversion		PDF to Markdown Conversion

			{{Tips}} Many people online recommend using MarkItDown, a tool developed by Microsoft.

			When the source PDF is a text-based presentation, the conversion results are quite satisfactory. However, if the PDF content is image-based, MarkItDown's OCR plugin (which uses the GPT-4o model by default) must be separately enabled to perform recognition.

			Even so, conversion failures still occur from time to time. For those primarily converting Chinese-language PDFs to Markdown, the OCR models with better Chinese recognition accuracy tend to come from Chinese vendors, which then requires additional work to convert between Simplified and Traditional Chinese terminology and proofread the text. This data-cleaning process alone can be quite labor-intensive.

			By comparison, converting documents directly with a large language model that has image recognition or multimodal capabilities turns out to be more efficient.

	== Introduction ==		== Introduction ==

Planetoid at 08:42, 15 September 2026

2026-09-15T08:42:50Z

← Older revision		Revision as of 16:42, 15 September 2026
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	= PDF to Markdown Conversion =		PDF to Markdown Conversion

	== Introduction ==		== Introduction ==
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	</pre>		</pre>

			== Similar tools ==
			* [https://github.com/microsoft/markitdown microsoft/markitdown: Python tool for converting files and office documents to Markdown.] & its [https://github.com/microsoft/markitdown/blob/main/packages/markitdown-ocr/README.md MarkItDown OCR Plugin]

	== References ==		== References ==

Planetoid: Created page with "= PDF to Markdown Conversion = == Introduction == This prompt is designed to convert a PDF document into structured Markdown while preserving not only its textual content, but also information contained in images, charts, screenshots, scanned pages, diagrams, and other visual elements. The goal is to produce a Markdown representation that preserves the original document as faithfully as possible, including its content, structure, reading order, tables, formatting, vis..."

2026-09-15T08:39:46Z

Created page with "= PDF to Markdown Conversion = == Introduction == This prompt is designed to convert a PDF document into structured Markdown while preserving not only its textual content, but also information contained in images, charts, screenshots, scanned pages, diagrams, and other visual elements. The goal is to produce a Markdown representation that preserves the original document as faithfully as possible, including its content, structure, reading order, tables, formatting, vis..."

New page

= PDF to Markdown Conversion =

== Introduction ==

This prompt is designed to convert a PDF document into structured Markdown while preserving not only its textual content, but also information contained in images, charts, screenshots, scanned pages, diagrams, and other visual elements.

The goal is to produce a Markdown representation that preserves the original document as faithfully as possible, including its content, structure, reading order, tables, formatting, visually embedded text, and source references.

== Model Requirements ==

This prompt should be used with an AI model that supports '''vision, image understanding, or multimodal input'''.

The model must be capable of analyzing visual content inside a PDF, rather than relying solely on text extracted from the PDF's text layer.

Examples of suitable multimodal or vision-capable models include:

* '''OpenAI:''' GPT-4.5<ref>[https://openai.com/zh-Hant/index/introducing-gpt-4-5/ 隆重介紹 GPT-4.5 | OpenAI]</ref>, GPT-4.1, GPT-5 series
* '''Google:''' Gemini models with multimodal/image understanding capabilities, such as Gemini 2.5 Flash<ref>[https://ai.google.dev/gemini-api/docs/models/gemini-2.5-flash?hl=zh-tw Gemini 2.5 Flash | Gemini API | Google AI for Developers]</ref> or Gemini 2.5 Pro
* '''Anthropic:''' Claude models with vision/image-input support

Equivalent or newer multimodal models or models with vision capabilities may also be used, provided that they can inspect images and graphical content contained within the PDF.

A text-only model, or a PDF processing pipeline that extracts only the PDF text layer, is '''not sufficient''' for this task because text embedded in screenshots, scanned pages, charts, diagrams, or other images may otherwise be omitted.

== Task ==

Prompt
<pre>

I will provide a PDF file. Convert its contents into Markdown-formatted text.

Please follow these requirements:

# If the PDF contains images, charts, screenshots, scanned pages, diagrams, or other graphical content, inspect the visual content and extract '''all readable text contained within it'''.

Transcribe that text into the Markdown output. Do not omit text simply because it is embedded in an image rather than stored in the PDF text layer.

# If a graphical element contains no text, such as a photograph, icon, illustration, or purely visual diagram, do not skip it.

Represent it using the following format:

<code>[Image: Brief description of its content or purpose]</code>

# Preserve the original document's structure and hierarchy as closely as possible, including:

* Headings (<code>#</code>, <code>##</code>, <code>###</code>, etc.)
* Paragraphs
* Ordered and unordered lists
* Tables
* '''Bold text'''
'' ''Italic text*
* Blockquotes
* Code blocks
* Other meaningful structural formatting

# Convert tables into standard Markdown table syntax whenever possible.

If a table is too complex to reproduce accurately in Markdown, explain the limitation and preserve the relationships between rows, columns, headers, and values as faithfully as possible.

# If a page contains both textual and graphical content, preserve the original '''reading order'''.

Insert transcribed image content or image descriptions at the position where the corresponding visual element appears in the document.

# Do not add, rewrite, correct, infer, summarize, or guess information that does not appear in the original PDF.

The output should be a transcription and structural conversion, not an interpretation of the document.

# If any text is blurry, obscured, incomplete, or otherwise impossible to identify reliably, use:

<code>[Unrecognizable]</code>

Do not guess the missing text.

# When both the PDF text layer and the visual rendering contain the same text, avoid unnecessary duplication.

Prefer the version that most accurately represents the document while preserving visually significant information that may not exist in the text layer.

# Pay particular attention to visual elements that commonly contain important text, including:

* Screenshots
* Scanned documents
* Infographics
* Flowcharts
* Charts and graphs
* Forms
* Presentation slides embedded in the PDF
* Captions and annotations
* Labels inside diagrams
* Text rendered as part of an image

</pre>

== References ==
<references />

[[Category: Tools]]